
    e!ht                    0   d Z ddlZddlZddlZddlZddlmZmZ ddlm	Z	 ddl
mZ ddlmZmZ ddlmZ ddlZddlZddlmZmZmZ dd	lmZ dd
lmZmZmZ ddlmZ ddl m!Z! ddl"m#Z#m$Z$m%Z% ddl&m'Z' ddl(m)Z) ddl*m+Z+ ddl,m-Z- ddl.m/Z/ ddl0m1Z1 ddl2m3Z3 ddl4m5Z5m6Z6m7Z7m8Z8 ddl9m:Z:m;Z;m<Z<m=Z=m>Z>m?Z?m@Z@ ddlAmBZB ddlCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZP ddlQmRZRmSZS ddlTmUZU ddlVmWZW ddlXmYZYmZZZm[Z[ ddl\m]Z]m^Z^ ddl_m`Z`maZambZbmcZc ddldmeZemfZf dd lgmhZhmiZimjZj dd!lkmlZlmmZm dd"lnmoZo dd#lpmqZqmrZr dd$lsmtZtmuZumvZvmwZwmxZxmyZymzZzm{Z{ dd%l|m}Z} dd&l~mZ  G d' d(ee      Z G d) d*ef      Z ej                  d+d+gd,d+gd-d-gd.d-gg      Z ej                  g d/      Zd0 Zej                  j                  d1eK e	eLd23      g      ej                  j                  d4ded5fd6dgidged7fd6died8fg      d9               Zd: Zd; Zd< Zej                  j                  d=eDeMg      d>        Zd? Zd@ ZdA ZdB ZdC ZdD ZdE ZdF ZdG ZdH Zej                  j                  dIe}      dJ        Zej                  j                  dIe}      dK        ZdL ZdM Z G dN dOe      Zej                  j;                  dP      dQ        ZdR ZdS Zej                  j                  dTd+d.g      ej                  j                  dUeMeDg      dV               ZdW ZdX ZdY ZdZ Zd[ Zd\ Zd] Zd^ Zd_ Zdd`Zda Zdb Zej                  j                  dceDddded-d2giifeMded-d2gid.dffg      dg        Zdh Zdi Zdj Zdk Zej                  j                  dU eM el       dldmd2gin       eD el       dldmd2gio      g      dp        Zej                  j                  dU eM e[dqr      dsdmd2gidtu       eD e[dqr      dsdmd2gidtv      g      dw        Zdx Zdy Zej                  j;                  dz      d{        Zd| Zd} Zd~ Zd Zd Z G d de      Zd Zd Zd Zd Zd Zd Zd Zd Zd Zd Zd Zd Zej                  j                  dddqg      ej                  j                  dceDdddlg diifeMdlg diddffg      d               Zd Zd Zd Zd Zd Zd Zd Zej                  j                  ddqdg      d        Zd Zd Zej                  j                  deDdddgifeMd ed-d      ifg      d        Zej                  j                  deDdddgifeMd edd      ifg      d        Zej                  j;                  d      ej                  j                  d=eDeMg      ej                  j                  deuetg      d                      Zej                  j                  ddqdg      d        Zej                  j                  deDddfeMdfeGddfg      d        Zd Zd Zej                  j                  d=eDeMg      d        Zej                  j                  deDddfeMdfg       edq      d               Zej                  j                  deDddfeMdfeGddfg      d        Zd Zd Zd Zej                  j                  d eo             ej                  j                  d=eDeMg      d               Z e`       Z ea       Zej                  j                   ej                  d.      dqe謸      Zded<   ded-<   ej                  j                  d ej                  d6d-id6d.igdej                  j                   ej                  d-d.g            fgd       ej                  d-ddd.ddd6digdej                  j                   ej                  g d            fdej                  j                   ej                  g d¢      g dâī      fgdŬ       ej                  d6d-gd.gdggid6d-gd.ggigdej                  j                  d-gd.gdggd-gd.gggeƫ      fgdǬ       ej                  d6did6digdefgdȬ       ej                  d6eid6eigdej                  j                  eegeƫ      fgdɬ      g      dʄ        Zd˄ Zy)zTest the search module    N)IterableSized)partial)StringIO)chainproduct)GeneratorType)	bernoulliexponuniform)config_context)BaseEstimatorClassifierMixinis_classifier)KMeans)ColumnTransformer)
make_blobsmake_classificationmake_multilabel_classification)LinearDiscriminantAnalysis)DummyClassifier)HistGradientBoostingClassifier)FitFailedWarning)enable_halving_search_cv)TfidfVectorizer)SimpleImputer)LinearRegressionLogisticRegressionRidgeSGDClassifier)accuracy_scoreconfusion_matrixf1_scoremake_scorerr2_scorerecall_scoreroc_auc_score)euclidean_distances)GridSearchCV
GroupKFoldGroupShuffleSplitHalvingGridSearchCVKFoldLeaveOneGroupOutLeavePGroupsOutParameterGridParameterSamplerRandomizedSearchCVStratifiedKFoldStratifiedShuffleSplittrain_test_split)BaseSearchCV"_yield_masked_array_for_each_param)OneTimeSplitter)ComplementNB)KernelDensityKNeighborsClassifierLocalOutlierFactor)Pipelinemake_pipeline)OneHotEncoderOrdinalEncoderSplineTransformerStandardScaler)SVC	LinearSVC)ConsumingScorer	_Registrycheck_recorded_metadata)DecisionTreeClassifierDecisionTreeRegressor))yield_namespace_device_dtype_combinations)CheckingClassifierMockDataFrame)MinimalClassifierMinimalRegressorMinimalTransformer_array_api_for_testsassert_allcloseassert_almost_equalassert_array_almost_equalassert_array_equal)CSR_CONTAINERS)_num_samplesc                   R    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)MockClassifierz8Dummy classifier to test the parameter search algorithmsc                     || _         y N	foo_param)selfr\   s     q/var/www/html/diagnosisapp-backend/venv/lib/python3.12/site-packages/sklearn/model_selection/tests/test_search.py__init__zMockClassifier.__init__j   	    "    c                 l    t        |      t        |      k(  sJ t        j                  |      | _        | S rZ   )lennpuniqueclasses_r]   XYs      r^   fitzMockClassifier.fitm   s,    1vQ		!ra   c                      |j                   d   S Nr   shape)r]   Ts     r^   predictzMockClassifier.predictr   s    wwqzra   c                      || j                   z   S rZ   r[   r]   rh   s     r^   	transformzMockClassifier.transformu       4>>!!ra   c                      || j                   z
  S rZ   r[   rr   s     r^   inverse_transformz MockClassifier.inverse_transformx   rt   ra   Nc                 0    | j                   dkD  rd}|S d}|S )N         ?        r[   )r]   rh   ri   scores       r^   r{   zMockClassifier.score   s&    >>AE  Era   c                     d| j                   iS Nr\   r[   )r]   deeps     r^   
get_paramszMockClassifier.get_params   s    T^^,,ra   c                     |d   | _         | S r}   r[   )r]   paramss     r^   
set_paramszMockClassifier.set_params   s    ,ra   )r   NN)F)__name__
__module____qualname____doc__r_   rj   rp   rs   rv   predict_probapredict_log_probadecision_functionr{   r   r    ra   r^   rX   rX   g   s@    B#
"" M-ra   rX   c                        e Zd ZdZed        Zy)LinearSVCNoScorez0A LinearSVC classifier that has no score method.c                     t         rZ   )AttributeErrorr]   s    r^   r{   zLinearSVCNoScore.score   s    ra   N)r   r   r   r   propertyr{   r   ra   r^   r   r      s    : ra   r   rx      )rx   rx   r   r   c                 t    t        |       t        t        |             D cg c]  }| |   	 c}k(  sJ y c c}w rZ   )listrangerc   )gridis     r^   assert_grid_iter_equals_getitemr      s/    :5T+;<a$q'<<<<<s   5klass
   n_iterz input, error_type, error_messagez1Parameter .* a dict or a list, got: 0 of type int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                 l    t        j                  ||      5   | |       d d d        y # 1 sw Y   y xY w)Nmatch)pytestraises)r   input
error_typeerror_messages       r^   test_validate_parameter_inputr      s.     
z	7 e  s   	*3c            
         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}t        |      }t	        |      dk(  sJ t        d      D ];  }t        d	 |D              }|t        d
 t        |d   |d         D              k(  r;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   TxY w)Nr   rx   r      r      r   )hamspameggsr   bar   c           	   3   l   K   | ],  }t        t        t        |j                                       . y wrZ   )tupler   sorteditems).0ps     r^   	<genexpr>z&test_parameter_grid.<locals>.<genexpr>   s%     GAU56!'')#467Gs   24c              3   .   K   | ]  \  }}d |d|f  yw)r   r   Nr   )r   xys      r^   r   z&test_parameter_grid.<locals>.<genexpr>   s"      
%)QUAua 
s   r   rx   Cr         ?)r0   
isinstancer   r   rc   r   r   setr   r   r   r   
IndexError)params1grid1params2grid2r   pointsempty	has_emptys           r^   test_parameter_gridr      s   i G'"EeX&&&eU###u:??#E*!f%<=G'"Eu:?? 1X 
GGG 
-4WU^WU^-T
 
 
 	
 

 $E* "Eu:??;2$#E*	z	" a aW~rC#<@AIy>Q	?Qx#rBc
CCCC#I. s   E22E;c                     t               } t        | dg didd      }t        j                  }t	               t        _        |j                  t        t               |t        _        |j                  j                  dk(  sJ t        |j                  d   j                  g d       |j                  t        t               |j                  t               |j                  t               |j!                  t               d|_        t%        j&                  t(              5  |j                  t        t               d d d        y # 1 sw Y   y xY w)Nr\   r   r   r   cvverboseparam_foo_paramsklearn)rX   r)   sysstdoutr   rj   rh   r   best_estimator_r\   rT   cv_results_datar{   r   r   rs   scoringr   r   
ValueError)clfgrid_search
old_stdouts      r^   test_grid_searchr      s    

Cs[)$<ANKJCJOOAqCJ&&00A555{../@AFF	R aa !!!$! $K	z	" 1  s   EEc                     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 )N	regressorr   r   param_regressorr   rx   coef_)r=   r   r   r)   rj   rh   r   r   r   hasattrr   )pipe
param_gridr   regressor_resultss       r^   test_grid_search_pipeline_stepsr      s   k#3#5678D 0 2EG<=JtZA6KOOAq#//0AB'*,<==='*E222(+W555(+W555Q{'B'BBBBQ{'B'BBBBz+.q17;;;z+.q17;;;;ra   SearchCVc           	         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   xY w# 1 sw Y   QxY w)Nd   r   r      rx   r   r   )expected_fit_paramsr\   r   r   raiser   error_scorez0Expected fit parameter\(s\) \['eggs'\] not seen.r   )r   z)Fit parameter spam has length 1; expected)r   r   )rd   arangereshapearrayrK   r   r   AssertionErrorrj   oneszeros)r   rh   r   r   searchererr_msgs         r^   test_SearchCV_with_fit_paramsr      s   
		#r2&A
!qA37"#A
&&1A
BCk95!QH BG	~W	5 -Q,- :G	~W	5 ?Q
">?LLABGGBKbhhrlL;- -? ?s   (E<EEE#c                  
   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   random_stater   r   centers皙?rx   r   r   accuracyr   z
no scoringr   rx   )
rD   r   r   r)   rj   best_params_r{   r   r   	TypeError)r   rh   r   Csclf_no_scorer   grid_search_no_scores          r^   test_grid_search_no_scorer    s    

