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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_get_namespace_device_dtype_idsÚ)yield_namespace_device_dtype_combinations)ÚCheckingClassifierÚMockDataFrame)
ÚMinimalClassifierÚMinimalRegressorÚMinimalTransformerÚ_array_api_for_testsÚassert_allcloseÚassert_allclose_dense_sparseÚassert_almost_equalÚassert_array_almost_equalÚassert_array_equalÚset_random_state)Ú_enforce_estimator_tags_y)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selfra   s     úŽ/var/www/ITT-ServiceAPI-Services/ITT-Document-Scan/mrzscanner/mrzenv/lib/python3.12/site-packages/sklearn/model_selection/tests/test_search.pyÚ__init__zMockClassifier.__init__p   ó	   € Ø"ˆ�ó    c                 ól   — t        |«      t        |«      k(  sJ ‚t        j                  |«      | _        | S r_   )ÚlenÚnpÚuniqueÚclasses_©rb   ÚXÚYs      rc   ÚfitzMockClassifier.fits   s,   € Ü�1‹vœ˜Q›ÒÐÐÜŸ	™	 !›ˆŒØˆrf   c                 ó    — |j                   d   S ©Nr   ©Úshape)rb   ÚTs     rc   ÚpredictzMockClassifier.predictx   s   € Ø�w‰w�q‰zÐrf   c                 ó    — || j                   z   S r_   r`   ©rb   rm   s     rc   Ú	transformzMockClassifier.transform{   ó   € Ø�4—>‘>Ñ!Ð!rf   c                 ó    — || j                   z
  S r_   r`   rw   s     rc   Úinverse_transformz MockClassifier.inverse_transform~   ry   rf   Nc                 ó0   — | j                   dkD  rd}|S d}|S )Né   ç      ð?ç        r`   )rb   rm   rn   Úscores       rc   r€   zMockClassifier.score…   s&   € Ø�>‰>˜AÒØˆEð ˆð ˆEØˆrf   c                 ó   — d| j                   iS ©Nra   r`   )rb   Údeeps     rc   Ú
get_paramszMockClassifier.get_paramsŒ   s   € Ø˜TŸ^™^Ð,Ð,rf   c                 ó   — |d   | _         | S r‚   r`   )rb   Úparamss     rc   Ú
set_paramszMockClassifier.set_params�   s   € Ø Ñ,ˆŒØˆrf   )r   ©NN)F)Ú__name__Ú
__module__Ú__qualname__Ú__doc__rd   ro   ru   rx   r{   Úpredict_probaÚpredict_log_probaÚdecision_functionr€   r„   r‡   © rf   rc   r]   r]   m   s@   „ ÙBó#òò
ò"ò"ð €MØÐØÐóó-órf   r]   c                   ó    — e Zd ZdZed„ «       Zy)ÚLinearSVCNoScorez0A LinearSVC classifier that has no score method.c                 ó   — t         ‚r_   )ÚAttributeError©rb   s    rc   r€   zLinearSVCNoScore.score—   s   € äÐrf   N)r‰   rŠ   r‹   rŒ   Úpropertyr€   r�   rf   rc   r’   r’   ”   s   „ Ù:àñó ñrf   r’   éÿÿÿÿéþÿÿÿr}   é   )r}   r}   r™   r™   c                 ót   — t        | «      t        t        | «      «      D �cg c]  }| |   ‘Œ	 c}k(  sJ ‚y c c}w r_   )ÚlistÚrangerh   )ÚgridÚis     rc   Úassert_grid_iter_equals_getitemrŸ       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       rc   Útest_validate_parameter_inputr­   ¤   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)Nr¤   ©r}   r™   é   r°   é   r™   )ÚhamÚspamÚeggs©r¤   Úbaré   c           	   3   ól   K  — | ],  }t        t        t        |j                  «       «      Ž «      –— Œ. y ­wr_   )Útupler   ÚsortedÚitems)Ú.0Úps     rc   ú	<genexpr>z&test_parameter_grid.<locals>.<genexpr>Ç   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¶   r¤   Nr�   )r¼   ÚxÚys      rc   r¾   z&test_parameter_grid.<locals>.<genexpr>È   s"   è ø€ ò 
Ù%) Q¨ˆU�A�u˜aÔ ñ
ùs   ‚r¶   r}   ÚCr¡   ç      à?)r1   Ú
isinstancer   r   rh   rŸ   rœ   Úsetr   r›   r¨   r©   Ú
IndexError)Úparams1Úgrid1Úparams2Úgrid2rž   ÚpointsÚemptyÚ	has_emptys           rc   Útest_parameter_gridrÎ   ·   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˜$ÒÐÐÜ# EÔ*Ü	�‰”zÓ	"ñ ØˆaŠ÷ô   a¨ W˜~¨r°C¸#¸°<Ð@ÓA€IÜˆy‹>˜QÒÐÐÜ�	‹?  Q˜x¨#¨r¨°B¸¸c¸
ÐCÒCÐCÐCÜ# IÕ.÷ð ús   ÄE2Å2E;c                  óž  — t        «       } t        | dg d¢idd¬«      }t        j                  }t	        «       t        _        |j                  t        t        «       |t        _        |j                  j                  dk(  sJ ‚t        |j                  d   j                  g d¢«       |j                  t        t        «       |j                  t        «       |j                  t        «       |j!                  t        «       d|_        t%        j&                  t(        «      5  |j                  t        t        «       d d d «       y # 1 sw Y   y xY w)Nra   r¯   r™   r°   ©ÚcvÚverboseÚparam_foo_paramÚsklearn)r]   r*   ÚsysÚstdoutr   ro   rm   rÁ   Úbest_estimator_ra   rW   Úcv_results_Údatar€   r�   r�   rx   Úscoringr¨   r©   Ú
ValueError)ÚclfÚgrid_searchÚ
old_stdouts      rc   Útest_grid_searchrß   Û   sñ   € ä
Ó
€CÜ˜s [²)Ð$<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™   ©rÑ   Úparam_regressorr   r}   Úcoef_)r>   r   r    r*   ro   rm   rÁ   rØ   rÄ   Úhasattrr×   )ÚpipeÚ
param_gridrÝ   Úregressor_resultss       rc   Útest_grid_search_pipeline_stepsré   ô   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;rf   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   r¡   r   é   r}   r³   r´   )Úexpected_fit_paramsra   r¯   r™   Úraise©rÑ   Úerror_scorez0Expected fit parameter\(s\) \['eggs'\] not seen.r¦   )r³   z)Fit parameter spam has length 1; expected)r³   r´   )ri   ÚarangeÚreshapeÚarrayrM   r¨   r©   ÚAssertionErrorro   ÚonesÚzeros)rê   rm   rÁ   rÜ   ÚsearcherÚerr_msgs         rc   Útest_SearchCV_with_fit_paramsrú     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™   ©rý   Úcenters©çš™™™™™¹?r}   r¡   rÂ   Úaccuracy©rÚ   z
no scoringr¦   r}   )
rE   r   r’   r*   ro   Úbest_params_r€   r¨   r©   Ú	TypeError)rÜ   rm   rÁ   ÚCsÚclf_no_scorerÝ   Úgrid_search_no_scores          rc   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 )Nrì   r™   çš™™™™™É?r   ©Ú	n_samplesÚ	n_classesÚflip_yrý   rü   rÂ   r  r  r  Úroc_aucr~   )r   rE   r*   ro   r’   r€   rU   )rm   rÁ   rÜ   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               rc   Útest_grid_search_score_methodr  1  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6rf   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$ y # 1 sw Y   Œ[xY w)Nr   é   r™   )r  r  rý   r°   rü   rÂ   r}   ©Ún_splitsz*The 'groups' parameter should not be None.râ   r¦   ©Úgroups)ri   ÚrandomÚRandomStater   ÚrandintrE   r/   r0   r+   r,   r*   r¨   r©   rÛ   ro   r4   r5   )Úrngrm   rÁ   r  rÜ   r�   Ú	group_cvsÚ	error_msgrÑ   ÚgsÚnon_group_cvss              rc   Útest_grid_search_groupsr(  M  s  € ô �)‰)×
Ñ
 Ó
"€Cä¨°qÀqÔI�D€A€qØ�[‰[˜˜A˜rÓ"€Fä
 Ô
#€CØ�!�ˆ:€Dô 	ÓÜ˜ÓÜ˜AÔÜÓð	€Ið =€IØò $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 )Nrì   r¡   r   rí   r}   r   rü   rÂ   Úalphar~   ç       @rk   F)Úrefit)ri   rò   ró   rô   r*   rE   ro   rW   r×   rk   r    rå   )rm   rÁ   r  rÝ   s       rc   Útest_classes__propertyr-  l  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/rf   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 )Nra   r}   r™   râ   rØ   r   )r£   rÑ   )r]   r*   ro   rm   rÁ   rå   r3   )rÜ   rÝ   Úrandom_searchs      rc   Útest_trivial_cv_results_attrr0  …  st   € ä
Ó
€CÜ˜s [°1°#Ð$6¸1Ô=€KØ‡O�O”A”qÔÜ�; Ô.Ð.Ð.ä& s¨[¸1¸#Ð,>ÀqÈQÔO€MØ×Ñ”aœÔÜ�= -Ô0Ð0Ñ0rf   c            
      óÞ  — t        «       } d ddgfD ]ë  }t        | dg d¢idd¬«      }|j                  t        t        «       t        |d«      st        |d	«      rt        |d
«      sJ ‚dD ]‘  }d|› d�}d|› d�}t        j                  t        |¬«      5 } t        ||«      t        «       d d d «       t        j                  j                  t        «      sJ ‚|t        |j                  j                  «      v rŒ‘J ‚ Œí d}dD ]P  }t        j                  t        |¬«      5  t        | i |dddœ¬«      j                  t        t        «       d d d «       ŒR y # 1 sw Y   Œ®xY w# 1 sw Y   ŒixY w)Nr  Ú	precisionra   r¯   Fr™   ©r,  rÑ   r×   Úbest_index_r  )ru   r�   rŽ   rx   r{   zhas no attribute 'ú'z`refit=False`. z9 is available only after refitting on the best parametersr¦   zIFor multi-metric scoring, the parameter refit must be set to a scorer key)TÚrecallr  )ÚaccÚprec)r,  rÚ   )r]   r*   ro   rm   rÁ   rå   r¨   r©   r”   ÚgetattrrÄ   ÚvalueÚ	__cause__ÚstrrÛ   )	rÜ   rÚ   rÝ   Úfn_nameÚ	outer_msgÚ	inner_msgÚ	exec_infor%  r,  s	            rc   Útest_no_refitrA  ‘  s}  € ä
Ó
€CØ˜: {Ð3Ð4ò ?ˆÜ" 3¨²iÐ(@ÈÐRSÔTˆØ�‰œœ1Ôä˜Ð%6Ô7Ü˜ ]Ô3Ü˜ ^Ô4ð	
ð5ð
ò 	?ˆGð -¨W¨I°QÐ7ˆIà! ' ð +3ð 3ð ô —‘œ~°YÔ?ð 1À9Ø-”˜ WÓ-¬aÔ0÷1ô ˜iŸo™o×7Ñ7¼ÔHÐHÐHØ¤ I§O¡O×$=Ñ$=Ó >Ò>Ð>Ð>ñ!	?ð?ð> 	Tð ð .ò ˆÜ�]‰]œ:¨YÔ7ñ 	ÜØ�R˜u°jÈ+Ñ.Vôç‰c”!”QŒi÷	ð 	ñ÷1ð 1ú÷	ð 	ús   ÂEÄ!+E#ÅE Å#E,	c                  óà   — t        ddd¬«      \  } }t        «       }t        |dddgi«      }t        j                  t
        «      5  |j                  | d d |«       d d d «       y # 1 sw Y   y xY w)	NéÈ   rì   r   ©r  Ú
n_featuresrý   rÂ   r  r~   é´   )r   rE   r*   r¨   r©   rÛ   ro   )ÚX_Úy_rÜ   rÑ   s       rc   Útest_grid_search_errorrI  ¼  se   € ä ¨3¸3ÈQÔO�F€Bˆä
‹+€CÜ	�c˜C # s Ð,Ó	-€BÜ	�‰”zÓ	"ñ Ø
�‰ˆr�$�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 )NrC  rì   r   rD  r~   Úrbfr  )rÂ   ÚkernelÚgammaÚauto©rM  )r   rD   r*   ro   rW   Ú
dual_coef_r×   )rG  rH  Ú
param_dictrÜ   rÑ   s        rc   Útest_grid_search_one_grid_pointrR  Æ  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Erf   c                  óº   — t        «       } d }t        | dt        dd«      id¬«      }|j                  t        t
        «       |j                  j                  dk(  sJ ‚y )Nra   r}   r±   r™   râ   )r]   r*   rœ   ro   rm   rÁ   r×   ra   )rÜ   rÝ   s     rc   Ú/test_grid_search_when_param_grid_includes_rangerT  Ô  sP   € ä
Ó
€CØ€KÜ˜s [´%¸¸1³+Ð$>À1ÔE€KØ‡O�O”A”qÔØ×&Ñ&×0Ñ0°AÒ5Ð5Ñ5rf   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)Nr¡   rí   r   rD  rÂ   r}   rN  rO  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   rD   ÚreÚescaper*   r¨   r©   r  ro   rÛ   ri   rö   )rm   rÁ   rQ  rÜ   r%  Úsearchs         rc   Útest_grid_search_bad_param_gridrY  Ý  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 )
NrC  rì   r   rD  rÂ   r  r~   rF  gÍÌÌÌÌÌì?)