#C1a0DAq	B#3LsS"IzBKOOAq'sBiTQ"  ,,0H0HHHHQ"&:&@&@A&FFFF (sBi@	y	5 (  1#'( ( (s   C99Dc                  4   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 )Nr   r   皙?r   	n_samples	n_classesflip_yr   r   r   r   r   r   roc_aucry   )r   rD   r)   rj   r   r{   rR   )rh   r   r   r   search_no_scoringsearch_accuracysearch_no_score_method_auc
search_aucscore_no_scoringscore_accuracyscore_no_score_auc	score_aucs               r^   test_grid_search_score_methodr  +  s.   #TUVDAq

#C#<D$S$=AA!QG"3jAEEaKO!-D)"	c!Qi  c4;??1EJ )..q!4$**1a0N399!Q?  A&I s??C&&&(89	#56ra   c                  N   t         j                  j                  d      } t        ddd      \  }}| j	                  ddd      }t        d      }ddgi}t               t        d      t        d	      t               g}d
}|D ]Z  }t        |||      }	t        j                  t        |      5  |	j                  ||       d d d        |	j                  |||       \ t               t!               g}
|
D ]"  }t        |||      }	|	j                  ||       $ y # 1 sw Y   [xY w)Nr      r   )r  r	  r   r   r   r   rx   n_splitsz*The 'groups' parameter should not be None.r   r   )groups)rd   randomRandomStater   randintrD   r.   r/   r*   r+   r)   r   r   r   rj   r3   r4   )rngrh   r   r  r   r   	group_cvs	error_msgr   gsnon_group_cvss              r^   test_grid_search_groupsr"  G  s    ))


"CqqIDAq[[Ar"F

#C!:D 	A	I =I $#t+]]:Y7 	FF1aL	
q!F#	$ %&(>(@AM #t+
q!	 	s   .DD$	c                  n   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 )Nr   r   r   r   rx   r   r   r   alphary          @rf   F)refit)rd   r   r   r   r)   rD   rj   rT   r   rf   r   r   )rh   r   r  r   s       r^   test_classes__propertyr'  f  s   
		#r2&A
!qA37"#A	Bya83)DKOOAq{22;;[=Q=QR uw3*(=>KOOAq{J/// ya83)DK{J/// ya83)5QKOOAq{J////ra   c                      t               } t        | ddgid      }|j                  t        t               t        |d      sJ t        | ddgidd      }|j                  t        t               t        |d      sJ y )Nr\   rx   r   r   r   r   )r   r   )rX   r)   rj   rh   r   r   r2   )r   r   random_searchs      r^   test_trivial_cv_results_attrr*    st    

Cs[1#$61=KOOAq;...&s[1#,>qQOMa;...ra   c            
         t               } d ddgfD ]  }t        | dg didd      }|j                  t        t               t        |d      st        |d	      rt        |d
      sJ dD ]  }d| d}d| d}t        j                  t        |      5 } t        ||      t               d d d        t        j                  j                  t              sJ |t        |j                  j                        v rJ   d}dD ]P  }t        j                  t        |      5  t        | i |ddd      j                  t        t               d d d        R y # 1 sw Y   xY w# 1 sw Y   ixY w)Nr   	precisionr\   r   Fr   r&  r   r   best_index_r   )rp   r   r   rs   rv   zhas no attribute ''z`refit=False`. z9 is available only after refitting on the best parametersr   zIFor multi-metric scoring, the parameter refit must be set to a scorer key)Trecallr   )accprec)r&  r   )rX   r)   rj   rh   r   r   r   r   r   getattrr   value	__cause__strr   )	r   r   r   fn_name	outer_msg	inner_msg	exec_infor  r&  s	            r^   test_no_refitr;    s}   

C:{34 ?"3i(@RST1%67]3^4	
5
 	?G -WIQ7I!' +3 3  ~Y? 19-W-a01 ioo77HHHIOO$=$= >>>>!	??> 	T  . ]]:Y7 	Ruj+.Vc!Qi	 	1 1	 	s   E!+E#E #E,	c                      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)	N   r   r   r  
n_featuresr   r   r   ry      )r   rD   r)   r   r   r   rj   )X_y_r   r   s       r^   test_grid_search_errorrC    se     33QOFB
+C	cC#s,	-B	z	" 
r$3x  s   A$$A-c                      t        ddd      \  } }dgdgdgd}t        d	
      }t        ||      }|j                  | |       t        ddd      }|j                  | |       t	        |j
                  |j                  j
                         y )Nr=  r   r   r>  ry   rbfr   )r   kernelgammaautorG  )r   rC   r)   rj   rT   
dual_coef_r   )rA  rB  
param_dictr   r   s        r^   test_grid_search_one_grid_pointrL    s~     33QOFBu3%@J
F
C	c:	&BFF2rN
E
-CGGBOs~~r'9'9'D'DEra   c                      t               } d }t        | dt        dd      id      }|j                  t        t
               |j                  j                  dk(  sJ y )Nr\   rx   r   r   r   )rX   r)   r   rj   rh   r   r   r\   )r   r   s     r^   /test_grid_search_when_param_grid_includes_rangerN    sP    

CKs[%1+$>1EKOOAq&&00A555ra   c                     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   8xY w# 1 sw Y   xY w# 1 sw Y   xY w# 1 sw Y   y xY w)Nr   r   r   r>  r   rx   rH  rI  zParameter 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1,2,3zParameter grid for parameter 'C' needs to be a list or a numpy array, but got '1,2,3' (of type str) instead. Single values need to be wrapped in a list with one element.)r   r   )r   rC   reescaper)   r   r   r   rj   r   rd   r   )rh   r   rK  r   r  searchs         r^   test_grid_search_bad_param_gridrS    s   JDAqqJ
F
C			@I
 #z*F	y		2 

1a rJ
%C		SI #z*F	z	3 

1a wJ
F
C			.I
 #z*F	y		2 

1a rwwv'J
%C#z*F	z	" 

1a 5    s0   F'F4*G G'F14F= G	Gcsr_containerc                 
   t        ddd      \  }}t               }t        |dddgi      }|j                  |d d |d d        |j	                  |dd        }|j
                  j                  } | |      }t               }t        |dddgi      }|j                  |d d j                         |d d        |j	                  |dd        }|j
                  j                  }t        j                  ||k(        d	k\  sJ ||k(  sJ y )
Nr=  r   r   r>  r   r   ry   r@  g?)
r   rD   r)   rj   rp   r   r   tocoord   mean)	rT  rA  rB  r   r   y_predr   y_pred2C2s	            r^   test_grid_search_sparser[    s    !33QOFB
+C	cC#s,	-BFF2ds8RXZZ34!F
A	r	B
+C	cC#s,	-BFF2ds8>>RX&jjCD"G					B776W$%,,,7N7ra   c                    t        ddd      \  }}t               }t        |dddgid	      }|j                  |d d
 |d d
        |j	                  |d
d        }|j
                  j                  } | |      }t               }t        |dddgid	      }|j                  |d d
 |d d
        |j	                  |d
d        }|j
                  j                  }t        ||       ||k(  sJ d }	t        |	d      }
t        |dddgi|
	      }|j                  |d d
 |d d
        |j	                  |d
d        }|j
                  j                  }||k(  sJ t        ||       y )Nr=  r   r   r>  r   r   ry   f1r   r@  c                     t        | |       S rZ   )r#   )y_true_y_pred_s     r^   f1_lossz0test_grid_search_sparse_scoring.<locals>.f1_loss-  s    '***ra   F)greater_is_better)	r   rD   r)   rj   rp   r   r   rT   r$   )rT  rA  rB  r   r   rX  r   rY  rZ  ra  F1Lossy_pred3C3s                r^   test_grid_search_sparse_scoringrf    sk    33QOFB
+C	cC#s,d	;BFF2ds8RXZZ34!F
A	r	B
+C	cC#s,d	;BFF2ds8RXjjCD"G					Bvw'7N7+ E:F	cC#s,f	=BFF2ds8RXjjCD"G					B7N7vw'ra   c                  H   t        ddd      \  } }t        j                  | d d | d d j                        }|d d }t	        d      }t        |dd	d
gi      }|j                  ||       |j                  dk\  sJ t        j                  | dd  | d d j                        }|dd  }|j                  |      }t        j                  ||k(        dk\  sJ t        j                  t              5  |j                  |j                         |       d d d        y # 1 sw Y   y xY w)Nr=  r   r   r>  r@  precomputedrF  r   r   ry   )r   rd   dotro   rC   r)   rj   best_score_rp   rW  r   r   r   tolist)	rA  rB  K_trainy_trainr   r   K_testy_testrX  s	            r^   #test_grid_search_precomputed_kernelrq  :  s    !33QOFB ffRXr$3xzz*G#hG
]
#C	cC#s,	-BFF7G>>Q VVBstHb#hjj)FXFZZF776V#$))) 
z	" *
w~~)* * *s   .!DD!c                     t        j                  d      } t        j                  d      }t        d      }t	        |dddgi      }t        j                  t              5  |j                  | |       d d d        y # 1 sw Y   y xY w)N)r      )r   rh  ri  r   r   ry   )	rd   r   r   rC   r)   r   r   r   rj   )rm  rn  r   r   s       r^   3test_grid_search_precomputed_kernel_error_nonsquarert  W  sm     hhx GggenG
]
#C	cC#s,	-B	z	" !
w ! ! !s    A<<Bc                   $    e Zd ZdZddZd Zd Zy)BrokenClassifierz*Broken classifier that cannot be fit twiceNc                     || _         y rZ   	parameterr]   ry  s     r^   r_   zBrokenClassifier.__init__e  r`   ra   c                 .    t        | d      rJ d| _        y )Nhas_been_fit_T)r   r|  r]   rh   r   s      r^   rj   zBrokenClassifier.fith  s    4111!ra   c                 F    t        j                  |j                  d         S rl   rd   r   rn   rr   s     r^   rp   zBrokenClassifier.predictl      xx
##ra   rZ   )r   r   r   r   r_   rj   rp   r   ra   r^   rv  rv  b  s    4#"$ra   rv  z1ignore::sklearn.exceptions.UndefinedMetricWarningc                      t        j                  d      j                  dd      } t        j                  dgdz  dgdz  z         }t	        t               dddgigdd	      }|j                  | |       y )
Nr   r   r   r   rx   ry  r,  Tr   r&  )rd   r   r   r   r)   rv  rj   )rh   r   r   s      r^   
test_refitr  p  so    
 			#r2&A
!qA37"#A
kAq623[PTC GGAqMra   c                      d } t        ddd      \  }}t        t        d      dg did	| 
      }|j                  ||       |j                  dk(  sJ t        |d      rJ y)z^
    Test refit=callable, which adds flexibility in identifying the
    "best" estimator.
    c                    t        ddd      \  }}t        t        d      dg didd	
      }|j                  ||       |j                  dk7  sJ |j
                  j                         D ]  }|| v rJ  | d   j                         S )z
        A dummy function tests `refit=callable` interface.
        Return the index of a model that has the least
        `mean_test_score`.
        r   r   *   r>  r   r   {Gz?r   rx   r,  Tr  r   mean_test_score)r   r)   rD   rj   r.  r   keysargmin)
cv_resultsrh   r   r   keys        r^   refit_callablez+test_refit_callable.<locals>.refit_callable  s     #SQRP12&.!	
 	1!### ??'') 	%C*$$$	% +,3355ra   r   r   r  r>  r   r   r  r,  r  r   rk  N)r   r)   rD   rj   r.  r   )r  rh   r   r   s       r^   test_refit_callabler  ~  so    62 LDAq
r"	n	C GGAqM??asM****ra   c                      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                      y)zT
        A dummy function tests when returned 'best_index_' is not integer.
        Nr   r  s    r^   refit_callable_invalid_typezEtest_refit_callable_invalid_type.<locals>.refit_callable_invalid_type  s     ra   r   r   r  r>  r   r   r   rx   r,  r  z&best_index_ returned is not an integerr   N)r   r)   rD   r   r   r   rj   )r  rh   r   r   s       r^    test_refit_callable_invalid_typer    sq     LDAq
r"	sAh)	C 
y(P	Q 1     A))A2out_bound_value	search_cvc                       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                     S )zV
        A dummy function tests when returned 'best_index_' is out of bounds.
        r   )r  r  s    r^   refit_callable_out_boundz?test_refit_callable_out_bound.<locals>.refit_callable_out_bound  s     ra   r   r   r  r>  r   r   r   rx   r,  r  zbest_index_ index out of ranger   N)r   rD   r   r   r   rj   )r  r  r  rh   r   r   s   `     r^   test_refit_callable_out_boundr    sr     LDAq
r"	sAh&	C 
z)I	J 1  r  c                      d } t        ddd      \  }}t        t              dd}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                 4    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`.
        mean_test_prec)r  r  s    r^   r  z8test_refit_callable_multi_metric.<locals>.refit_callable  s'      :---*+2244ra   r   r   r  r>  r,  )Accuracyr2  r   r   r  r  r   rk  N)r   r$   r!   r)   rD   rj   r.  r   )r  rh   r   r   r   s        r^    test_refit_callable_multi_metricr    s~    
5 LDAq&~6LG
r"	n	C GGAqM??asM****ra   c                  X   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 )N,  r   r   r   r   i        c                 &    | j                   dd  dk(  S )Nrx   )r   r   r   rm   r   s    r^   check_Xz#test_gridsearch_nd.<locals>.check_X  s    wwqr{i''ra   c                 &    | j                   dd  dk(  S )Nrx   )r  r  rm   r  s    r^   check_yz#test_gridsearch_nd.<locals>.check_y  s    wwqr{g%%ra   rj   )r  r  methods_to_checkr\   r   r   )
rd   r   r   rK   r)   rj   r{   rh   r   r   )X_4dy_3dr  r  r   r   s         r^   test_gridsearch_ndr    s    99^$,,RAq9D99[!))"a4D(& C
 s[)$<=KOOD$%%a+;...ra   c                  d   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 )Nr   r   r   r   rx   c                 "    t        | t              S rZ   r   r   r  s    r^   <lambda>z test_X_as_list.<locals>.<lambda>      *Q- ra   rj   )r  r  r   r  r\   r   r   r   rd   r   r   r   rK   r-   r)   rj   rl  r{   r   rh   r   r   r   r   s        r^   test_X_as_listr    s    
		#r2&A
!qA37"#A
-C 
	Bs[)$<DKOOAHHJ"((A.;...ra   c                  d   t        j                  d      j                  dd      } t        j                  dgdz  dgdz  z         }t	        d dg      }t        d	
      }t        |dg di|      }|j                  | |j                               j                  | |       t        |d      sJ y )Nr   r   r   r   rx   c                 "    t        | t              S rZ   r  r  s    r^   r  z test_y_as_list.<locals>.<lambda>$  r  ra   rj   )r  r  r   r  r\   r   r   r   r  r  s        r^   test_y_as_listr    s    
		#r2&A
!qA37"#A
-C 
	Bs[)$<DKOOAqxxz"((A.;...ra   c                     t         t         fg} 	 ddlm}m} | j	                  ||f       t        j                  d      j                  dd      }t        j                  dgdz  dgdz  z         }| D ]}  \   |       |      }}fd}fd}t        ||	      }	t        |	d
g di      }
|
j                  ||      j                  ||       |
j                  |       t        |
d      r}J  y # t
        $ r Y w xY w)Nr   )	DataFrameSeriesr   r   r   rx   c                     t        |       S rZ   r   )r   InputFeatureTypes    r^   check_dfz#test_pandas_input.<locals>.check_df>  s    a!122ra   c                     t        |       S rZ   r  )r   
TargetTypes    r^   check_seriesz'test_pandas_input.<locals>.check_seriesA  s    a,,ra   )r  r  r\   r   r   )rL   pandasr  r  appendImportErrorrd   r   r   r   rK   r)   rj   r{   rp   r   )typesr  r  rh   r   X_dfy_serr  r  r   r   r  r  s              @@r^   test_pandas_inputr  -  s   ]+,E,i() 			#r2&A
!qA37"#A(- 3$*&q):a=e	3	- !<H"3i(@Ae$**47D!{M2223  s   C4 4	D ?D c                     t        dd      \  } }t        ddd      }ddg}d	D ]C  }t        |t        g d
      ||      }|j	                  | |       |j
                  d   dk(  rCJ  t        |t        g d
      d      }|j	                  | |       |j
                  d   dk(  sJ t        |t        g d
            }|j	                  |        |j
                  d   dk(  sJ y )N2   r   r  r   r  rx   )r   initn_initadjusted_rand_scorefowlkes_mallows_score)r  r  )r   r   r   )
n_clusters)r   r   r&  r  r   r   r   )r   r   )r   r   r)   dictrj   r   )rh   r   kmr   r&  r   s         r^   test_unsupervised_grid_searchr  L  s    3DAq	QXa	8B %&=>GA ;"495we
 	1''5:::; 
ty1;RK OOAq##L1Q666 rdi.HIKOOA##L1Q666ra   c                      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                 (    | j                   dk(  rdS dS )Nr   r  r   	bandwidth)	estimatorrh   s     r^   custom_scoringz2test_gridsearch_no_predict.<locals>.custom_scoringk  s    ((C/r6Q6ra   r   rx   r   )cluster_stdr   r   r  r  r  r  r  )r   r)   r:   r  rj   r   rk  )r  rh   _rR  s       r^   test_gridsearch_no_predictr  h  s    7 #AAAQRTUPV?WXDAq.1F
 JJqM{+s222###ra   c                     ddgt        dd      d} t        | dd      }|D cg c]  }| }}t        |      dk(  sJ |D ]  }|d   d	v sJ d|d
   cxk  rdk  rJ  J  d
g di} t        | dd      }|D cg c]  }| c}|D cg c]  }| c}k(  sJ d
t        dd      i} t        | dd      }|D cg c]  }| c}|D cg c]  }| c}k(  sJ y c c}w c c}w c c}w c c}w c c}w )NrE  linearr   rx   )rF  r   r   )param_distributionsr   r   rF  )rE  r  r   )r   rx   r   r   r   r   r   r     	   r   r   )r   r1   rc   )r  samplerr   samplessamples        r^   test_param_samplerr  y  s2   &+X%6WQ]K/G ""Qq"G"w<2 %h#4444F3K$1$$$$$%
  BC/G !Aw#7!A#77771./G !Aw#7!A#7777# #  #7  #7s   	C:	C		C#9	C(	C-c                    | j                   t        fd|D              sJ |D ci c]  }||   j                  j                   c}|k(  sJ t	        fd|D              rJ t        fd|D              sJ | j
                  r| j                  j                         ndg}|D ]'  }d|z     j                  t        j                  k(  r'J  y c c}w )Nc              3   l   K   | ]+  }t        |   t        j                  j                         - y wrZ   r   rd   maMaskedArray)r   paramr  s     r^   r   z/check_cv_results_array_types.<locals>.<genexpr>  s'     XEz*U+RUU->->?X   14c              3   l   K   | ]+  }t        |   t        j                  j                         - y wrZ   r  r   r  r  s     r^   r   z/check_cv_results_array_types.<locals>.<genexpr>  s&     Xc:joruu/@/@AXr  c              3      K   | ]5  }|j                  d       s"|   j                  t        j                  k(   7 yw)rankN)
startswithdtyperd   float64r  s     r^   r   z/check_cv_results_array_types.<locals>.<genexpr>  s8      ~~f% 	3+s   ;>r{   zrank_test_%s)
r   allr  kindanymultimetric_scorer_r  rd   int32)rR  
param_keys
score_keysexpected_cv_results_kindsr  scorer_keysr  s         @r^   check_cv_results_array_typesr     s     ##JXZXXXX3=,/Z_""'''	"# # # XZXXXX     ,2+>+>&..%%'WIK B.3./55AAABs   !Cc                      ||z   |z   }t        t         j                               t        |dz                t         fd||z   D              sJ y )N)r   c              3   D   K   | ]  }|   j                   fk(    y wrZ   rm   )r   r  r  n_cands     r^   r   z(check_cv_results_keys.<locals>.<genexpr>  s"     Ucz#$$	1Us    )rT   r   r  r  )r  r  r  r  
extra_keysall_keyss   `  `  r^   check_cv_results_keysr    sK    J&3Hvjoo/0&K9O2PQUZ*=TUUUUra   c                     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
                  t        d   dk\        sJ fd|D        sJ fd|D        sJ ddddd}t        ||||       t        |||       |j
                  t        |      D 	cg c]H  }	d   |	   dk(  r;d   j                  |	   xr' d   j                  |	   xr d   j                  |	    J }
}	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                  |	   K }}	t        |      sJ t        |      dk(  sJ y c c}	w c c}	w )Nr  r   r  r>  r   rE  rx   r   r   rF  r   rG  polyr   rF  degreeparam_Cparam_degreeparam_gammaparam_kernelr  mean_train_scorerank_test_scoresplit0_test_scoresplit1_test_scoresplit2_test_scoresplit0_train_scoresplit1_train_scoresplit2_train_scorestd_test_scorestd_train_scoremean_fit_timestd_fit_timemean_score_timestd_score_timer   T)r   r   return_train_scorer  c              3   L   K   | ]  }|d k7  s	t        |   dk\          yw)r  r   Nr  r   kr  s     r^   r   z.test_grid_search_cv_results.<locals>.<genexpr>  s'     R1@Q;QC
1"#Rs   
$$c              3   R   K   | ]  }d |vr|dk7  rt        |   dk           yw)timer  rx   Nr"  r#  s     r^   r   z.test_grid_search_cv_results.<locals>.<genexpr>  s6      ?q$55 	JqMQs   $'r   fOr  r  r  r  )r   r  r)   rC   rj   r   r  r   r  r   maskrc   )rh   r   n_grid_pointsr   r  r  n_candidatesrR  r  r   poly_resultsrbf_resultsr  s               @r^   test_grid_search_cv_resultsr.    ss   KDAqM "g(	
 	 q6		
F  LJJ" !L#%A&TRF
JJq!##Jz+,1222RZRRR   	! !
J(A *j*lK##J |$ n%a(F2 y!&&q) 7=)..q17~.33A667L  ||!!! |$ n%a(E1 9%**1-- 3}-221553>*//23K  {{q   -s   AGAGc                    	 t        ddd      \  } }d}dgt        d      t        d	      d
dgddgdg}d}d}|}t        t               |d|d      }|j	                  | |       |j
                  	ddddd}t        ||||       t        	|||       t        	fdt        |      D              sJ t        	fdt        |      D              sJ y )Nr  r   r  r>     rE  r   )scaler   r  r	  r   r   r
  r  r  T)r   r   r  r   r'  r   r(  c              3      K   | ]J  }d    |   dk(  r=d   j                   |   xr' d   j                   |   xr d   j                   |     L yw)r  r	  r  r  r  Nr)  r   r   r  s     r^   r   z0test_random_search_cv_results.<locals>.<genexpr>;  su       n%a(F2 y!&&q) 7=)..q17~.33A667s   AAc              3      K   | ]K  }d    |   dk(  r>d   j                   |    xr' d   j                   |    xr d   j                   |    M yw)r  rE  r  r  r  Nr3  r4  s     r^   r   z0test_random_search_cv_results.<locals>.<genexpr>D  sx       n%a(E1 9%**1-- 3}-221553>*//23s   AA)
r   r   r2   rC   rj   r   r   r  r  r   )
rh   r   n_search_iterr   r  r  r+  rR  r  r  s
            @r^   test_random_search_cv_resultsr7  
  s   KDAqM 7R5s;KL81v.F LJJ" !L"F JJq!##J 	! !
J(A *j*lK  |$      |$   ra   zSearchCV, specialized_paramsr   r   )r  r   c                    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
} | di ||}|j                  ||       t        j                  t        |j                        D cg c]  }|j                  d|z     d    c}      }	|j                  d   d   }
|j                  d   d   }t        j                  t        |j                        D cg c]  }|j                  d|z     d    c}      }|j                  d   d   }|j                  d   d   }|j                  d   d   dk(  sJ t        |	ddg       t        |ddg       |
t        j                  t        j                  |	            k(  sJ |t        j                  t        j                   |	            k(  sJ |t        j                  d      k(  sJ |t        j                  d      k(  sJ y c c}w c c}w )Nr   rx   r   FP   )r   r   r  shuffler  r  r   T)r  r   r   split%d_test_scorer  r  zsplit%d_train_scorer  r  r  gUUUUUU?r   )r   rd   r   rn   boolwhererC   rj   r   r   	n_splits_r   rQ   r   approxrW  std)r   specialized_paramsrh   r   r)  r   common_paramsrR  stest_cv_scores	test_meantest_stdtrain_cv_scores
train_mean	train_stds                  r^   test_search_default_iidrK  O  s    Q!Q!Q!Q0DAq 771771:T*D%&D!q&	!	SqS	!"%&D!q&	!	SqS	!" $-4%	'B"%%rNM<<);<F
JJq!XX 6++,	
 3a78;	
N ""#45a8I!!"23A6Hhh 6++,	
 4q89!<	
O ##$67:J""#45a8Ii(+q000NQ	N3OaV,bggn&=>>>>v}}RVVN%;<<<< q))))a((((9	
	