r   rE   r*   ro   ru   r×   rÂ   Útocoori   Úmean)	rZ  rG  rH  rÜ   rÑ   Úy_predrÂ   Úy_pred2ÚC2s	            rc   Útest_grid_search_sparsera    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‰7rf   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 )NrC  rì   r   rD  rÂ   r  r~   Úf1r  rF  c                 ó   — t        | |«       S r_   )r$   )Úy_true_Úy_pred_s     rc   Úf1_lossz0test_grid_search_sparse_scoring.<locals>.f1_loss3  s   € Ü˜ 'Ó*Ð*Ð*rf   F)Úgreater_is_better)	r   rE   r*   ro   ru   r×   rÂ   rW   r%   )rZ  rG  rH  rÜ   rÑ   r^  rÂ   r_  r`  rg  ÚF1LossÚy_pred3ÚC3s                rc   Útest_grid_search_sparse_scoringrl    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'rf   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)NrC  rì   r   rD  rF  Úprecomputed©rL  rÂ   r  r~   )r   ri   Údotrt   rD   r*   ro   Úbest_score_ru   r]  r¨   r©   rÛ   Útolist)	rG  rH  ÚK_trainÚy_trainrÜ   rÑ   ÚK_testÚy_testr^  s	            rc   Ú#test_grid_search_precomputed_kernelrw  @  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$¨Ò)Ð)Ð)ô 
�‰”zÓ	"ñ *Ø
�‰ˆw�~‰~Ó Ô)÷*÷ *ñ *ús   Ã.!DÄD!c                  ó  — t        j                  d«      } t        j                  d«      }t        d¬«      }t	        |dddgi«      }t        j                  t        «      5  |j                  | |«       d d d «       y # 1 sw Y   y xY w)N)r¡   é   )r¡   rn  ro  rÂ   r  r~   )	ri   r÷   rö   rD   r*   r¨   r©   rÛ   ro   )rs  rt  rÜ   rÑ   s       rc   Ú3test_grid_search_precomputed_kernel_error_nonsquarerz  ]  sm   € ô �h‰h�xÓ €GÜ�g‰g�e‹n€GÜ
�]Ô
#€CÜ	�c˜C # s Ð,Ó	-€BÜ	�‰”zÓ	"ñ !Ø
�‰ˆw˜Ô ÷!÷ !ñ !ús   Á A<Á<Bc                   ó$   — 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 r_   ©Ú	parameter©rb   r  s     rc   rd   zBrokenClassifier.__init__k  re   rf   c                 ó.   — t        | d«      rJ ‚d| _        y )NÚhas_been_fit_T)rå   r‚  ©rb   rm   rÁ   s      rc   ro   zBrokenClassifier.fitn  s   € Ü˜4 Ô1Ð1Ð1Ø!ˆÕrf   c                 óF   — t        j                  |j                  d   «      S rq   ©ri   r÷   rs   rw   s     rc   ru   zBrokenClassifier.predictr  ó   € Ü�x‰x˜Ÿ™ ™
Ó#Ð#rf   r_   )r‰   rŠ   r‹   rŒ   rd   ro   ru   r�   rf   rc   r|  r|  h  s   „ Ù4ó#ò"ó$rf   r|  z1ignore::sklearn.exceptions.UndefinedMetricWarningc                  óê   — t        j                  d«      j                  dd«      } t        j                  dgdz  dgdz  z   «      }t	        t        «       dddgigdd¬	«      }|j                  | |«       y )
Nrì   r¡   r   rí   r}   r  r2  T©rÚ   r,  )ri   rò   ró   rô   r*   r|  ro   )rm   rÁ   rÜ   s      rc   Ú
test_refitr‰  v  so   € ô
 	�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aä
ÜÓ˜k¨A¨q¨6Ð2Ð3¸[ÐPTô€Cð ‡G�GˆAˆq…Mrf   c                  óÈ   — d„ } t        ddd¬«      \  }}t        t        d¬«      dg d¢id	| ¬
«      }|j                  ||«       |j                  dk(  sJ ‚t        |d«      rJ ‚y)z^
    Test refit=callable, which adds flexibility in identifying the
    "best" estimator.
    c                 ó  — t        ddd¬«      \  }}t        t        d¬«      dg d¢idd	¬
«      }|j                  ||«       |j                  dk7  sJ ‚|j
                  j                  «       D ]  }|| v rŒJ ‚ | d   j                  «       S )z–
        A dummy function tests `refit=callable` interface.
        Return the index of a model that has the least
        `mean_test_score`.
        rì   r±   é*   rD  rü   rÂ   ©ç{®Gáz„?r  r}   r2  Trˆ  r   Úmean_test_score)r   r*   rE   ro   r4  rØ   ÚkeysÚargmin)Ú
cv_resultsrm   rÁ   rÜ   Úkeys        rc   Úrefit_callablez+test_refit_callable.<locals>.refit_callableŠ  sš   € ô #¨S¸QÈRÔP‰ˆˆ1ÜÜ 2Ô&Ø’.Ð!ØØô	
ˆð 	�‰��1Œà�‰ !Ò#Ð#Ð#ð —?‘?×'Ñ'Ó)ò 	%ˆCØ˜*Ò$Ð$Ð$ð	%ð Ð+Ñ,×3Ñ3Ó5Ð5rf   rì   r±   rŒ  rD  rü   rÂ   r�  r2  rˆ  r   rq  N)r   r*   rE   ro   r4  rå   )r”  rm   rÁ   rÜ   s       rc   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*rf   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�   ©r’  s    rc   Úrefit_callable_invalid_typezEtest_refit_callable_invalid_type.<locals>.refit_callable_invalid_type·  s   € ð rf   rì   r±   rŒ  rD  rü   rÂ   r  r}   r2  rˆ  z&best_index_ returned is not an integerr¦   N)r   r*   rE   r¨   r©   r  ro   )r™  rm   rÁ   rÜ   s       rc   Ú test_refit_callable_invalid_typerš  ±  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�   )r’  rœ  s    €rc   Úrefit_callable_out_boundz?test_refit_callable_out_bound.<locals>.refit_callable_out_boundÑ  s   ø€ ð Ðrf   rì   r±   rŒ  rD  rü   rÂ   r  r}   r2  rˆ  zbest_index_ index out of ranger¦   N)r   rE   r¨   r©   rÆ   ro   )rœ  r�  r   rm   rÁ   rÜ   s   `     rc   Útest_refit_callable_out_boundr¡  É  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    rc   r”  z8test_refit_callable_multi_metric.<locals>.refit_callableè  s'   € ð   :Ñ-Ð-Ð-ØÐ*Ñ+×2Ñ2Ó4Ð4rf   rì   r±   rŒ  rD  r2  )ÚAccuracyr8  rü   rÂ   r�  rˆ  r   rq  N)r   r%   r"   r*   rE   ro   r4  rå   )r”  rm   rÁ   rÚ   rÜ   s        rc   Ú test_refit_callable_multi_metricr¦  ã  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*rf   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,  r¡   rí   r°   r™   i  é   é   c                 ó&   — | j                   dd  dk(  S )Nr}   )rí   r°   r™   rr   ©rÀ   s    rc   Úcheck_Xz#test_gridsearch_nd.<locals>.check_X  s   € Ø�w‰w�q�rˆ{˜iÑ'Ð'rf   c                 ó&   — | j                   dd  dk(  S )Nr}   )r©  rª  rr   r¬  s    rc   Úcheck_yz#test_gridsearch_nd.<locals>.check_y  s   € Ø�w‰w�q�rˆ{˜gÑ%Ð%rf   ro   )r­  r¯  Úmethods_to_checkra   r¯   rØ   )
ri   rò   ró   rM   r*   ro   r€   rm   rÁ   rå   )ÚX_4dÚy_3dr­  r¯  rÜ   rÝ   s         rc   Útest_gridsearch_ndr³     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˜$Ó×%Ñ%¤a¬Ô+Ü�; Ô.Ð.Ñ.rf   c                  ód  — t        j                  d«      j                  dd«      } t        j                  dgdz  dgdz  z   «      }t	        d„ dg¬«      }t        d	¬
«      }t        |dg d¢i|¬«      }|j                  | j                  «       |«      j                  | |«       t        |d«      sJ ‚y )Nrì   r¡   r   rí   r}   c                 ó"   — t        | t        «      S r_   ©rÄ   r›   r¬  s    rc   ú<lambda>z test_X_as_list.<locals>.<lambda>  ó   € œ* Q¬Ó-€ rf   ro   )r­  r°  r°   r  ra   r¯   râ   rØ   ©ri   rò   ró   rô   rM   r.   r*   ro   rr  r€   rå   ©rm   rÁ   rÜ   rÑ   rÝ   s        rc   Útest_X_as_listr»    s�   € ä
�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aä
Ù-Ø˜ô€Cô 
˜Ô	€BÜ˜s [²)Ð$<ÀÔD€KØ‡O�O�A—H‘H“J Ó"×(Ñ(¨¨AÔ.Ü�; Ô.Ð.Ñ.rf   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 )Nrì   r¡   r   rí   r}   c                 ó"   — t        | t        «      S r_   r¶  r¬  s    rc   r·  z test_y_as_list.<locals>.<lambda>*  r¸  rf   ro   )r¯  r°  r°   r  ra   r¯   râ   rØ   r¹  rº  s        rc   Útest_y_as_listr¾  $  s�   € ä
�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aä
Ù-Ø˜ô€Cô 
˜Ô	€BÜ˜s [²)Ð$<ÀÔD€KØ‡O�O�A�q—x‘x“zÓ"×(Ñ(¨¨AÔ.Ü�; Ô.Ð.Ñ.rf   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
        $ r Y ŒÓw xY w)Nr   )Ú	DataFrameÚSeriesrì   r¡   rí   r}   c                 ó   •— t        | ‰«      S r_   ©rÄ   )rÀ   ÚInputFeatureTypes    €rc   Úcheck_dfz#test_pandas_input.<locals>.check_dfD  s   ø€ Ü˜aÐ!1Ó2Ð2rf   c                 ó   •— t        | ‰«      S r_   rÃ  )rÀ   Ú