s   *I I%c                  H   t        ddd      \  } }d}t        dgddgd	dg
      t        dgddg      g}g }t        t              t        t              dddfD ]=  }t        t               |||d      }|j                  | |       |j                  |       ? t        |  y )Nr  r   r  r>  r   rE  rx   r   r   r  r	  r   r
  r   r0  r   r0  F)r   r   r   r&  )
r   r  r$   r!   r&   r)   rC   rj   r  *compare_cv_results_multimetric_with_single)rh   r   r  r   grid_searchesr   r   s          r^   'test_grid_search_cv_results_multimetricrP    s    KDAqH "g(	
 	 q6		
F  M 0K<UV 	*
 #Eh67%
 	1[)	* />ra   c                     t        ddd      \  } }d}d}t        t        j                  ddd      t        j                  d	d
dd            }dD ]  }g }dD ]_  }|rd}t	        |t
              rdn|}nd}t        |d      }	t        |	|||||d
      }
|
j                  | |       |j                  |
       a t        |  t        |d
   |d   |        y )Nr  r   r  r>  r   r0  rx   r   r   )base)r   rG  TF)rM  r   r0  Tr   F)probabilityr   )r   r   r  r   r&  r   )r   r  rd   logspacer   r   rC   r2   rj   r  rN  )compare_refit_methods_when_refit_with_acc)rh   r   r  r6  r   r&  random_searchesr   rV  r   r)  s              r^   )test_random_search_cv_results_multimetricrZ    s    KDAqHM BKKAq)RAC1PQF 
E 	2G"&0%&@
e#+B?C.$$*M a#""=1%	2( 	3OD1A 2E	
/
ra   c                    | j                   sJ t        t        | j                        d       | j                  |j                  j                         D ci c]  \  }}t        j                  dd|      | }}}|j                  |j                  j                         D ci c]  \  }}t        j                  dd|      | c}}       t        fddD              sJ t        j                  j                  j                         D ci c]  \  }}|j                  d      r|| c}}|j                         D ci c]  \  }}|j                  d      r|| c}}       yc c}}w c c}}w c c}}w c c}}w )	zCompare multi-metric cv_results with the ensemble of multiple
    single metric cv_results from single metric grid/random searchrM  z_score$	_accuracy_recallc              3   T   K   | ]  }t        j                  |   d k         ! yw)rx   N)rd   r  )r   r$  cv_results_multis     r^   r   z=compare_cv_results_multimetric_with_single.<locals>.<genexpr>  s-      	
 FF#A&!+,	
s   %()r  r  r  r  _timeN)r  rT   r   r  r   r   rP  subupdater  rd   testingassert_equalendswith)search_multi
search_acc
search_recr$  vcv_results_acc_recr_  s         @r^   rN  rN    sX    $$$$vl2235KL#//9C9O9O9U9U9W15Ay+q)1,  8B8N8N8T8T8VW1	9a	(!	+W 	
	

 
 
 JJ*002N$!Q!**W:MAN,224P$!QAJJw<OAP1 	X* 	OPs$   "E.%"E4
E:
+E:
F  F c           	         |j                   |k(  sJ |r| j                   dk(  sJ | j                   rJ yt        ddd      \  }}dD ].  }t         t        | |      |       t        ||      |             0 t        | j	                  ||      |j	                  ||             dD ]  }t        | |      t        ||      k(  rJ  y)	zDCompare refit multi-metric search methods with single metric methodsr   Nr   r   r  r>  )rp   r   r   )r.  rk  r   )r&  r   rR   r3  r{   )rf  rg  r&  rh   r   methodr  s          r^   rX  rX    s    u$$$!!Z///%%%%CDAqC 
)GL&)!,.Igj&.I!.L	

 **1a0*2B2B1a2HI= F|S)WZ-EEEEFra   	max_depthr   )r  r  r  r   c                    t        ddd      \  }}| j                  ||       d| j                  j                   d}d}t	        j
                  t        |      5 }| j                  |       d d d        t        j                  j                  t              sJ |t        |j                  j                        k(  sJ y # 1 sw Y   TxY w)	Nr   r   r  r>  r/  z"' has no attribute 'score_samples'z@'DecisionTreeClassifier' object has no attribute 'score_samples'r   )r   rj   	__class__r   r   r   r   score_samplesr   r4  r5  r6  )r  rh   r   r8  r9  r:  s         r^   "test_search_cv_score_samples_errorrr    s     CDAqMM!Q I''0011STIRI	~Y	7 #9"#ioo//@@@IOO556666# #s   C  C	T)noveltyn_neighborsr,  )r  r  r   )r  r   r   c           	         t         j                  j                  d      }d}d}t        ||z        }||z
  }t	        |dddgddggdd      d   }t        j
                  ||j                  dd	|df
      gd      }t        j                  dg|z        }d|| d  | j                  ||       t        | j                  |      | j                  j                  |             y )Nr  r  g333333?r   r   r   )r  r?  r   r  r   ir   )lowhighsizeaxisrx   r   )rd   r  r  intr   concatenater   r   rj   rQ   rq  r   )r  r  r  outliers_fraction
n_outliers	n_inliersrh   y_trues           r^   #test_search_cv_score_samples_methodr  )  s    " ))


#CI&23JJ&I 	Q!Q 	 		A 	3;;2AZO;LMTUVA XXqcIo&FFJ;< MM!V "I$=$=$K$KA$Nra   c                     t        dd      \  } }dg di}t        t               |d      }t        t               d|d	      }||fD ]  }|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        y )Nr  r  r  r   )rx   gjt?MbP?T)r   r   r   )r   r  r   r  r   rx   r  r   r  )rx   rx   r   )	r   r)   rC   r2   rj   r   rR   rd   allclose)rh   r   r   r   r)  rR  r  s          r^   (test_search_cv_results_rank_tie_breakingr  Y  s>   4DAq ()JsuPTUK&aZDM . N

1a''
 	()!,j9J.KA.N	
 	)*1-z:L/Ma/P	
 ;;()!,j9J.KA.N
 	
 
 ;;)*1-z:L/Ma/P
 	
 
 	F../@A9M'Nra   c                      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       = y )Nrx   r   r   r   r   )r   r   r   r   rx   r   r   r   param_random_state)rI   rH   r-   r)   rj   rT   r   )rh   r   
estimatorsest_parametersr   estr   s          r^   !test_search_cv_results_none_paramr  {  s    C!qcA3$oqA')+A+CDJ$q$i0N	B U"
 #a)	 	
 	;223GH1d)TUra   z+ignore::sklearn.exceptions.FitFailedWarningc                     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PJ  dD ]W  }|j                  |   d   dk\  sJ |j                  |   d   dk(  sJ t	        j
                  |j                  |   dk        rWJ  t        |d      sJ t        |j                  t              sJ |j                  dk\  rJ  y )Nr   r   rx   r   r   r   )r   rx   rx   r   r   r   )r   r   r   )r  r  )r  r  rz   refit_time_)rD   r)   r2   rj   rd   r  r   r   r   r  float)svcrh   r   r   rsrR  r  s          r^   test_search_cv_timingr    s   