TargetTypes    €rc   Úcheck_seriesz'test_pandas_input.<locals>.check_seriesG  s   ø€ Ü˜a Ó,Ð,rf   )r­  r¯  ra   r¯   rØ   )rN   ÚpandasrÀ  rÁ  ÚappendÚImportErrorri   rò   ró   rô   rM   r*   ro   r€   ru   rå   )ÚtypesrÀ  rÁ  rm   rÁ   ÚX_dfÚy_serrÅ  rÈ  rÜ   rÝ   rÄ  rÇ  s              @@rc   Útest_pandas_inputrÏ  3  s  ù€ äœ]Ð+Ð,€Eðß,à�‰�i Ð(Ô)ô 	�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aà(-ò 3Ñ$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  rý   r   r}   )rý   ÚinitÚn_initÚadjusted_rand_scoreÚfowlkes_mallows_score)rÕ  rÖ  )r™   r°   r±   )Ú
n_clusters)rç   rÚ   r,  r×  r°   ©rç   rÚ   )rç   r±   )r   r   r*   Údictro   r  )rm   rÁ   ÚkmrÚ   r,  rÝ   s         rc   Útest_unsupervised_grid_searchrÛ  R  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6rf   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 )Nr  rŒ  r   ©Ú	bandwidth)Ú	estimatorrm   s     rc   Úcustom_scoringz2test_gridsearch_no_predict.<locals>.custom_scoringq  s   € Ø×(Ñ(¨CÒ/ˆrÐ6°QÐ6rf   r  r}   r   )Úcluster_stdrý   rÿ   r�  rÞ  rØ  rß  rŒ  )r   r*   r;   rÙ  ro   r  rq  )rá  rm   Ú_rX  s       rc   Útest_gridsearch_no_predicträ  n  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#rf   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 )NrK  Úlinearr   r}   )rL  rÂ   r¡   )Úparam_distributionsr£   rý   rL  )rK  ræ  rÂ   )r   r}   r™   r°   r±   rí   r·   r©  é   é	   r¡   r°   )r   r2   rh   )rç  ÚsamplerrÀ   ÚsamplesÚsamples        rc   Útest_param_samplerrí    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r_   ©rÄ   ri   ÚmaÚMaskedArray)r¼   Úparamr’  s     €rc   r¾   z/check_cv_results_array_types.<locals>.<genexpr>ž  s'   øè ø€ ÒXÀEŒz˜* UÑ+¬R¯U©U×->Ñ->×?ÑXùó   ƒ14c              3   ól   •K  — | ]+  }t        ‰|   t        j                  j                  «      –— Œ- y ­wr_   rð  ©r¼   r“  r’  s     €rc   r¾   z/check_cv_results_array_types.<locals>.<genexpr>¢  s&   øè ø€ ÒXÀc”:˜j¨™o¬r¯u©u×/@Ñ/@×AÑXùrô  c              3   ó€   •K  — | ]5  }|j                  d «      s"‰|   j                  t        j                  k(  –— Œ7 y­w)ÚrankN)Ú
startswithÚdtyperi   Úfloat64rö  s     €rc   r¾   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)
rØ   Úallrú  ÚkindÚanyÚmultimetric_Úscorer_r�  ri   Úint32)rX  Ú
param_keysÚ
score_keysÚexpected_cv_results_kindsr“  Úscorer_keysr’  s         @rc   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r_   rr   )r¼   r“  r’  Ún_cands     €€rc   r¾   z(check_cv_results_keys.<locals>.<genexpr>³  s"   øè ø€ ÒU°cˆz˜#‰×$Ñ$¨¨	Õ1ÑUùs   ƒ )rW   rº   r�  rü  )r’  r  r  r	  Ú
extra_keysÚall_keyss   `  `  rc   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Urf   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 )NrÑ  r±   rŒ  rD  r·   rK  r}   r¡   r  ©rL  rÂ   rM  Úpolyr™   ©rL  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)rÑ   rç   Úreturn_train_scorer  c              3   óL   •K  — | ]  }|d k7  sŒ	t        ‰|   dk\  «      –— Œ y­w)r  r   N©rü  ©r¼   Úkr’  s     €rc   r¾   z.test_grid_search_cv_results.<locals>.<genexpr>ã  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  r}   Nr(  r)  s     €rc   r¾   z.test_grid_search_cv_results.<locals>.<genexpr>ä  s6   øè ø€ ò àØ˜‰?˜qÐ$5Ò5ô 	ˆJ�q‰M˜QÑ×ñùs   ƒ$'rž   ÚfÚOr  r  r  r  )r   rÙ  r*   rD   ro   rØ   rü  r  r  rœ   Úmaskrh   )rm   rÁ   Ún_grid_pointsr†   r  r  Ún_candidatesrX  r  rž   Úpoly_resultsÚrbf_resultsr’  s               @rc   Útest_grid_search_cv_resultsr4  ¶  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 )NrÑ  r±   rŒ  rD  é   rK  r¡   )Úscaler  r  r  r™   r°   r  r  r  T)r£   rÑ   rç  r&  r-  rž   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/  ©r¼   rž   r’  s     €rc   r¾   z0test_random_search_cv_results.<locals>.<genexpr>A  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  rK  r  r  r  Nr9  r:  s     €rc   r¾   z0test_random_search_cv_results.<locals>.<genexpr>J  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   r3   rD   ro   rØ   r  r  rü  rœ   )
rm   rÁ   Ún_search_iterr†   r  r  r1  rX  r  r’  s
            @rc   Útest_random_search_cv_resultsr=    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 rf   zSearchCV, specialized_paramsrç   rÂ   )rç  r£   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   r}   r  FéP   )rÿ   rý   râ  Úshuffler  ©rú  r™   T)rà  rÑ   r&  úsplit%d_test_scorer�  r   zsplit%d_train_scorer  r!  r  gUUUUUUÕ?r�   )r   ri   rö   rs   ÚboolÚwhererD   ro   rô   rœ   Ú	n_splits_rØ   rS   r¨   Úapproxr]  Ústd)rê   Úspecialized_paramsrm   rÁ   r/  rÑ   Úcommon_paramsrX  ÚsÚtest_cv_scoresÚ	test_meanÚtest_stdÚtrain_cv_scoresÚ
train_meanÚ	train_stds                  rc   Útest_search_default_iidrQ  U  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$6Ñ7¸Ñ:€JØ×"Ñ"Ð#4Ñ5°aÑ8€Ià×Ñ˜iÑ(¨Ñ+¨qÒ0Ð0Ð0ä�N Q¨	 NÔ3Ü�O a¨ VÔ,àœŸ™¤b§g¡g¨nÓ&=Ó>Ò>Ð>Ð>Ø”v—}‘}¤R§V¡V¨NÓ%;Ó<Ò<Ð<Ð<ð œŸ™ qÓ)Ò)Ð)Ð)ØœŸ™ aÓ(Ò(Ð(Ñ(ùò9	
ùò	
s   Ã*I ÅI%c                  óH  — t        ddd¬«      \  } }d}t        dgddgd	dg¬
«      t        dgddg¬«      g}g }t        t        «      t        t        «      dœddfD ]=  }t        t        «       |||d¬«      }|j                  | |«       |j                  |«       Œ? t        |Ž  y )NrÑ  r±   rŒ  rD  r°   rK  r}   r¡   r  r  r  r™   r  ©r  r6  r  r6  F)rÑ   rç   rÚ   r,  )
r   rÙ  r%   r"   r'   r*   rD   ro   rÊ  Ú*compare_cv_results_multimetric_with_single)rm   rÁ   r  r†   Úgrid_searchesrÚ   rÝ   s          rc   Ú'test_grid_search_cv_results_multimetricrV  ”  sÌ   € Ü¨¸ÈÔK�D€A€qà€Häàðð �"ˆgØ˜�(ô	
ô 	àðð �q�6ô		
ð€Fð  €Mä ¤Ó0¼KÌÓ<UÑVØØðò 	*ˆô
 #Ü‹E�h¨6¸7È%ô
ˆð 	�‰˜˜1ÔØ×Ñ˜[Õ)ð	*ô /°Ò>rf   c                  óp  — t        ddd¬«      \  } }d}d}t        t        j                  ddd«      ¬	«      }d
D ]{  }g }dD ]W  }|rt	        |t
        «      rd}t        d¬«      }t        ||||||d¬«      }	|	j                  | |«       |j                  |	«       ŒY t        |Ž  t        |d   |d   |«       Œ} y )NrÑ  r±   rŒ  rD  r°   r6  éüÿÿÿr}   ©rÂ   ©TF)rS  r  r6  r  rü   r   )r£   rÑ   rç  rÚ   r,  rý   )r   rÙ  ri   ÚlogspacerÄ   r¹   r   r3   ro   rÊ  rT  Ú)compare_refit_methods_when_refit_with_acc)
rm   rÁ   r  r<  r†   r,  Úrandom_searchesrÚ   rÜ   r/  s
             rc   Ú)test_random_search_cv_results_multimetricr^  ·  sÕ   € Ü¨¸ÈÔK�D€A€qà€HØ€Mä”B—K‘K  A qÓ)Ô*€FØò 
ˆØˆØEò 	2ˆGáœ G¬UÔ3Ø"�Ü$°"Ô5ˆCÜ.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)
rf   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 searchrS  z_score$Ú	_accuracyÚ_recallc              3   óT   •K  — | ]  }t        j                  ‰|   d k  «      –— Œ! y­w)r}   N)ri   rü  )r¼   r*  Úcv_results_multis     €rc   r¾   z=compare_cv_results_multimetric_with_single.<locals>.<genexpr>é  s-   øè ø€ ò 	
àô �F‰FÐ# AÑ&¨!Ñ+×,ñ	
ùs   ƒ%()r$  r%  r"  r#  Ú_timeN)rÿ  rW   rº   r   rØ   r»   rV  ÚsubÚupdaterü  ri   ÚtestingÚassert_equalÚendswith)Úsearch_multiÚ
search_accÚ