#C 	
 	
 	
 	
	A 	A	cC!Q=QA	>B	C#1v1!A	NBr( '

1a4 	7C 66&,,S1Q677766&,,S1A5666		7 9 	7C%%c*1-222%%c*1-44466&,,S1A5666	7
 v}---&,,e444!!Q&&&'ra   c            
         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 ]  \  }}|j                  |       t        j                   t        |       D cg c]  }|j                  d|z     |    c}      }t        |
j#                  ||            D ]~  \  }\  }}|j                  ||   ||          |dk(  r"t%        ||   |j'                  ||               }n(|dk(  r#|j)                  ||         }t+        ||   |      }t-        ||             y c c}w )Nr   r   r   r   r   r   )r]  r  r   )r   r   )r  r  c              3   &   K   | ]	  }d |z    yw)r<  Nr   )r   cv_is     r^   r   z9test_grid_search_correct_score_results.<locals>.<genexpr>  s      G
,0 4'G
s   r  )r   r<  r]  r  )rD   r   r)   rj   r   r   r  r   r   r  rd   isinr3   r?  	enumerater   r   splitr#   rp   r   r'   rR   )r  r   rh   r   r  r{   r   r  result_keysexpected_keysr   candidate_ir   rD  	cv_scoresr   traintestcorrect_scoredecs                       r^   &test_grid_search_correct_score_resultsr    s   H

#C1a0DAq	B" A"3b	5XN __Q*66
 :??,-> G
49(OG
 B
 
 277=+6777h/(('m 	ANKNNQN #8_  ++,@1,DEkRI %.bhhq!n$= A =E4%!E(+D=$,QtWckk!D'6J$KMi'//$8C$1!D'3$?M#M9Q<@A	AA s   G
c                  6   t               } t        | dg didd      }|j                  t        t               t        j                  t        j                  |            }t        |j                  t              |j                  t                     t        | dg diddd      }|j                  t        t               t        j                  t        j                  |            }t        |j                  t              |j                  t                     y )Nr\   r   Tr   r-  r   )r&  r   r   )rX   r)   rj   rh   r   pickleloadsdumpsrS   rp   r2   )r   r   grid_search_pickledr)  random_search_pickleds        r^   test_pickler    s    

Cs[)$<DQOKOOAq ,,v||K'@Ak11!46I6Q6QRS6TU&k9%T!M a"LLm)DEa "7"?"?"Bra   c            	         t        dd      \  } }dg di}t               }t        d      t        d      g}|D ]  }t	        |||      }|j                  | |       |j                  d   }t        t        |            D ]  } |j                  di ||    t        |j                  | |            D ]W  \  }	\  }
}|j                  | |
   ||
          |j                  | |   ||         }t        ||j                  d	|	z     |          Y   |D ]  }t        |||d
      }|j                  | |       |j                  d   }t        t        |            D ]  } |j                  di ||    t        |j                  | |            D ]W  \  }	\  }
}|j                  | |
   ||
          |j                  | |   ||         }t        ||j                  d	|	z     |          Y   y )NTr   )return_indicatorr   rm  )rx   r   r   r   r   r   r   r<  r   )r   r   r   )r   r-   rI   rH   r)   rj   r   r   rc   r   r  r  r{   rR   r2   )rh   r   r  r   r  r  r   
res_paramscand_ir   r  r  r  r)  s                 r^   &test_grid_search_with_multioutput_datar    s
    *4aPDAq!<0N	B 	1-A.J  "32>1 ,,X6
C
O, 		FCNN0Z/0$-bhhq!n$=  =E4%!E(+ #		!D'1T7 ;#!++,@1,DEfM			   *32aP!Q"..x8
C
O, 		FCNN0Z/0$-bhhq!n$=  =E4%!E(+ #		!D'1T7 ;#!!--.BQ.FGO			ra   c                      t        j                  d      j                  dd      } g d}t        d      }t	        |i d      j                  | |      }t        |d	      rJ y )
Nrs  r   r   r   r   rx   rx   rx   F)rV  r   r   r   )rd   r   r   rC   r)   rj   r   rh   r   r   r   s       r^   test_predict_proba_disabledr    sY    
		"a$AA
%
 C	c2!	$	(	(A	.Br?++++ra   c                  L   t        j                  dt         j                        j                  dd      } t         j                  | dd d f<   g d}t        dt        dt         j                  	      fd
t               fg      }t        |dg did      j                  | |       y )Nrs  r;  r   r   r   r  imputerrW  )strategymissing_values
classifierclassifier__foo_paramr   r   )
rd   r   r  r   nanr=   r   rX   r)   rj   )rh   r   r   s      r^   test_grid_search_allows_nansr  !  s    
		"BJJ'//26AffAadGAvbffMN>+,	
	A ,i8Q?CCAqIra   c                   2    e Zd ZdZdZddZddZd Zd	dZy)
FailingClassifierz,Classifier that raises a ValueError on fit()r   Nc                     || _         y rZ   rx  rz  s     r^   r_   zFailingClassifier.__init__4  r`   ra   c                 T    | j                   t        j                  k(  rt        d      y )Nz%Failing classifier failed as required)ry  r  FAILING_PARAMETERr   r}  s      r^   rj   zFailingClassifier.fit7  s'    >>.@@@DEE Ara   c                 F    t        j                  |j                  d         S rl   r  rr   s     r^   rp   zFailingClassifier.predict;  r  ra   c                      y)Nrz   r   rg   s      r^   r{   zFailingClassifier.score>  s    ra   rZ   r   )	r   r   r   r   r  r_   rj   rp   r{   r   ra   r^   r  r  /  s     6#F$ra   r  c            	         t        ddd      \  } }t               }t        |dg digddd	
      t        j                  dt        j
                        }t        j                  t        |      5  j                  | |       d d d        t        j                  d         }fdt        fdt        |      D              sJ t        |dg digddt        d      
      t        j                  dt        j
                        }t        j                  t        |      5  j                  | |       d d d        t        j                  d         }t        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   IxY w# 1 sw Y   xY w)Nrs  r   r   r>  ry  r   rx   r   r   Frz   r   r&  r   z5 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flagsr   r   c                     t        j                  t        j                        D cg c]  }j                  d|z     |     c}      S c c}w )Nr<  )rd   r   r   r?  r   )r   rD  r   s     r^   get_cand_scoresz<test_grid_search_failing_classifier.<locals>.get_cand_scoresd  sB    xxBGBUVQR^^0145a8V
 	
Vs   Ac              3      K   | ]E  }j                   d    |   t        j                  k(  r t        j                   |      dk(         G yw)param_parameterrz   N)r   r  r  rd   r  r   r  r  r   s     r^   r   z6test_grid_search_failing_classifier.<locals>.<genexpr>j  sL      	
~~/08 223 FF?6*c12	
s   AAr  z5 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      K   | ]U  }j                   d    |   t        j                  k(  r0t        j                  t        j
                   |                   W yw)r  N)r   r  r  rd   r  isnanr  s     r^   r   z6test_grid_search_failing_classifier.<locals>.<genexpr>  sP      >>+,V4../ 	rxx/01s   AAr  r   rx   r   )r   r  r)   rP  compileDOTALLr   warnsr   rj   rc   r   r  r   r  r  r.  )rh   r   r   warning_messager+  ranksr  r   s         @@r^   #test_grid_search_failing_classifierr  B  s    KDAq

C 

y	!"
B jj	 iiO 
&o	> 
q!r~~h/0L

 	
-	
   

y	!"%L
B jj	 iiO 
&o	> 
q!r~~h/0L L)    NN,-E 8q=U1X]**&&'1,,,>>S22222e D s   3G)GGG#c                  N   t        ddd      \  } }t               }t        |dt        j                  gdz  igd      }t	        j
                  d	t        j                  
      }t        j                  t        |      5  |j                  | |       d d d        y # 1 sw Y   y xY w)Nrs  r   r   r>  ry  r   rz   r   zrAll the 15 fits failed.+15 fits failed with the following error.+ValueError.+Failing classifier failed as requiredr  r   r   r  r)   r  rP  r  r  r   r   r   rj   )rh   r   r   r   r  s        r^   )test_grid_search_classifier_all_fits_failr    s    KDAq

C	
);;<q@	AB
B jjH iiO 
z	9 
q!  s   ?BB$c                      t        ddd      \  } }t               }t        |dg digddd	
      }t        j                  t
              5  |j                  | |       d d d        y # 1 sw Y   y xY w)Nrs  r   r   r>  ry  r  r   Fr   r  )r   r  r)   r   r   r   rj   r  s       r^   )test_grid_search_failing_classifier_raiser    sq     KDAq

C 

y	!"
B 
z	" 
q!  s   
A&&A/c                     ddgg dddddgig} t        | d	      }d}d
}d|||fz  }t        j                  t        |      5  t	        |       d d d        t        | d
	      }t	        |      }t        |      d
k(  sJ t        |       D ]  }||v rJ  t        t        | d	            d
k(  sJ t        d      t        d      t        d      d} t        | dd      }t	        |      }t        |      dk(  sJ |D cg c]  }d|d   |d   |d   fz   }}t        t        |            dk(  sJ t        d      g dd}	t        |	d	      }t	        |      }t        |      dk(  sJ y # 1 sw Y   xY wc c}w )Nr   rx   )abc)firstsecondthirdtwovaluesr  r   r  z}The total space of parameters %d is smaller than n_iter=%d. Running %d iterations. For exhaustive searches, use GridSearchCV.r     r   c   r  )r   r   z	a%db%dc%dr  r  r  r   r  )
r1   r   r  UserWarningr   rc   r0   r   r   r
   )
r   r  r   	grid_sizeexpected_warningr  r  r   hashable_samplesparams_distributions
             r^   #test_parameters_sampler_replacementr    s    a&O4	5(#$F va0GFI	14=vy3Q	R 
 
k)9	: W va0G7mGw<1' !   !t45::: 95959=FvbrBG7mGw<2HOP1qvqvqv&>>PPs#$%+++ %.cNoN21=G7mGw<1/   Qs   E+?E8+E5c                     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 )Nlosslog_loss   r   r   r   r   r   rx   rx   rx   hinge)r  r   r  r   r   r   )	rd   r   r   r)   r    r   rj   r   r   )r   rh   r   r   s       r^   #test_stochastic_gradient_loss_paramr    s     	J 			"a$AA
W-*C sO,,,GGAqMa!
 		J W-*C sO,,,GGAqMsO,,,,ra   c                      t        j                  d      j                  dd      } g d}t        d      }t	        |dddgid	
      }|j                  | |       y )Nr   r   r  r   r   r   r   r  r   )r   r   )rd   r   r   rD   r)   rj   r  s       r^   %test_search_train_scores_set_to_falser    sO    
		!Q#AA