search_recr*  ÚvÚcv_results_acc_recrc  s         @rc   rT  rT  ×  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 methodsr  Nrì   r±   rŒ  rD  )ru   r�   rŽ   )r4  rq  r  )r,  r   rU   r9  r€   )rj  rk  r,  rm   rÁ   Úmethodr“  s          rc   r\  r\  ý  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rf   Ú	max_depthrí   )rà  rç  ©rà  rç   c                 ó®  — t        ddd¬«      \  }}t        | «      } | 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)	Nrì   r±   rŒ  rD  r5  z"' has no attribute 'score_samples'z@'DecisionTreeClassifier' object has no attribute 'score_samples'r¦   )r   r   ro   Ú	__class__r‰   r¨   r©   r”   Úscore_samplesrÄ   r:  r;  r<  )r�  rm   rÁ   r>  r?  r@  s         rc   Ú"test_search_cv_score_samples_errorrv    s»   € ô  °ÀÔC�D€A€qÜ�iÓ €IØ‡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c                  óº  — d„ } t        | «      }t        ddd¬«      \  }}t        j                  |«      }t	        t        «       dddgi¬«      }|j                  | ¬	«       t        j                  t        d
¬«      5  |j                  |||¬«       ddd«       |j                  |¬	«       t        j                  t        d
¬«      5  |j                  |||¬«       ddd«       |j                  t        |d¬«      d¬«       t        j                  t        d¬«      5  |j                  |||¬«       ddd«       y# 1 sw Y   ŒªxY w# 1 sw Y   ŒlxY w# 1 sw Y   yxY w)zhChecks that fitting with sample_weight raises a warning if the scorer does not
    support sample_weightc                  ó   — y)z9Fake scoring function that does not support sample_weightrÃ   r�   )Úy_truer^  s     rc   Úfake_score_funcz>test_unsupported_sample_weight_scorer.<locals>.fake_score_func0  s   € àrf   r¡   r±   rŒ  rD  rÂ   r}   rr  r  zdoes not support sample_weightr¦   ©Úsample_weightNr  )Úfaker  Frˆ  z2The scoring fake=.* does not support sample_weight)r%   r   ri   Ú	ones_liker*   r   r‡   r¨   ÚwarnsÚUserWarningro   rÙ  )rz  Úfake_scorerrm   rÁ   Úswr�  s         rc   Ú%test_unsupported_sample_weight_scorerrƒ  ,  s>  € òô ˜oÓ.€Kä¨¸ÈÔK�D€A€qÜ	�‰�a‹€BÜÔ'9Ó';ÈÈqÐRTÈgÈÔW€Ià×Ñ ÐÔ1Ü	�‰”kÐ)IÔ	Jñ .Ø�‰�a˜¨"ˆÔ-÷.ð ×Ñ ÐÔ-Ü	�‰”kÐ)IÔ	Jñ .Ø�‰�a˜¨"ˆÔ-÷.ð ×ÑÜ˜+°
Ô;À5ð ô ô 
�‰ÜÐPô
ñ .ð 	�‰�a˜¨"ˆÔ-÷.ð .÷.ð .ú÷.ð .ú÷.ð .ús$   Á;D9ÃEÄEÄ9EÅEÅErà  )r}   r¡   rì   r*  )r}   r  rŽ  c                 ó"  — t        | «      }t        | «      }t        |d¬«       t        |d¬«       t        j                  j	                  d«      }d}d}d}||z  }|j                  ||dz  «      }|j                  d||¬«      }	|j                  dd	|¬«      }
t        j                  t        j                  |«      |«      }|}|	}|}t        t        «       j                  ||¬
«      «      }|j                  |¬«       |j                  |
d¬«      }|j                  |
¬«      }|j                  |
¬«      }t        t        «       j                  ||¬
«      «      }|j                  |¬«       t        ||«      }t        ||«      }|j                  ||d ¬«       |j                  |||
¬«       |j                   D �cg c]  }|j#                  d«      sŒ|‘Œ }}|D ]3  }|j                   |   }|j                   |   }|› d�}t%        |||¬«       Œ5 dD ]-  }t'        ||«      }t'        ||«      }|› d�}t)        |||¬«       Œ/ dD ]G  }t+        | |«      sŒ t'        ||«      |«      } t'        ||«      |«      }d|› d�}t-        |||¬«       ŒI y c c}w )Nr   rü   rŒ  r°   r6  r±   r™   )Úsizerí   r  râ   )ÚrepeatsÚaxis)r†  )rÁ   r|  r€   z4 values are not equal for weighted/repeated datasets©rù   )rq  r4  )r�   r�   ru   rx   zComparing the output of zn revealed that fitting with `sample_weight` is not equivalent to fitting with removed or repeated data points.)r   rX   ri   r   r!  Úrandr"  Útilerò   r›   r/   Úsplitr‡   ÚrepeatrY   ro   rØ   ri  rS   r9  rU   rå   rT   )rà  Úestimator_weightedÚestimator_repeatedr#  r  Ún_samples_per_groupÚn_groupsr  rm   rÁ   r‚  r  Ú
X_weightedÚ
y_weightedÚgroups_weightedÚsplits_weightedÚ
X_repeatedÚ
y_repeatedÚgroups_repeatedÚsplits_repeatedr“  r  Ús1Ús2rù   rp  s                             rc   Ú(test_search_cv_sample_weight_equivalencer›  L  sÍ  € ô ˜yÓ)ÐÜ˜yÓ)ÐÜÐ'°aÕ8ÜÐ'°aÕ8ä
�)‰)×
Ñ
 Ó
#€CØ€IØÐØ€HØÐ.Ñ.€IØ�‰�˜I¨™MÓ*€AØ�‰�A�y yˆÓ1€AØ	�‰�Q˜ 	ˆÓ	*€Bô �W‰W”R—Y‘Y˜xÓ(Ð*=Ó>€Fà€JØ€JØ€OÜÔ+Ó-×3Ñ3°JÀÐ3ÓWÓX€OØ×!Ñ! _Ð!Ô5à×"Ñ"¨2°AÐ"Ó6€JØ×"Ñ"¨2Ð"Ó.€JØ%×,Ñ,°RÐ,Ó8€OÜÔ+Ó-×3Ñ3°JÀÐ3ÓWÓX€OØ×!Ñ! _Ð!Ô5ä*Ð+=¸zÓJ€JÜ*Ð+=¸zÓJ€Jà×Ñ˜:¨À4ÐÔHØ×Ñ˜:¨À2ÐÔFð
 *×5Ñ5öØ¸¿¹ÀgÕ9NŠð€Jð ð ò 1ˆØ×+Ñ+¨CÑ0ˆØ×+Ñ+¨CÑ0ˆØ�EÐMÐNˆÜ˜˜B¨Ö0ð	1ð .ò 5ˆÜÐ'¨Ó-ˆÜÐ'¨Ó-ˆØ�EÐMÐNˆÜ˜B ¨GÖ4ð	5ð Qò 	BˆÜ�9˜fÕ%Ø4”Ð+¨VÓ4°QÓ7ˆBØ4”Ð+¨VÓ4°QÓ7ˆBà*¨6¨(ð 3+ð +ð ô
 )¨¨R¸ÖAñ	Bùòs   Æ8JÇJT)ÚnoveltyÚn_neighborsr2  )rà  rç  rÚ   )rà  rç   rÚ   c           	      óÜ  — t        | «      } 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 )NrŒ  r¨  g333333Ã?r™   r   rÃ   )r  rE  rÿ   râ  rý   iúÿÿÿr·   )ÚlowÚhighr…  ©r‡  r}   r—   )r   ri   r   r!  Úintr   Úconcatenater   rô   ro   rS   ru  r×   )r�  r#  r  Úoutliers_fractionÚ
n_outliersÚ	n_inliersrm   ry  s           rc   Ú#test_search_cv_score_samples_methodr§  –  s  € ô  �iÓ €Iä
�)‰)×
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rf   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 )NrÑ  rŒ  rÒ  rÂ   )r}   gj¼t“ð?çü©ñÒMbP?T)rç   r&  r°   )r£   rç  r&  r�  r   r}   r  r™   r  )r}   r}   r°   )	r   r*   rD   r3   ro   rØ   rU   ri   Úallclose)rm   rÁ   rç   rÝ   r/  rX  r’  s          rc   Ú(test_search_cv_results_rank_tie_breakingr«  Ç  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rf   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 )Nr}   r™   r°   r±   rí   )r   r   r   r   r}   rý   r   râ   Úparam_random_state)rJ   rI   r.   r*   ro   rW   rØ   )rm   rÁ   Ú
estimatorsÚest_parametersrÑ   ÚestrÝ   s          rc   Ú!test_search_cv_results_none_paramr±  é  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rf   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   rü   r}   r™   r°   r±   )r   r}   r}   r   rÂ   rð   )rÑ   rñ   r£   )r"  r#  )r$  r%  r   Úrefit_time_)rE   r*   r3   ro   ri   rü  rØ   rå   rÄ   r³  Úfloat)Úsvcrm   rÁ   r&  ÚrsrX  r“  s          rc   Útest_search_cv_timingr·  ø  s•  € ä
 Ô
#€Cð ð	
ð ð	
ð ð	
ð ð	
ð	€Aò 	€Aä	�c˜C ! Q ˜=¨Q¸AÔ	>€BÜ	˜C #¨¨1 v °1À!ÈAÔ	N€Bà�r�(ó 'ˆØ�
‰
�1�aÔØ4ò 	7ˆCô —6‘6˜&×,Ñ,¨SÑ1°QÑ6Ô7Ð7Ð7Ü—6‘6˜&×,Ñ,¨SÑ1°AÑ5Õ6Ð6Ð6ð		7ð 9ò 	7ˆCØ×%Ñ% cÑ*¨1Ñ-°Ò2Ð2Ð2Ø×%Ñ% cÑ*¨1Ñ-°Ò4Ð4Ð4Ü—6‘6˜&×,Ñ,¨SÑ1°AÑ5Õ6Ð6Ð6ð	7ô
 �v˜}Ô-Ð-Ð-Ü˜&×,Ñ,¬eÔ4Ð4Ð4Ø×!Ñ! QÔ&Ð&Ð&ñ'rf   c            
      óž  — d} t        d¬«      }t        dd¬«      \  }}g d¢}dD �]   }t        |d|i|| ¬	«      }|j                  ||«      j                  }t        |j                  «       «      }d
t        d„ t        | «      D «       «      z   }	t        t        j                  |	|«      «      sJ ‚t        | ¬«      }
|j                  } t        |«      D ]ò  \  }}|j                  |¬«       t        j                   t        | «      D �cg c]  }|j                  d|z     |   ‘Œ c}«      }t        |
j#                  ||«      «      D ]~  \  }\  }}|j                  ||   ||   «       |dk(  r"t%        ||   |j'                  ||   «      «      }n(|dk(  r#|j)                  ||   «      }t+        ||   |«      }t-        ||   «       Œ€ Œô �Œ£ y c c}w )Nr°   r   rü   r™   rþ   r   )rc  r  rÂ   )rÚ   rÑ   )r�  r  c              3   ó&   K  — | ]	  }d |z  –— Œ y­w)rB  Nr�   )r¼   Úcv_is     rc   r¾   z9test_grid_search_correct_score_results.<locals>.<genexpr>-  s   è ø€ ò G
Ø,0Ð  4Õ'ñG
ùs   ‚r  rY  rB  rc  r  )rE   r   r*   ro   rØ   r›   r�  r¹   rœ   rü  ri   Úisinr4   rE  Ú	enumerater‡   rô   r‹  r$   ru   r�   r(   rU   )r  rÜ   rm   rÁ   r  r€   rÝ   r’  Úresult_keysÚexpected_keysrÑ   Úcandidate_irÂ   rJ  Ú	cv_scoresrž   ÚtrainÚtestÚcorrect_scoreÚdecs                       rc   Ú&test_grid_search_correct_score_resultsrÅ  !  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 )Nra   r¯   Tr™   r3  r°   )r,  r£   rÑ   )r]   r*   ro   rm   rÁ   ÚpickleÚloadsÚdumpsrV   ru   r3   )rÜ   rÝ   Úgrid_search_pickledr/  Úrandom_search_pickleds        rc   Útest_picklerÌ  F  sÏ   € ä