#C	csS#J&7A	>BFF1aLra   c            
         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|	|
 c}
}	|j                  j                         D 	
ci c]  \  }	}
|	j                  d      r|	|
 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     |    c}||<   5 t!        |d   |d          t!        |d   |d          k y c c}
}	w c c}
}	w c c}w )Nr   r   r   r  r   r   )r   r  g333333?)r  r  T)r   r   r   r  )r  r:  r   c                 6    dD ]  }| j                  |        | S )N)r  r  r  r  )pop)r  r  s     r^   _pop_time_keysz>test_grid_search_cv_splits_consistency.<locals>._pop_time_keys:  s)    
 	 C NN3	  ra   r`  )r   r   r  r  )r  r:  )r  r  r   zsplit%d_%s_scorerx   r   r   )r   r)   rD   r8   rj   r-   r   r  r	   rd   rc  rd  r   r   re  r   rS   )r  r  rh   r   r   gs2gs3gs4r  r$  ri  
score_typeper_param_scoresparam_irD  s                  r^   &test_grid_search_cv_splits_consistencyr    s   IHCDAq	q!)H	B	
B FF1aL
q!)(#	C GGAqM xA>DDQJ   q!)(DqAGG1M	C GGAqM
q!)(DqA	C GGAqM JJs')H JJ....0L$!Q

78KAL////1M$!QG9LAM 
q!-.(D1	
B FF1aL ( 	L
Qx 	G q) 1Q
OCDWM)W%	 	""21"57G7JK!"21"57G7JK	L# 	MM&)s   5K
K
4K
K
7Kc                      t               } t        | dg didd      }|j                  t        t               |j                  |j                  t                    }t        t        |       y )Nr\   r   r   r   r   )rX   r)   rj   rh   r   rv   rs   rT   )r   r   X_round_trips      r^   +test_transform_inverse_transform_round_tripr   n  sR    

Cs[)$<ANKOOAq001F1Fq1IJLq,'ra   c                    	 d 	fd G fddt               } t        d      t        ddd	      \  	 | d
      j                  	      } dddgidddgig      }|j                  } ||       t        |      D ]G  }|d   j                         s|dd  dk(  s |dvs%t        ||      t        ||      k(  r?J d|z          y )Nc                 h   |j                   }t        | j                               t        |      k(  sJ | D ]z  }|j                  d      rt	        j
                  | |         | |<   | |   j                  j                  dk(  rt        ||   | |   d|z          dt        ||   | |   d|z          | y )Nr`  r(  z	Checking )r   )
r   r   r  re  rd   
asanyarrayr  r  rT   rQ   )resultsgscvexp_resultsr$  s       r^   check_resultsz-test_custom_run_search.<locals>.check_resultsx  s    &&glln%)<<<< 		YA::g&]]71:6
1:##((C/&#A
K!O $KNGAJVWX		Yra   c                 @    t        | d      j                        S )NTr   )r)   rj   )r   rh   r   r   s    r^   fit_gridz(test_custom_run_search.<locals>.fit_grid  s    CEII!QOOra   c                   ,     e Zd Z fdZfdZ xZS ).test_custom_run_search.<locals>.CustomSearchCVc                 &    t        |   |fi | y rZ   superr_   r]   r  kwargsrp  s      r^   r_   z7test_custom_run_search.<locals>.CustomSearchCV.__init__      GY1&1ra   c           	           |ddiddig      } | dddgi              |ddiddig      } | dddgidddgig             y )Nrm  rx   r   min_samples_splitr   r   r   )r]   evaluater  r  r
  s      r^   _run_searchz:test_custom_run_search.<locals>.CustomSearchCV._run_search  s{    a 0;2BCDG'8[1a&,A#BC!4a 8;NPR:STUG;A/2E2w1OPQra   )r   r   r   r_   r  __classcell__)rp  r  r
  s   @r^   CustomSearchCVr    s    	2	 	ra   r  r   r   r   r   )r  n_informativer   Tr	  rm  rx   r   r  r   r   r   r  >   r  rf   r   r  r   zAttribute %s not equal)r6   rI   r   rj   r   dirislowerr3  )
r  mycvr  r  attrrh   r  r   r
  r   s
        @@@@@r^   test_custom_run_searchr  w  s    YP   Q
/CAANDAq#$7;;AqADkAq6*-@1b',JKLDG'4 D	 GOORS	S  4&'$*== (4/=ra   c                  @    G d dt               }  | t                     j                  t        t                G d dt               }t        j                  t        d      5   |t                     j                  t        t               d d d        y # 1 sw Y   y xY w)Nc                   &     e Zd Z fdZddZ xZS );test__custom_fit_no_run_search.<locals>.NoRunSearchSearchCVc                 &    t        |   |fi | y rZ   r  r  s      r^   r_   zDtest__custom_fit_no_run_search.<locals>.NoRunSearchSearchCV.__init__  r  ra   c                     | S rZ   r   )r]   rh   r   r  
fit_paramss        r^   rj   z?test__custom_fit_no_run_search.<locals>.NoRunSearchSearchCV.fit  s    Kra   r   )r   r   r   r_   rj   r  rp  s   @r^   NoRunSearchSearchCVr!    s    	2	ra   r&  c                        e Zd Z fdZ xZS )3test__custom_fit_no_run_search.<locals>.BadSearchCVc                 &    t        |   |fi | y rZ   r  r  s      r^   r_   z<test__custom_fit_no_run_search.<locals>.BadSearchCV.__init__  r  ra   )r   r   r   r_   r  r%  s   @r^   BadSearchCVr(    s    	2 	2ra   r*  z_run_search not implemented.r   )r6   rC   rj   rh   r   r   r   NotImplementedError)r&  r*  s     r^   test__custom_fit_no_run_searchr,    sq    l  ""1a(2l 2 
*2P	Q %CEq!$% % %s   ")BBc                  F   t        d      j                  t              } | D cg c]  }| 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  r   r$  r  r  r   r   r   n_jobszNNo fits were performed. Was the CV iterator empty\? Were there no candidates\?r   )
r-   r  rh   r2   r   r   r   r   rj   r   )r   u
train_sizeridges       r^   test_empty_cv_iterator_errorr4    s     
		 	 	#B O1QO Juw2D(E"UVWE 
*
 2 			!KZ.!KZ.12 2 2 2s   	B(!BB c                      G d dt               }  | d      }d}t        t               dg di|d	      }t        j                  t
        d
      5  |j                  t        d | t        d |        d d d        y # 1 sw Y   y xY w)Nc                       e Zd Zd Zy).test_random_search_bad_cv.<locals>.BrokenKFoldc                      y)Nrx   r   )r]   argskws      r^   get_n_splitsz;test_random_search_bad_cv.<locals>.BrokenKFold.get_n_splits  s    ra   N)r   r   r   r;  r   ra   r^   BrokenKFoldr7    s    	ra   r<  r   r  r   r$  r.  r   r/  zXcv.split and cv.get_n_splits returned inconsistent results. Expected \d+ splits, got \d+r   )	r-   r2   r   r   r   r   rj   rh   r   )r<  r   r2  r3  s       r^   test_random_search_bad_cvr=    s    e 
 
a	 BJuw2D(E"UVWE 

 2 			!KZ.!KZ.12 2 2s   !A;;Br   F)r   r   r   r  r   c                    t        dd      \  }} G d d      } | t               f |       d|d|}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"J  |j                  d   j                         }t        j                  |j                  d         }t        |j                  d   |   |       t        j                  |j                  d   |    |k        sJ y # 1 sw Y   xY w)Nr   r   )r	  r   c                       e Zd ZdZd Zd Zy)Htest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorerz1Scorer that will fail for some split but not all.c                     d| _         y rl   )n_countsr   s    r^   r_   zQtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorer.__init__  s	    DMra   c                 r    | xj                   dz  c_         | j                   dz  dk(  rt        j                  S y)Nrx   r   r   )rB  rd   r  )r]   r  rh   r   s       r^   __call__zQtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorer.__call__  s-    MMQM}}q A%vvra   N)r   r   r   r   r_   rD  r   ra   r^   FailingScorerr@  
  s    ?		ra   rE  r   )r   r   r   r  r  zOne or more of the z scores are non-finiter  r  )r   rH   r   r  r  rj   rc   zipr6  messager   maxrd   r  rT   r  )r   rB  r   rh   r   rE  r   warn_msgset_with_warningmsgdataset	last_ranknon_finite_masks                r^   1test_searchcv_raise_warning_with_non_finite_scorerO    sa   $ ;DAq
 
  -	
 D 
k	" hA -?(VHx=C 01111H&67 YW$WI-CDCKKHXXXXY   !23779Ihht//0ABCOt''(9:?KYW66$""#456FG)STTT s   EEc                  v   d } t        ddd      \  }}t        d      }t        |ddd	gi| d
      }|j                  ||       g d}|D ]!  }dj	                  |      |j
                  v r!J  |j                  |      }t        ||      }|j                  ||      t        j                  |d         k(  sJ y )Nc                 b    | j                  |      }t        ||      }|d   |d   |d   |d   dS )N)r   r   r   rx   )rx   r   rx   rx   tnfpfntp)rp   r"   )r   rh   r   rX  cms        r^   custom_scorerzAtest_callable_multimetric_confusion_matrix.<locals>.custom_scorer1  s:    Qa(hbhbhbhOOra   (   r   r  r>  r   r   r   rx   rV  r  rT  zmean_test_{}rR  )r   rD   r)   rj   formatr   rp   r"   r{   r   r@  )	rZ  rh   r   r  rR  score_namesnamerX  rY  s	            r^   *test_callable_multimetric_confusion_matrixr_  .  s    P
 KDAq

$C#c1XTRF
JJq!*K A$$T*f.@.@@@@A ^^AF	!V	$B<<1r$x!8888ra   c                     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                 V    | j                  |      }t        ||      t        ||      dS )N)r0  r   )rp   r&   r!   r  rh   r   rX  s       r^   rZ  zHtest_callable_multimetric_same_as_list_of_strings.<locals>.custom_scorerG  s-    Q"1f-&q&1
 	
ra   r[  r   r  r>  r   r   r   rx   r0  r  r   	r   rD   r)   rj   rk  r   r@  r.  r{   )rZ  rh   r   r  search_callable
search_strs         r^   1test_callable_multimetric_same_as_list_of_stringsrf  E  s    
 KDAq

$C"cC8_m8O cC8_x&<HJ 1NN1a&&&--
8N8N*OOOO&&**@*@@@@  A&&--
8H8HA8N*OOOOra   c                  0   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                 <    | j                  |      }t        ||      S rZ   )rp   r&   rb  s       r^   rZ  zHtest_callable_single_metric_same_as_single_string.<locals>.custom_scorera  s    QAv&&ra   r[  r   r  r>  r   r   r   rx   Tr  r0  rc  )rZ  rh   r   r  rd  re  search_list_strs          r^   1test_callable_single_metric_same_as_single_stringrj  _  s   ' KDAq

$C"cC8_m4O cC#q?HHUJ"cC8_xjO 1NN1a1&&&--
8N8N*OOOO&&**@*@@@@  A&&--
8H8HA8N*OOOO&&&--
8N8N*OOOO&&**@*@@@@  A&&--
8H8HA8N*OOOOra   c                      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                 
    ddiS )Nbad_namerx   r   r  rh   r   s      r^   
bad_scorerzBtest_callable_multimetric_error_on_invalid_key.<locals>.bad_scorer}  s    Ara   r[  r   r  r>  r   r   r   rx   	good_namer  z`For multi-metric scoring, the parameter refit must be set to a scorer key or a callable to refitr   )r   r)   rD   r   r   r   rj   )ro  rh   r   r   rK  s        r^   .test_callable_multimetric_error_on_invalid_keyrq  {  sz     KDAq
r"	sAh	C	,  
z	- 1  s   A++A4c                  n   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   %xY w)Nc                 
    ddiS Nr1  rx   r   rn  s      r^   rZ  zBtest_callable_multimetric_error_failing_clf.<locals>.custom_scorer      qzra   rs  r   r   r>  ry  r  Fr   r  zm5 fits failed.+total of 15.+The score on these train-test partitions for these parameters will be set to 0\.1r  r   mean_test_acc)rx   rx   r   )r   r  r)   rP  r  r  r   r  r   rj   rQ   r   )rZ  rh   r   r   r   r  s         r^   +test_callable_multimetric_error_failing_clfrw    s     KDAq

C	
y	!"
B jj	KiiO
 
&o	> 
q! BNN?3[A s   4B++B4c                  b   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                 
    ddiS rt  r   rn  s      r^   rZ  zBtest_callable_multimetric_clf_all_fits_fail.<locals>.custom_scorer  ru  ra   rs  r   r   r>  ry  r   Fr   r  z1ValueError: Failing classifier failed as requiredz5All the 15 fits failed.+your model is misconfigured.+r  r   r  )rZ  rh   r   r   r   individual_fit_error_messager   s          r^   +test_callable_multimetric_clf_all_fits_failr{    s     KDAq

C	
);;<q@	AB
B $W JJC+,. iiM 
z	7 
q!  s   	B%%B.c                  >   d} t        |       \  }}t               }dddgi}t        ||      }t        ||d      }t	        |d      rJ t	        |d      rJ |j                  ||       |j                  ||       |j                  | k(  sJ |j                  | k(  sJ y )Nr   r?  max_iterr   rx   r   n_features_in_)r   r   r)   r2   r   rj   r  )r?  rh   r   gbdtr   r   r  s          r^   test_n_features_inr    s     J*5DAq)+Dq!f%J	dJ	'B	D*Q	7Br+,,,r+,,,FF1aLFF1aL
***
***ra   pairwisec                       G  fddt               } |       }d}t        |ddgi      } |j                         j                  j                  k(  sJ |       y)z
    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                   "     e Zd Z fdZ xZS )Stest_search_cv_pairwise_property_delegated_to_base_estimator.<locals>.TestEstimatorc                 F    t         |          }|j                  _        |S rZ   )r  __sklearn_tags__
input_tagsr  )r]   tagsrp  r  s     r^   r  zdtest_search_cv_pairwise_property_delegated_to_base_estimator.<locals>.TestEstimator.__sklearn_tags__  s!    7+-D'/DOO$Kra   )r   r   r   r  r  )rp  r  s   @r^   TestEstimatorr    s    	 	ra   r  z.BaseSearchCV pairwise tag must match estimatorrt  r   N)r   r)   r  r  r  )r  r  r  attr_messager   s   `    r^   <test_search_cv_pairwise_property_delegated_to_base_estimatorr    sX      /CCL	cMB40	1Br**,77@@@N,N@ra   c                       G d dt               }  |        }d}dD ]Q  }|j                  |       t        |ddgi      }||j                         j                  j
                  k(  rLJ |        y)	z
    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                   &     e Zd ZddZ fdZ xZS )Xtest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwisec                     || _         y rZ   r  )r]   r  s     r^   r_   zatest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwise.__init__  s	    $DMra   c                 Z    t         |          }| j                  |j                  _        |S rZ   )r  r  r  r  )r]   r  rp  s     r^   r  zitest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwise.__sklearn_tags__  s%    7+-D'+}}DOO$Kra   )T)r   r   r   r_   r  r  r%  s   @r^   EstimatorPairwiser    s    	%	 	ra   r  z4BaseSearchCV _pairwise property must match estimatorrU  r  rt  r   N)r   r   r)   r  r  r  )r  r  r  _pairwise_settingr   s        r^   =test_search_cv__pairwise_property_delegated_to_base_estimatorr    s|    M  
CIL*  12#t45!4!4!6!A!A!J!JJ		J	ra   c                  t   d} d}t        | d      \  }}ddgi}t               }t        |||      }|j                  ||       |j	                  |      }t        |      }t        d	      }t        |||      }|j                  ||       |j	                  |      }	d
}
||	k(  j                         sJ |
       y)z
    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.
    r  r   r   r  rt  r   r   rh  )metricz2GridSearchCV not identical with precomputed metricN)r   r;   r)   rj   rp   r(   r  )r  r  rh   r   grid_paramsr   r   preds_originalX_precomputedpreds_precomputedr  s              r^   ;test_search_cv_pairwise_property_equivalence_of_precomputedr  	  s     IHCDAq 2$'K 
 C	c;8	4BFF1aLZZ]N (*M
m
4C	c;8	4BFF=!

=1GL//446DD6ra   zSearchCV, param_searchr  r   r  r   c                      G d dt         t              } |  |       |      }t        d      \  }}|j                  ||d       |j                  j
                  dk(  sJ y )Nc                   "    e Zd ZddZddZd Zy),test_scalar_fit_param.<locals>.TestEstimatorNc                     || _         y rZ   )r  )r]   r  s     r^   r_   z5test_scalar_fit_param.<locals>.TestEstimator.__init__5	  s	    DFra   c                     || _         y rZ   )r_)r]   rh   r   rs       r^   rj   z0test_scalar_fit_param.<locals>.TestEstimator.fit8	  s	    DGra   c                 @    t        j                  t        |            S )Nrm   )rd   r   rc   rr   s     r^   rp   z4test_scalar_fit_param.<locals>.TestEstimator.predict;	  s    883q6++ra   rZ   )r   r   r   r_   rj   rp   r   ra   r^   r  r  4	  s    			,ra   r  r  r   )r  )r   r   r   rj   r   r  )r   param_searchr  modelrh   r   s         r^   test_scalar_fit_paramr  ,	  sZ    , , ]_l3EB/DAq	IIabI  ##r)))ra   r$  c                     t        t        d      ddi\  }}}} G d dt              }d } |  |       |      }||f|dd}	 |j                  ||fi |	 y )Nr  r   r   c                   (     e Zd Z	 	 	 	 d fd	Z xZS )9test_scalar_fit_param_compat.<locals>._FitParamClassifierc                     t         |   |||       |dkD  sJ t        |      sJ t        |t              sJ |d   j
                  dk(  sJ |d   j
                  dk(  sJ | S )N)sample_weightr   r   rx   )r  rj   callabler   r   ndim)r]   rh   r   r  tuple_of_arraysscalar_paramcallable_paramrp  s          r^   rj   z=test_scalar_fit_param_compat.<locals>._FitParamClassifier.fitW	  s|     GK1MK:!###N+++ ou555"1%**a///"1%**a///Kra   NNNN)r   r   r   rj   r  r%  s   @r^   _FitParamClassifierr  V	  s    
  	 	ra   r  c                       y rZ   r   r   ra   r^   _fit_param_callablez9test_scalar_fit_param_compat.<locals>._fit_param_callablej	  s    ra   )r  r  r  )r5   r   r    rj   )
r   r  X_trainX_validrn  y_validr  r  r  r$  s
             r^   test_scalar_fit_param_compatr  D	  sx     *:	"	-*<>*&GWgwm ( (*L9E $W--J
 EIIgw-*-ra   z)ignore:The total space of parameters 4 is	Predictorc                    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
} | ||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      r   r   rx   rs  transformer	predictorr   )transformer__parampredictor__paramar   r  )rd   r  r  randnr   r=   rO   rj   r   r  rp   r   rT   r{   r   r@  r!   rQ   rW  r%   )	r   r  r  rh   r   r  r   rR  rX  s	            r^   1test_search_cv_using_minimal_compatible_estimatorr  ~	  sB    ))


"C99RRXXqcAgb&89qA
+-	.ik0JKE
  !"gWF eV9F
JJq!##%666^^AFV61%||Aq!V]]>!V3L%MMMM)||Aq!V]]8Av3F%GGGGra   c                 >   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.r   r   r  r   r  r   r   r   r   r   )r   r   r   r   z$score=\(train=[\d\.]+, test=[\d.]+\)zscore=[\d\.]+N)	r   rD   r)   rj   
readouterroutrP  findallrc   )capsysr   rh   r   r   r   capturedr   s           r^   test_search_cv_verbose_3r  	  s     #TUVDAq

#C#<D- 
c!Qi  "&&H

BHM

+X6u:??ra   r  c                 R   t        d      \  }}t               gdgd}|d   d   j                  }t        dt	               fdg      }||i} | |fd	d
dd|j                  ||      }|d   d   j                  |k(  sJ |j                  j                  d   j                  dk(  sJ y )Nr  r   r  )r   clf__Cr   r   trs)r   NTr   r   r&  r   r   )r   rD   r   r=   rO   rj   r   named_steps)	r   r  rh   r   r   orig_Cr   param_grid_searchr   s	            r^   test_search_estimator_paramr  	  s     B/DAqk]tf5FE]1Fe/12MBCD%v.	$	Rdq*	R@Q	R	V	V	1
B
 %='''))%022d:::ra   c            	      ^   ddd} t        dt               fdt               fg      }t        || dddd	d
      }g d}g d}|j	                  ||       |j
                  d   }t        j                  dt              }g d|d d  t        j                  j                  |j                  |       y )N)rS  rx   r   )l1l2)vect__ngram_range
vect__normvectr   r   r   r   rx   )r  r  r   r   r0  r   r   )oner  threefourfive)r   r   rx   r   rx   param_vect__ngram_ranger;  )r  r  rS  )r=   r   r9   r2   rj   r   rd   r   objectrc  rT   r   )parameter_gridpipeliner)  
data_traindata_targetresultexpected_datas          r^   test_search_with_2d_arrayr  	  s    -"N _&'LN#	
H '*M 9J!Kj+.&&'@AFHHQf-M/M!JJ!!&++}=ra   c                  l   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   xY w# 1 sw Y   hxY w# 1 sw Y   y
xY w)z5Test different HTML representations for GridSearchCV.r  r   r1  r   F)r   r&  diagram)displayz<pre>DummyClassifier()</pre>NTz<pre>LogisticRegression()</pre>)	r   r=   rB   r   r   r)   r   _repr_html_rj   )rh   r   r  r   r  	repr_htmls         r^   test_search_html_reprr  	  sA   B/DAq'>#34uo>O6PQRH/+-?-ABCJ X*EJI			* ;))+	-:::;
 MM!Q			* ;))+	-:::;
 X*DIIMM!Q			* >))+	-Y>>>0I===> >; ;; ;> >s$   !DD+D*DD'*D3c                    t               } | |dg didd      }|j                  t        t              j	                  t              }t        j                  t        d      5  |j                          d d d        t        j                  t        d      5  |j                  ||	       d d d        t        j                  d
      5  t        j                  d       |j                  |       d d d        t        j                  t        d      5  |j                  |       d d d        y # 1 sw Y   xY w# 1 sw Y   xY w# 1 sw Y   XxY w# 1 sw Y   y xY w)Nr\   r   r   r   r   z$Missing required positional argumentr   z$Cannot use both X and Xt. Use X only)rh   XtT)recorderrorzXt was renamed X in version 1.5)r  )rX   rj   rh   r   rs   r   r   r   rv   warningscatch_warningssimplefilterr  FutureWarning)r   r   rR  X2s       r^   %test_inverse_transform_Xt_deprecationr  
  s    