Ó
€CÜ˜s [²)Ð$<ÀDÈQÔO€KØ‡O�O”A”qÔÜ Ÿ,™,¤v§|¡|°KÓ'@ÓAÐÜ˜k×1Ñ1´!Ó4Ð6I×6QÑ6QÔRSÓ6TÔUä&Øˆkš9Ð%¨T¸!Àô€Mð ×Ñ”aœÔÜ"ŸL™L¬¯©°mÓ)DÓEÐÜØ×ÑœaÓ Ð"7×"?Ñ"?ÄÓ"Bõrf   c            	      óÚ  — t        dd¬«      \  } }dg d¢i}t        «       }t        d¬«      t        d¬«      g}|D ]Ô  }t	        |||¬«      }|j                  | |«       |j                  d   }t        t        |«      «      D ]Œ  } |j                  di ||   ¤Ž t        |j                  | |«      «      D ]W  \  }	\  }
}|j                  | |
   ||
   «       |j                  | |   ||   «      }t        ||j                  d	|	z     |   «       ŒY ŒŽ ŒÖ |D ]Õ  }t        |||d
¬«      }|j                  | |«       |j                  d   }t        t        |«      «      D ]Œ  } |j                  di ||   ¤Ž t        |j                  | |«      «      D ]W  \  }	\  }
}|j                  | |
   ||
   «       |j                  | |   ||   «      }t        ||j                  d	|	z     |   «       ŒY ŒŽ Œ× y )NTr   )Úreturn_indicatorrý   rq  )r}   r™   r°   r±   rü   râ   r†   rB  r°   )rÑ   r£   r�   )r   r.   rJ   rI   r*   ro   rØ   rœ   rh   r‡   r¼  r‹  r€   rU   r3   )rm   rÁ   r¯  rÑ   r®  r°  rÝ   Ú
res_paramsÚcand_irž   rÁ  rÂ  rÃ  r/  s                 rc   Ú&test_grid_search_with_multioutput_datarÑ  X  s
  € ô *¸4ÈaÔP�D€A€qà!¢<Ð0€NÜ	‹€Bô 	¨1Ô-Ü¨AÔ.ð€Jð ò ˆÜ" 3¨¸2Ô>ˆØ�‰˜˜1ÔØ ×,Ñ,¨XÑ6ˆ
ÜœC 
›OÓ,ò 		ˆFØˆC�N‰NÑ0˜Z¨Ñ/Ò0ä$-¨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$=ò Ñ �‘=�E˜4Ø—‘˜˜%™ ! E¡(Ô+Ø #§	¡	¨!¨D©'°1°T±7Ó ;�Ü#Ø!Ø!×-Ñ-Ð.BÀQÑ.FÑGÈÑOõññ		ñ	rf   c                  óÆ   — t        j                  d«      j                  dd«      } g d¢}t        d¬«      }t	        |i d¬«      j                  | |«      }t        |d	«      rJ ‚y )
Nry  rí   r—   ©r   r   r}   r}   r}   F)Úprobabilityr™   râ   r�   )ri   rò   ró   rD   r*   ro   rå   ©rm   rÁ   rÜ   r&  s       rc   Útest_predict_proba_disabledrÖ  †  sY   € ä
�	‰	�"‹×Ñ˜a Ó$€AÚ€AÜ
˜%Ô
 €CÜ	�c˜2 !Ô	$×	(Ñ	(¨¨AÓ	.€BÜ�r˜?Ô+Ð+Ð+Ð+rf   c                  óL  — t        j                  dt         j                  ¬«      j                  dd«      } t         j                  | dd d …f<   g d¢}t        dt        dt         j                  ¬	«      fd
t        «       fg«      }t        |dg d¢id¬«      j                  | |«       y )Nry  rA  rí   r—   r™   rÓ  Úimputerr]  )ÚstrategyÚmissing_valuesÚ
classifierÚclassifier__foo_paramr¯   râ   )
ri   rò   rû  ró   Únanr>   r   r]   r*   ro   )rm   rÁ   r½   s      rc   Útest_grid_search_allows_nansrÞ  �  s‡   € ä
�	‰	�"œBŸJ™JÔ'×/Ñ/°°2Ó6€AÜ�f‰f€A€aŠ€d�GÚ€AÜàœ¨vÄbÇfÁfÔMÐNØœ>Ó+Ð,ð	
ó	€Aô �Ð,ªiÐ8¸QÔ?×CÑCÀAÀqÕIrf   c                   ó2   — e Zd ZdZdZdd„Zdd„Zd„ Zd	d„Zy)
ÚFailingClassifierz,Classifier that raises a ValueError on fit()r™   Nc                 ó   — || _         y r_   r~  r€  s     rc   rd   zFailingClassifier.__init__¢  re   rf   c                 óT   — | j                   t        j                  k(  rt        d«      ‚y )Nz%Failing classifier failed as required)r  rà  ÚFAILING_PARAMETERrÛ   rƒ  s      rc   ro   zFailingClassifier.fit¥  s'   € Ø�>‰>Ô.×@Ñ@Ò@ÜÐDÓEÐEð Arf   c                 óF   — t        j                  |j                  d   «      S rq   r…  rw   s     rc   ru   zFailingClassifier.predict©  r†  rf   c                  ó   — y)Nr   r�   rl   s      rc   r€   zFailingClassifier.score¬  s   € Ørf   r_   rˆ   )	r‰   rŠ   r‹   rŒ   rã  rd   ro   ru   r€   r�   rf   rc   rà  rà  �  s    „ Ù6àÐó#óFò$ôrf   rà  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)Nry  r¡   r   rD  r  ©r   r}   r™   r  Fr   ©rÚ   r,  rñ   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 )NrB  )ri   rô   rœ   rE  rØ   )rž   rJ  r&  s     €rc   Úget_cand_scoresz<test_grid_search_failing_classifier.<locals>.get_cand_scoresÒ  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_parameterr   N)rØ   rà  rã  ri   rü  ©r¼   rÐ  rì  r&  s     €€rc   r¾   z6test_grid_search_failing_classifier.<locals>.<genexpr>Ø  sL   øè ø€ ò 	
àØ�~‰~Ð/Ñ0°Ñ8Ü ×2Ñ2ò3ô �F‰F‘? 6Ó*¨cÑ1×2ñ	
ùs   ƒAArÝ  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)rî  N)rØ   rà  rã  ri   rü  Úisnanrï  s     €€rc   r¾   z6test_grid_search_failing_classifier.<locals>.<genexpr>ñ  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™   r}   r°   )r   rà  r*   rV  ÚcompileÚDOTALLr¨   r  r   ro   rh   rØ   rü  rœ   r´  rã  r4  )rm   rÁ   rÜ   Úwarning_messager1  Úranksrì  r&  s         @@rc   Ú#test_grid_search_failing_classifierrö  °  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)Nry  r¡   r   rD  r  r°   r   ©rñ   zrAll the 15 fits failed.+15 fits failed with the following error.+ValueError.+Failing classifier failed as requiredré  r¦   ©r   rà  r*   rã  rV  rò  ró  r¨   r©   rÛ   ro   )rm   rÁ   rÜ   r&  rô  s        rc   Ú)test_grid_search_classifier_all_fits_failrú    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$c                  óä   — t        ddd¬«      \  } }t        «       }t        |dg d¢igddd	¬
«      }t        j                  t
        «      5  |j                  | |«       d d d «       y # 1 sw Y   y xY w)Nry  r¡   r   rD  r  rç  r  Frï   rè  )r   rà  r*   r¨   r©   rÛ   ro   rÕ  s       rc   Ú)test_grid_search_failing_classifier_raiserü    sq   € ô ¨¸ÈÔK�D€A€qä
Ó
€Cô 
ØØ
’yÐ	!Ð"ØØØô
€Bô 
�‰”zÓ	"ñ Ø
�‰ˆq�!Œ÷÷ ñ ús   Á
A&Á&A/c                  óú  — ddgg d¢dœdddgig} t        | d¬	«      }d}d
}d|||fz  }t        j                  t        |¬«      5  t	        |«       d d d «       t        | d
¬	«      }t	        |«      }t        |«      d
k(  sJ ‚t        | «      D ]  }||v rŒJ ‚ t        t        | d¬	«      «      d
k(  sJ ‚t        d«      t        d«      t        d«      dœ} t        | dd¬«      }t	        |«      }t        |«      dk(  sJ ‚|D �cg c]  }d|d   |d   |d   fz  ‘Œ }}t        t        |«      «      dk(  sJ ‚t        d«      g d¢dœ}	t        |	d¬	«      }t	        |«      }t        |«      dk(  sJ ‚y # 1 sw Y   �ŒxY wc c}w )Nr   r}   )ÚaÚbÚc)ÚfirstÚsecondÚthirdÚtwoÚvaluesré  r¢   rè  z}The total space of parameters %d is smaller than n_iter=%d. Running %d iterations. For exhaustive searches, use GridSearchCV.r¦   éè  r¡   éc   rŒ  )r£   rý   z	a%db%dc%drþ  rÿ  r   rÃ   r©  )
r2   r¨   r  r€  r›   rh   r1   rœ   rÅ   r
   )
r†   rê  r£   Ú	grid_sizeÚexpected_warningrë  r  r½   Úhashable_samplesÚparams_distributions
             rc   Ú#test_parameters_sampler_replacementr  ,  s¯  € ð �a�&¢OÑ4Ø	�5˜(Ð#Ð$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$Ó%¨Ò+Ð+Ð+ô %.¨c£NºoÑNÐÜÐ2¸1Ô=€GÜ�7‹m€GÜˆw‹<˜1ÒÐÑ÷/ñ üò  Qs   ÁE+Ã?E8Å+E5c                  óª  — ddgi} t        j                  d«      j                  dd«      }g d¢}t        t	        d¬«      | d	¬
«      }t        |d«      rJ ‚|j                  ||«       |j                  |«       |j                  |«       ddgi} t        t	        d¬«      | d	¬
«      }t        |d«      rJ ‚|j                  ||«       t        |d«      rJ ‚y )NÚlossÚlog_lossé   r·   r—   ©r   r   r   r}   r}   r}   Úhinge)r  r°   ©rà  rç   rÑ   r�   )	ri   rò   ró   r*   r!   rå   ro   r�   rŽ   )rç   rm   rÁ   rÜ   s       rc   Ú#test_stochastic_gradient_loss_paramr  T  sÞ   € ð 	��ð€Jô 	�	‰	�"‹×Ñ˜a Ó$€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,rf   c                  ó¶   — t        j                  d«      j                  dd«      } g d¢}t        d¬«      }t	        |dddgid	¬
«      }|j                  | |«       y )Nr·   r—   r  r   rü   rÂ   r  r  r°   )rç   rÑ   )ri   rò   ró   rE   r*   ro   rÕ  s       rc   Ú%test_search_train_scores_set_to_falser  t  sO   € Ü
�	‰	�!‹×Ñ˜Q Ó#€AÚ€AÜ
 Ô
#€Cä	�c s¨S°#¨JÐ&7¸AÔ	>€BØ‡F�Fˆ1ˆa…Lrf   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 )Nrì   rí   r   rÒ  rü   rÂ   )r  r  g333333Ó?)r  r  T)rç   rÑ   r&  r  )r  r@  rý   c                 ó6   — dD ]  }| j                  |«       Œ | S )N)r"  r#  r$  r%  )Úpop)r’  r“  s     rc   Ú_pop_time_keysz>test_grid_search_cv_splits_consistency.<locals>._pop_time_keys¨  s)   € ð
ò 	 ˆCð �N‰N˜3Õð	 ð Ðrf   rd  )r  r  r  r  )r  r@  )rÁ  rÂ  r±   zsplit%d_%s_scorer}   r™   r°   )r   r*   rE   r9   ro   r.   rÄ   r‹  r	   ri   rg  rh  rØ   r»   ri  rœ   rV   )r  r  rm   rÁ   r&  Úgs2Úgs3Úgs4r  r*  rm  Ú
score_typeÚper_param_scoresÚparam_irJ  s                  rc   Ú&test_grid_search_cv_splits_consistencyr!  }  s²  € à€IØ€HÜ¨ÀÔC�D€A€qä	Ü˜qÔ!ØšÐ)Ü H¸	ÔBØô	
€Bð ‡F�Fˆ1ˆa„Lä
Ü˜qÔ!ØšÐ)Ü˜(Ô#Øô	€Cð ‡G�GˆAˆq„Mô Ü�x¨¸AÔ>×DÑDÀQÈÓJÜôð ð ô Ü˜qÔ!ØšÐ)Ü˜(¨D¸qÔA×GÑGÈÈ1ÓMØô	€Cð ‡G�GˆAˆq„Mä
Ü˜qÔ!ØšÐ)Ü˜(¨D¸qÔAØô	€Cð ‡G�GˆAˆq„Mòô ‡J�J×ÑÙ�s—‘Ó'©¸¿¹Ó)Hôô ‡J�J×ÑØŸ.™.×.Ñ.Ó0×L‘$�!�Q¸¿
¹
À7Õ8KˆˆA‰ÓLØŸ/™/×/Ñ/Ó1×M‘$�!�Q¸¿¹ÀGÕ9LˆˆA‰ÓMôô 
Ü˜qÔ!ØÒ-Ð.Ü˜(¨DÔ1Øô	
€Bð ‡F�Fˆ1ˆa„Lð (ò 	Lˆ
ØÐÜ˜Q“xò 	ˆGô ˜q›ö)àð —‘Ð1°Q¸
°OÑCÑDÀWÓMò)Ð˜WÒ%ð	ô 	"Ð"2°1Ñ"5Ð7GÈÑ7JÔKÜ!Ð"2°1Ñ"5Ð7GÈÑ7JÕKñ	Lùó# 	MùÛMùò&)s   Æ5K
ÇK
Ç4K
ÈK
É7Kc                  óÚ   — t        «       } t        | dg d¢idd¬«      }|j                  t        t        «       |j                  |j                  t        «      «      }t        t        |«       y )Nra   r¯   r™   r°   rÐ   )r]   r*   ro   rm   rÁ   r{   rx   rW   )rÜ   rÝ   ÚX_round_trips      rc   Ú+test_transform_inverse_transform_round_tripr$  Ü  sR   € Ü
Ó
€CÜ˜s [²)Ð$<ÀÈAÔN€Kà‡O�O”A”qÔØ×0Ñ0°×1FÑ1FÄqÓ1IÓJ€LÜ”q˜,Õ'rf   c                  ó¬  ‡‡‡‡‡	— d„ Šˆˆˆ	fd„Š G ˆˆfd„dt         «      } t        d¬«      Št        ddd¬	«      \  ŠŠ	 | ‰d
¬«      j                  ‰‰	«      } ‰dddgidddgig«      }|j                  } ‰||«       t        |«      D ]G  }|d   j                  «       sŒ|dd  dk(  sŒ |dvsŒ%t        ||«      t        ||«      k(  rŒ?J d|z  «       ‚ y )Nc                 óh  — |j                   }t        | j                  «       «      t        |«      k(  sJ ‚| D ]z  }|j                  d«      rŒt	        j
                  | |   «      | |<   | |   j                  j                  dk(  rt        ||   | |   d|z   ¬«       Œdt        ||   | |   d|z   ¬«       Œ| y )Nrd  r.  z	Checking rˆ  )
rØ   rº   r�  ri  ri   Ú
asanyarrayrú  rý  rW   rS   )ÚresultsÚgscvÚexp_resultsr*  s       rc   Úcheck_resultsz-test_custom_run_search.<locals>.check_resultsæ  s¬   € Ø×&Ñ&ˆÜ�g—l‘l“nÓ%¬°Ó)<Ò<Ð<Ð<Øò 		YˆAØ—:‘:˜gÕ&äŸ]™]¨7°1©:Ó6�˜‘
Ø˜1‘:×#Ñ#×(Ñ(¨CÒ/Ü&Ø# A™¨°©
¸KÈ!¹Oöô $ K°¡N°G¸A±JÈÐVWÉÖXñ		Yrf   c                 ó@   •— t        ‰| d¬«      j                  ‰‰«      S )NT©r&  )r*   ro   )rç   rm   rÜ   rÁ   s    €€€rc   Úfit_gridz(test_custom_run_search.<locals>.fit_gridô  s   ø€ Ü˜C ÀÔE×IÑIÈ!ÈQÓOÐOrf   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 r_   ©Úsuperrd   ©rb   rà  Úkwargsrt  s      €rc   rd   z7test_custom_run_search.<locals>.CustomSearchCV.__init__ø  ó   ø€ Ü‰GÑ˜YÑ1¨&Ó1rf   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 )Nrq  r}   r™   Úmin_samples_splitrí   r¡   r�   )rb   Úevaluater(  r+  r.  s      €€rc   Ú_run_searchz:test_custom_run_search.<locals>.CustomSearchCV._run_searchû  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rf   )r‰   rŠ   r‹   rd   r:  Ú__classcell__)rt  r+  r.  s   @€€rc   ÚCustomSearchCVr0  ÷  s   ù„ ô	2÷	ñ 	rf   r<  r   rü   rì   r±   )r  Ún_informativerý   Tr-  rq  r}   r™   r8  rí   r¡   r—   rã  >   r   rk   rØ   r³  r×   zAttribute %s not equal)r7   rJ   r   ro   rØ   ÚdirÚislowerr9  )
r<  Úmycvr)  r(  Úattrrm   r+  rÜ   r.  rÁ   s
        @@@@@rc   Útest_custom_run_searchrB  å  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rf   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 r_   r2  r4  s      €rc   rd   zDtest__custom_fit_no_run_search.<locals>.NoRunSearchSearchCV.__init__   r6  rf   c                 ó   — | S r_   r�   )rb   rm   rÁ   r  Ú
fit_paramss        rc   ro   z?test__custom_fit_no_run_search.<locals>.NoRunSearchSearchCV.fit#  s   € ØˆKrf   rˆ   )r‰   rŠ   r‹   rd   ro   r;  ©rt  s   @rc   ÚNoRunSearchSearchCVrE    s   ø„ ô	2÷	rf   rJ  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 r_   r2  r4  s      €rc   rd   z<test__custom_fit_no_run_search.<locals>.BadSearchCV.__init__*  r6  rf   )r‰   rŠ   r‹   rd   r;  rI  s   @rc   ÚBadSearchCVrL  )  s   ø„ ÷	2ð 	2rf   rN  z_run_search not implemented.r¦   )r7   rD   ro   rm   rÁ   r¨   r©   ÚNotImplementedError)rJ  rN  s     rc   Útest__custom_fit_no_run_searchrP    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  rì   r*  ©r©  rŽ  r  r±   ©rÑ   Ún_jobszNNo fits were performed. Was the CV iterator empty\? Were there no candidates\?r¦   )
r.   r‹  rm   r3   r    r¨   r©   rÛ   ro   rÁ   )rÑ   ÚuÚ
train_sizeÚridges       rc   Útest_empty_cv_iterator_errorrX  4  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)Nr}   r�   )rb   ÚargsÚkws      rc   Úget_n_splitsz;test_random_search_bad_cv.<locals>.BrokenKFold.get_n_splitsT  s   € Ørf   N)r‰   rŠ   r‹   r_  r�   rf   rc   ÚBrokenKFoldr[  S  s   „ ó	rf   r`  r°   r  rì   r*  rR  r±   rS  zXcv.split and cv.get_n_splits returned inconsistent results. Expected \d+ splits, got \d+r¦   )	r.   r3   r    r¨   r©   rÛ   ro   rm   rÁ   )r`  rÑ   rV  rW  s       rc   Útest_random_search_bad_cvra  P  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°   rí   rè  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  rý   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 rq   )Ún_countsr•   s    rc   rd   zQtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorer.__init__€  s	   € ØˆD�Mrf   c                 ór   — | xj                   dz  c_         | j                   dz  dk(  rt        j                  S y)Nr}   rí   r   )rf  ri   rÝ  )rb   rà  rm   rÁ   s       rc   Ú__call__zQtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorer.__call__ƒ  s-   € Ø�MŠM˜QÑ�MØ�}‰}˜qÑ  AÒ%Ü—v‘v�Ørf   N)r‰   rŠ   r‹   rŒ   rd   rh  r�   rf   rc   ÚFailingScorerrd  }  s   „ Ù?ò	ó	rf   ri  r°   )rÚ   rÑ   r&  rÂ  rÁ  zOne or more of the z scores are non-finiter  r�  )r   rI   r¨   r  r€  ro   rh   Úzipr<  ÚmessagerØ   Úmaxri   rñ  rW   rü  )rê   rH  r&  rm   rÁ   ri  r�   Úwarn_msgÚset_with_warningÚmsgÚdatasetÚ	last_rankÚnon_finite_masks                rc   Ú1test_searchcv_raise_warning_with_non_finite_scorers  i  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   r}   )r}   r   ©r}   r}   ©ÚtnÚfpÚfnÚtp)ru   r#   )rÜ   rm   rÁ   r^  Úcms        rc   Úcustom_scorerzAtest_callable_multimetric_confusion_matrix.<locals>.custom_scorer¤  s:   € Ø—‘˜Q“ˆÜ˜a Ó(ˆØ˜‘h b¨¡h°b¸±hÀbÈÁhÑOÐOrf   é(   r±   rŒ  rD  rü   rÂ   r  r}   rz  rˆ  rx  zmean_test_{}rv  )r   rE   r*   ro   ÚformatrØ   ru   r#   r€   r¨   rF  )	r~  rm   rÁ   r°  rX  Úscore_namesÚnamer^  r}  s	            rc   Ú*test_callable_multimetric_confusion_matrixrƒ  ¡  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8rf   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)r6  r  )ru   r'   r"   ©r°  rm   rÁ   r^  s       rc   r~  zHtest_callable_multimetric_same_as_list_of_strings.<locals>.custom_scorerº  s-   € Ø—‘˜Q“ˆä" 1 fÓ-Ü& q¨&Ó1ñ