CcK31EF	Aq		#	#A	&B	y(N	O #  "# 
y(N	O .  2" -. 
	 	 	- %g&  $% 
m+L	M (  B '( (# #. .% %( (s0   #D/D;	'EE/D8;EEE)enable_metadata_routingc           	         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|	j                  ||||       t        |
      sJ |
D ]  }t        |ddd	||        y)zMTest that *SearchCV forwards metadata correctly when passed multiple metrics.r  r   r   r   rx   )registryscore_weightsscore_metadata)r  metadatar   )	my_scorerr   r   r  )r  r  r{   _score)objrl  parentsplit_paramsr  r  N)r   rV   rd   r  r  randrD   rF   rE   set_score_requestr  rj   rc   rG   )r   r  rh   r   r  r  r  r  r  r  scorer_registryscorerr   _scorers                 r^   *test_multi_metric_search_forwards_metadatar  $
  s    B/DAqQI
))


"CHHY'MXXi(N
+C%aSz2kOo6HH%0@ I F Vj9GSO
q'O=NOSS	1M. T  " 
6'#	

ra   c                    t        d      \  }}t               }|ddgii} | |fddi|j                  ||      }t        j                  t
        d      5  |j                  ||d	       d
d
d
       y
# 1 sw Y   y
xY w)z{*SearchCV should reject **params when metadata routing is not enabled
    since this is added only when routing is enabled.r  r   r   rx   r   r   zis only supported ifr   )r  N)r   rD   rj   r   r   r   r{   )r   r  rh   r   r  r  r   s          r^   1test_score_rejects_params_with_no_routing_enabledr  K
  s     B/DAq
+C%aSz2	#	1!	10	1	5	5a	;B	z)?	@ #
A"# # #s   A55A>c                  ,    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}t         | t                     |d      }t	        d      \  }}|j                  ||       |D ]'  }|j                  d|    j                  t        k(  r'J  y)zQNon-regression test for https://github.com/scikit-learn/scikit-learn/issues/29074c                   *    e Zd Z	 	 	 	 ddZddZd Zy)8test_cv_results_dtype_issue_29074.<locals>.MetaEstimatorNc                 J    || _         || _        || _        || _        || _        y rZ   )base_clf
parameter1
parameter2
parameter3
parameter4)r]   r  r  r  r  r  s         r^   r_   zAtest_cv_results_dtype_issue_29074.<locals>.MetaEstimator.__init__h
  s'     %DM(DO(DO(DO(DOra   c                 >    | j                   j                  ||       | S rZ   )r  rj   r}  s      r^   rj   z<test_cv_results_dtype_issue_29074.<locals>.MetaEstimator.fitv
  s    MMa#Kra   c                 :    | j                   j                  ||      S rZ   )r  r{   r}  s      r^   r{   z>test_cv_results_dtype_issue_29074.<locals>.MetaEstimator.scorez
  s    ==&&q!,,ra   r  rZ   )r   r   r   r_   rj   r{   r   ra   r^   MetaEstimatorr  g
  s     	)		-ra   r  NoptionABrx   r   r  str1str2)r  r  r  r  r   r  r   r   param_)	r   r   r)   r   r   rj   r   r  r  )r  r   r   rh   r   r  s         r^   !test_cv_results_dtype_issue_29074r  d
  s    - -2 h_xo>aVnQxjv&	J  2 45K 1%DAqOOAq I&&w'78>>&HHHIra   c                     t        j                  d      } | j                  g dg dg dd      }|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.r  )rx   r   r   r   r   )r  r  r  r  r  )ry   gffffff@r%  g      @ry   )	numeric_1object_1targetr  rx   ry  encF)sparse_outputr  passthrough)	remainderr   enc__encr   r   param_enc__encN)r   importorskipr  dropr   r?   r=   r   r@   r)   rj   r   r  r  )pddfrh   r   r   r   r  r   s           r^   'test_search_with_estimators_issue_29157r*  
  s    			X	&B	(1/	

B 	q!A
8A

U3j\	BCC CL*,-	
D 	.
K t[Q7KOOAq""#34::fDDDra   c                     d} t        d      \  }}t        t        d      t                     }dD cg c]  }| |z  	 }}|D cg c];  }t	        j
                  dt        j                  dz  |      j                  d| f      = }}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}  periodic)extrapolation)r   r     r   r   r   splinetransformer__knotsrn  param_splinetransformer__knotsN)r   r>   rA   r   rd   linspacepir   r)   rj   r   r  r  )	r?  rh   r   spline_reg_piper   n_knots_listn_knots
knots_listspline_reg_pipe_cvs	            r^    test_cv_results_multi_size_arrayr8  
  s    
 J"-DAq#
3O
 -99qJN9L9 $ 	Aruuqy'*22B
3CDJ  &!&

 1a &&'GHNNRXXX :s   CA Czarray_namespace, device, dtypec                    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)Nr   )r   r   )devicer   r   rx   T)array_api_dispatchtol)r  r  g-C6?gh㈵>gư>gHz>r   r   r   )rP   rd   r   r   astypeasarrayr   r   r   rj   r{   )r   array_namespacer:  r  xprh   X_npX_xpy_npy_xpr   s              r^   #test_array_api_search_cv_classifierrE  
  s    
 
ov	6B
		#x(A88E?D::d6:*D 88QC!GqcAg%&D::d6:*D	4	0 #&(89	
 	T4 tT"# # #s   =CC#)r)  r  r  )r   r   )candidate_paramsexpected	param_foozsimple numeric, single param)idr   r   	param_bar)r   r   r   )FFTr3  z1simple numeric, one param is missing in one roundr;  zlists of different lengthszlists tuplesr  c                 L   t        t        |             }t        ||      D ]  \  \  }}\  }}||k(  sJ |j                  |j                  k(  sJ t        j
                  j                  ||       t        j
                  j                  |j                  |j                          y rZ   )r   r7   rF  r  rd   rc  rT   r)  )rF  rG  r  r  r4  expected_keyexpected_values          r^   &test_yield_masked_array_for_each_paramrN  
  s    l 45EFGF8;FH8M G4e4|^l"""{{n22222


%%e^<


%%ejj.2E2EF	Gra   c                      t        d      D  cg c]  } d| i }} 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  r  r  )r   r  r  r  RuntimeWarningr   r7   )r   rF  s     r^   *test_yield_masked_array_no_runtime_warningrQ  5  sm    .3Dk:!::		 	 	" Cg~6/0@ABC C ;C Cs   A'/A,,A5)r   )r   r  rP  r   r  collections.abcr   r   	functoolsr   ior   	itertoolsr   r   r  r	   numpyrd   r   scipy.statsr
   r   r   r   r   sklearn.baser   r   r   sklearn.clusterr   sklearn.composer   sklearn.datasetsr   r   r   sklearn.discriminant_analysisr   sklearn.dummyr   sklearn.ensembler   sklearn.exceptionsr   sklearn.experimentalr   sklearn.feature_extraction.textr   sklearn.imputer   sklearn.linear_modelr   r   r   r    sklearn.metricsr!   r"   r#   r$   r%   r&   r'   sklearn.metrics.pairwiser(   sklearn.model_selectionr)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   sklearn.model_selection._searchr6   r7   $sklearn.model_selection.tests.commonr8   sklearn.naive_bayesr9   sklearn.neighborsr:   r;   r<   sklearn.pipeliner=   r>   sklearn.preprocessingr?   r@   rA   rB   sklearn.svmrC   rD   %sklearn.tests.metadata_routing_commonrE   rF   rG   sklearn.treerH   rI   sklearn.utils._array_apirJ   sklearn.utils._mockingrK   rL   sklearn.utils._testingrM   rN   rO   rP   rQ   rR   rS   rT   sklearn.utils.fixesrU   sklearn.utils.validationrV   rX   r   r   rh   r   r   markparametrizer   r   r   r   r   r   r  r  r"  r'  r*  r;  rC  rL  rN  rS  r[  rf  rq  rt  rv  filterwarningsr  r  r  r  r  r  r  r  r  r  r  r  r   r  r.  r7  rK  rP  rZ  rN  rX  rr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r,  r4  r=  rO  r_  rf  rj  rq  rw  r{  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r*  r8  rE  one_hot_encoderordinal_encoderr  r  r   r  ma_with_tuplesr  rN  rQ  r   ra   r^   <module>r{     s
     	 
  +   $    1 1 " F F " - 
 E ) ; / 9 ; (    9    A , U U 4  ' 
 G N D	 	 	 / 1
$_m $Ny  BHHr2hR1a&1a&12BHH\= =':JSU2V"WX&	
IKL1#,	I'JKAJF	
	 Y
!/H2<$ l4F%GH< I<$(078>02	/(VF6%P .9 :* .9!( :!(H*:!$} $ OP
 Q
*+Z0 *RG4'9<&HI J 50+:/*//3>78$"84B,VW!tBJ "	sQGn56	cAr7^qQR5)5)p ?F!
H#LF& ,.!,q"g 6	
 	,.K!R;Q	
77 (6!.B 8	

 	(6%2w/	
BNDU IJ%' K%'P"AJ$+\,J &N3b,*%P-@\L~(6r%(2222 -t}="	{L&ABC%0,$?1M	
	*U	 >*UZ9.P4P8*B8<+" dE]3O 4O*:E< S3+&'*<sGAqM>R)ST*	*( 	#t-.	gwtS'9:;....f GHl4F%GH'79J&KLH M I IH8 -e}= >. 	|$	23	l+;;(>:>: l4F%GH( I(0 	|$	23 -
 .
> 	|$	23	l+
#
#"*IZEB> $&O&Q l4F%GH# I#0  / " ""8288A;T"Hq q  $QZ%$bee//!Q0@AB .	
 	q!1Q#7%Dbee//0CDEEE%%hbhhy&9@T%U C
	
 	qcA3_%aSz':;  EE%%aS1#!qc
&C6%R ,		
 	V_ufo.  " 		
 	_%'?@  EE%%&HPV%W 		
O14jGk4jGCra   