ð 	
rf   r  r±   rŒ  rD  rü   rÂ   r  r}   r6  rˆ  r  ©	r   rE   r*   ro   rq  r¨   rF  r4  r€   )r~  rm   rÁ   r°  Úsearch_callableÚ
search_strs         rc   Ú1test_callable_multimetric_same_as_list_of_stringsrŠ  ¸  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Orf   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 r_   )ru   r'   r†  s       rc   r~  zHtest_callable_single_metric_same_as_single_string.<locals>.custom_scorerÔ  s   € Ø—‘˜Q“ˆÜ˜A˜vÓ&Ð&rf   r  r±   rŒ  rD  rü   rÂ   r  r}   Trˆ  r6  r‡  )r~  rm   rÁ   r°  rˆ  r‰  Úsearch_list_strs          rc   Ú1test_callable_single_metric_same_as_single_stringrŽ  Ò  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Orf   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_namer}   r�   ©r°  rm   rÁ   s      rc   Ú
bad_scorerzBtest_callable_multimetric_error_on_invalid_key.<locals>.bad_scorerð  s   € Ø˜AˆÐrf   r  r±   rŒ  rD  rü   rÂ   r  r}   Ú	good_namerˆ  z`For multi-metric scoring, the parameter refit must be set to a scorer key or a callable to refitr¦   )r   r*   rE   r¨   r©   rÛ   ro   )r“  rm   rÁ   rÜ   ro  s        rc   Ú.test_callable_multimetric_error_on_invalid_keyr•  î  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 ©Nr7  r}   r�   r’  s      rc   r~  zBtest_callable_multimetric_error_failing_clf.<locals>.custom_scorer	  ó   € Ø�qˆzÐrf   ry  r¡   r   rD  r  rç  Fr  rè  zm5 fits failed.+total of 15.+The score on these train-test partitions for these parameters will be set to 0\.1ré  r¦   Úmean_test_acc)r}   r}   r  )r   rà  r*   rV  rò  ró  r¨   r  r   ro   rS   rØ   )r~  rm   rÁ   rÜ   r&  rô  s         rc   Ú+test_callable_multimetric_error_failing_clfr›  	  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 r˜  r�   r’  s      rc   r~  zBtest_callable_multimetric_clf_all_fits_fail.<locals>.custom_scorer!	  r™  rf   ry  r¡   r   rD  r  r°   Fr  rè  z1ValueError: Failing classifier failed as requiredz5All the 15 fits failed.+your model is misconfigured.+ré  r¦   rù  )r~  rm   rÁ   rÜ   r&  Úindividual_fit_error_messager¬   s          rc   Ú+test_callable_multimetric_clf_all_fits_failrŸ  	  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±   ©rE  Úmax_iterr°   r}   r¢   Ún_features_in_)r   r   r*   r3   rå   ro   r£  )rE  rm   rÁ   Úgbdtrç   r&  r¶  s          rc   Útest_n_features_inr¥  =	  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*rf   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 r_   )r3  Ú__sklearn_tags__Ú
input_tagsr¦  )rb   Útagsrt  r¦  s     €€rc   r«  zdtest_search_cv_pairwise_property_delegated_to_base_estimator.<locals>.TestEstimator.__sklearn_tags__Y	  s!   ø€ Ü‘7Ñ+Ó-ˆDØ'/ˆD�O‰OÔ$ØˆKrf   )r‰   rŠ   r‹   r«  r;  )rt  r¦  s   @€rc   ÚTestEstimatorr©  X	  s   ù„ ÷	ñ 	rf   r®  z.BaseSearchCV pairwise tag must match estimatorr�  r¡   N)r   r*   r«  r¬  r¦  )r¦  r®  r°  Úattr_messagerÑ   s   `    rc   Ú<test_search_cv_pairwise_property_delegated_to_base_estimatorr°  N	  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@rf   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 r_   ©r¦  )rb   r¦  s     rc   rd   zatest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwise.__init__n	  s	   € Ø$ˆD�Mrf   c                 óZ   •— t         ‰| �  «       }| j                  |j                  _        |S r_   )r3  r«  r¦  r¬  )rb   r­  rt  s     €rc   r«  zitest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwise.__sklearn_tags__q	  s%   ø€ Ü‘7Ñ+Ó-ˆDØ'+§}¡}ˆD�O‰OÔ$ØˆKrf   )T)r‰   rŠ   r‹   rd   r«  r;  rI  s   @rc   ÚEstimatorPairwiser³  m	  s   ø„ ó	%÷	ð 	rf   r·  z4BaseSearchCV _pairwise property must match estimatorrZ  rµ  r�  r¡   N)r   r‡   r*   r«  r¬  r¦  )r·  r°  r¯  Ú_pairwise_settingrÑ   s        rc   Ú=test_search_cv__pairwise_property_delegated_to_base_estimatorr¹  d	  s|   € ôœMô ñ Ó
€CØI€Là*ò 
ÐØ�‰Ð 1ˆÔ2Ü˜# °¨tÐ4Ó5ˆØ  B×$7Ñ$7Ó$9×$DÑ$D×$MÑ$MÓMð 	
Øó	
ÐMñ
rf   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.
    rÑ  r™   r   rÒ  r�  r¡   râ   rn  )Úmetricz2GridSearchCV not identical with precomputed metricN)r   r<   r*   ro   ru   r)   rü  )r  r  rm   rÁ   Úgrid_paramsrÜ   rÑ   Úpreds_originalÚX_precomputedÚpreds_precomputedr¯  s              rc   Ú;test_search_cv_pairwise_property_equivalence_of_precomputedrÀ  �	  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6rf   zSearchCV, param_searchrþ  r  rŽ  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 r_   )rþ  )rb   rþ  s     rc   rd   z5test_scalar_fit_param.<locals>.TestEstimator.__init__¨	  s	   € ØˆD�Frf   c                 ó   — || _         y r_   )Úr_)rb   rm   rÁ   Úrs       rc   ro   z0test_scalar_fit_param.<locals>.TestEstimator.fit«	  s	   € ØˆD�Grf   c                 ó@   — t        j                  t        |«      ¬«      S )Nrr   )ri   r÷   rh   rw   s     rc   ru   z4test_scalar_fit_param.<locals>.TestEstimator.predict®	  s   € Ü—8‘8¤3 q£6Ô+Ð+rf   r_   )r‰   rŠ   r‹   rd   ro   ru   r�   rf   rc   r®  rÃ  §	  s   „ ó	ó	ó	,rf   r®  rŒ  rü   )rÇ  )r   r   r   ro   r×   rÆ  )rê   Úparam_searchr®  Úmodelrm   rÁ   s         rc   Útest_scalar_fit_paramrË  Ÿ	  sZ   € ô,œ¬ô ,ñ ‘]“_ lÓ3€EÜ¨BÔ/�D€A€qØ	‡I�Iˆa��b€IÔØ× Ñ ×#Ñ# rÒ)Ð)Ñ)rf   c                 ó°   — t        t        d¬«      ddiŽ\  }}}} G d„ dt        «      }d„ } |  |«       |«      }||f|ddœ}	 |j                  ||fi |	¤Ž y )NrŒ  rü   rý   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 )Nr{  r   r™   r}   )r3  ro   ÚcallablerÄ   r¹   Úndim)rb   rm   rÁ   r|  Útuple_of_arraysÚscalar_paramÚcallable_paramrt  s          €rc   ro   z=test_scalar_fit_param_compat.<locals>._FitParamClassifier.fitÊ	  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ˆKrf   ©NNNN)r‰   rŠ   r‹   ro   r;  rI  s   @rc   Ú_FitParamClassifierrÎ  É	  s   ø„ ð
 Ø ØØ÷	ñ 	rf   rÖ  c                   ó   — y r_   r�   r�   rf   rc   Ú_fit_param_callablez9test_scalar_fit_param_compat.<locals>._fit_param_callableÝ	  s   € Ørf   )rÒ  rÔ  rÓ  )r6   r   r!   ro   )
rê   rÉ  ÚX_trainÚX_validrt  Úy_validrÖ  rØ  rÊ  rH  s
             rc   Útest_scalar_fit_param_compatrÜ  ·	  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-rf   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™   rí   r}   ry  ÚtransformerÚ	predictorr¡   )Útransformer__paramÚpredictor__paramarï   rø  )ri   r   r!  Úrandnrô   r>   rQ   ro   r  r�  ru   r   rW   r€   r¨   rF  r"   rS   r]  r&   )	rê   rÝ  r#  rm   rÁ   rÊ  r†   rX  r^  s	            rc   Ú1test_search_cv_using_minimal_compatible_estimatorrå  ñ	  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Grf   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.rì   r™   r  r   r  rü   rÂ   r  r  r°   )rÚ   rÒ   rÑ   r&  z$score=\(train=[\d\.]+, test=[\d.]+\)zscore=[\d\.]+N)	r   rE   r*   ro   Ú
readouterrÚoutrV  Úfindallrh   )Úcapsysr&  rm   rÁ   rÜ   r�   Úcapturedr§   s           rc   Útest_search_cv_verbose_3rì  
  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‰?rf   rç  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 )NrŒ  rü   rŽ  )rÜ   Úclf__CrÜ   r   Útrs)rÜ   NTr™   r  ©r,  rÑ   rÚ   )r   rE   rÂ   r>   rQ   ro   r×   Únamed_steps)	rê   rÉ  rm   rÁ   r†   Úorig_Cræ   Úparam_grid_searchr&  s	            rc   Útest_search_estimator_paramrô  (
  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:rf   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)rw  ©r}   r™   )Úl1Úl2)Úvect__ngram_rangeÚ
vect__normÚvectrÜ   r°   r   r™   r}   )rà  rç  r£   rý   rT  rÒ   rÑ   )Úoner  ÚthreeÚfourÚfive)r   r   r}   r   r}   Úparam_vect__ngram_rangerA  )rö  rö  rw  )r>   r   r:   r3   ro   rØ   ri   rÌ   Úobjectrg  rW   rÙ   )Úparameter_gridÚpipeliner/  Ú
data_trainÚdata_targetÚresultÚexpected_datas          rc   Útest_search_with_2d_arrayr  F
  s·   € ð .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=rf   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.rŒ  rü   r7  rÜ   F)rç   r,  Údiagram)Údisplayz<div>DummyClassifier</div>NTz<div>LogisticRegression</div>)	r   r>   rC   r   r   r*   r   Ú_repr_html_ro   )rm   rÁ   r  rç   r�  Ú	repr_htmls         rc   Útest_search_html_reprr  d
  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 9Ø×)Ñ)Ó+ˆ	Ø+¨yÑ8Ð8Ñ8÷9ð
 ‡M�M�!�QÔÜ	 	Ô	*ñ 9Ø×)Ñ)Ó+ˆ	Ø+¨yÑ8Ð8Ñ8÷9ô
 ˜X°*ÀDÔI€IØ‡M�M�!�QÔÜ	 	Ô	*ñ <Ø×)Ñ)Ó+ˆ	Ø+°9Ñ<Ð<Ð<Ø.°)Ñ;Ð;Ñ;÷<ð <÷9ð 9ú÷9ð 9ú÷<ð <ús$   Á!DÂDÃ+D*ÄDÄD'Ä*D3)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.rŒ  rü   r   rÂ   r}   )ÚregistryÚscore_weightsÚscore_metadata)r|  Úmetadatar  )Ú	my_scorerr  r™   rð  )r  r  r€   Ú_score)Úobjrp  ÚparentÚsplit_paramsr|  r  N)r   r[   ri   r   r!  r‰  rE   rG   rF   Úset_score_requestrÙ  ro   rh   rH   )rê   rÉ  rm   rÁ   r  r#  r  r  r°  ró  Úscorer_registryÚscorerrÚ   Ú_scorers                 rc   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
rf   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.rŒ  rü   rÂ   r}   rÑ   r™   zis only supported ifr¦   )r  N)r   rE   ro   r¨   r©   rÛ   r€   )rê   rÉ  rm   rÁ   r°  ró  r&  s          rc   Ú1test_score_rejects_params_with_no_routing_enabledr   «
  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 r_   )Úbase_clfÚ
parameter1Ú
parameter2Ú
parameter3Ú
parameter4)rb   r%  r&  r'  r(  r)  s         rc   rd   zAtest_cv_results_dtype_issue_29074.<locals>.MetaEstimator.__init__È
  s'   € ð %ˆDŒMØ(ˆDŒOØ(ˆDŒOØ(ˆDŒOØ(ˆD�Orf   c                 ó>   — | j                   j                  ||«       | S r_   )r%  ro   rƒ  s      rc   ro   z<test_cv_results_dtype_issue_29074.<locals>.MetaEstimator.fitÖ
  s   € Ø�M‰M×Ñ˜a Ô#ØˆKrf   c                 ó:   — | j                   j                  ||«      S r_   )r%  r€   rƒ  s      rc   r€   z>test_cv_results_dtype_issue_29074.<locals>.MetaEstimator.scoreÚ
  s   € Ø—=‘=×&Ñ& q¨!Ó,Ð,rf   rÕ  r_   )r‰   rŠ   r‹   rd   ro   r€   r�   rf   rc   ÚMetaEstimatorr#  Ç
  s   „ ð ØØØó	)ó	ó	-rf   r,  NÚoptionÚAÚBr}   r™   rþ  Ústr1Ústr2)r&  r'  r(  r)  r°   r  r   rü   Úparam_)	r   r   r*   r   r   ro   rØ   rú  r  )r,  rç   rÝ   rm   rÁ   ró  s         rc   Ú!test_cv_results_dtype_issue_29074r3  Ä
  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rf   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.rÉ  )r}   r™   r°   r±   rí   )rþ  rþ  rþ  rþ  rþ  )r~   gffffff@r+  g      @r~   )Ú	numeric_1Úobject_1Útargetr7  r}   r¡  ÚencF)Úsparse_outputr6  Úpassthrough)Ú	remainderrá   Úenc__encr™   râ   Úparam_enc__encN)r¨   ÚimportorskiprÀ  Údropr   r@   r>   r   rA   r*   ro   rØ   rú  r  )ÚpdÚdfrm   rÁ   r8  ræ   r¼  rÝ   s           rc   Ú'test_search_with_estimators_issue_29157rB  ñ
  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Drf   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.
    r¡   r¡  Úperiodic)Úextrapolation)r¡   rª  é   r   r™   r—   Úsplinetransformer__knotsrr  Úparam_splinetransformer__knotsN)r   r?   rB   r   ri   ÚlinspaceÚpiró   r*   ro   rØ   rú  r  )	rE  rm   rÁ   Úspline_reg_piperž   Ún_knots_listÚn_knotsÚ
knots_listÚspline_reg_pipe_cvs	            rc   Ú test_cv_results_multi_size_arrayrP    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, dtype)Úidsc                 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)Nrì   )r¡   r¡   )Údevicer   rí   r}   T)Úarray_api_dispatchÚtol)rŽ  r©  g-Cëâ6?gñhãˆµøä>g�íµ ÷Æ°>gH¯¼šò×z>r™   rï   rð   )rR   ri   rò   ró   ÚastypeÚasarrayrô   r   r   ro   r€   )rê   Úarray_namespacerS  rú  Úxprm   ÚX_npÚX_xpÚy_npÚy_xprø   s              rc   Ú#test_array_api_search_cv_classifierr^  1  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/  rú  rö  )r°   r±   )Úcandidate_paramsÚexpectedÚ	param_foozsimple numeric, single param)Úidrµ   r¯   Ú	param_bar)r°   r±   r   )FFTr9  z1simple numeric, one param is missing in one roundrA  zlists of different lengthszlists tuplesr®  c                 óL  — t        t        | «      «      }t        ||«      D ]�  \  \  }}\  }}||k(  sJ ‚|j                  |j                  k(  sJ ‚t        j
                  j                  ||«       t        j
                  j                  |j                  |j                  «       Œƒ y r_   )r›   r8   rj  rú  ri   rg  rW   r/  )r_  r`  r  r“  r:  Úexpected_keyÚexpected_values          rc   Ú&test_yield_masked_array_for_each_paramrg  Y  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
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‰
×%Ñ% e§j¡j°.×2EÑ2EÕFñ	Grf   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)Nr  ró  Úerror)rœ   ÚwarningsÚcatch_warningsÚsimplefilterÚRuntimeWarningr›   r8   )rž   r_  s     rc   Ú*test_yield_masked_array_no_runtime_warningrn  —  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�   )õrŒ   rÇ  rV  rÕ   rj  Úcollections.abcr   r   Ú	functoolsr   Úior   Ú	itertoolsr   r   rÌ  r	   Únumpyri   r¨   Úscipy.statsr
   r   r   rÔ   r   Úsklearn.baser   r   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/   r0   r1   r2   r3   r4   r5   r6   Úsklearn.model_selection._searchr7   r8   Ú$sklearn.model_selection.tests.commonr9   Úsklearn.naive_bayesr:   Úsklearn.neighborsr;   r<   r=   Úsklearn.pipeliner>   r?   Úsklearn.preprocessingr@   rA   rB   rC   Úsklearn.svmrD   rE   Ú%sklearn.tests.metadata_routing_commonrF   rG   rH   Úsklearn.treerI   rJ   Úsklearn.utils._array_apirK   rL   Úsklearn.utils._mockingrM   rN   Úsklearn.utils._testingrO   rP   rQ   rR   rS   rT   rU   rV   rW   rX   Úsklearn.utils.estimator_checksrY   Úsklearn.utils.fixesrZ   Úsklearn.utils.validationr[   r]   r’   rô   rm   rÁ   rŸ   ÚmarkÚparametrizer  r­   rÎ   rß   ré   rú   r	  r  r(  r-  r0  rA  rI  rR  rT  rY  ra  rl  rw  rz  r|  Úfilterwarningsr‰  r•  rš  r¡  r¦  r³  r»  r¾  rÏ  rÛ  rä  rí  r  r  r4  r=  rQ  rV  r^  rT  r\  rv  rƒ  r›  r§  r«  r±  r·  rÅ  rÌ  rÑ  rÖ  rÞ  rà  rö  rú  rü  r  r  r  r!  r$  rB  rP  Úthread_unsaferX  ra  rs  rƒ  rŠ  rŽ  r•  r›  rŸ  r¥  r°  r¹  rÀ  rË  rÜ  rå  rì  rô  r  r  r  r   r3  rB  rP  r^  Úone_hot_encoderÚordinal_encoderrñ  rò  rÌ   r  Úma_with_tuplesró  rg  rn  r�   rf   rc   ú<module>rš     sb  ðÙ ã Û 	Û 
Û ß +Ý Ý ß $Ý ã Û ß 1Ñ 1å "ß MÓ MÝ "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÷÷ E÷÷ ÷ õ EÝ .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	1ò(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$ò"8ò4Bó,VòW!òtBðJ ‡‚×ÒØ"à	˜ s¨Q°¨G nÐ5Ð6Ø	°c¸A¸r¸7°^ÈqÑQÐRðóñ5)óð5)òp ?òF
ò@#òLFð& ‡‚×ÒØáÙ,Ó.Ø!,¨q°"¨gÐ 6ô	
ñ 	Ù,Ó.¸KÈ!ÈRÈÐ;Qô	
ðóñ7óð7ò .ð@ ‡‚×ÒØáÑ1Ó3ÀÂlÐ@SÔTÙÙ“g°Gº^Ð3Lô	
ðóñ>Bóð>BðB ‡‚×ÒØáÙ(°Ô6Ø!.°°B°Ð 8Øô	
ñ
 	Ù(°Ô6Ø%¨¨2 wÐ/Øô	
ðóñóðòDNòDUð ‡‚×ÒÐIÓJñ%'ó Kð%'òP"AòJò$+ò\,òJô˜ô ò&N3òbò,ò*%òP-ò@ò\Lò~(ò6òr%ð, ‡‚×Òñ2ó ð2ò6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*
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