
    |h {                     n	   d dl Z d dlZd dlZd dlZd dlZd dlmZ d dl	m
Z
 d dlZd dlmZmZ d dlmZmZmZmZmZ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
l!m"Z" d dl#m$Z$ d dl%m&Z&m'Z' d dl(m)Z)m*Z* d dl+m,Z, d dl-m.Z. d dl/m0Z0m1Z1 d dl2m3Z3m4Z4  G d de      Z5 G d de      Z6 G d de      Z7 G d de      Z8 G d de      Z9 G d de8      Z: G d de8e9      Z; G d  d!e;      Z< G d" d#e      Z= G d$ d%e      Z> G d& d'      Z? G d( d)e      Z@d* ZAd+ ZBd, ZCd- ZDd. ZEd/ ZFd0 ZGd1 ZHd2 ZId3 ZJd4 ZKd5 ZLd6 ZMej                  j                  d7 e&       d8f e  e&       d9d:d;gi      d8f e"d< e&       fg      d8f e"d= e  e&       d9d:d;gi      fg      d8f e'       d>f e  e'       d9d:d;gi      d>f e"d? e'       fg      d>f e"d@ e  e'       d9d:d;gi      fg      d>fg      dA        ZPej                  j                  d7 e'       d8f e  e'       d9d:d;gi      d8f e"d? e'       fg      d8f e"d@ e  e'       d9d:d;gi      fg      d8f e&       d>f e  e&       d9d:d;gi      d>f e"d< e&       fg      d>f e"d= e  e&       d9d:d;gi      fg      d>fg      dB        ZQej                  j                  d7 e       d8f e  e       dCdDdEgi      d8f e"dF e       fg      d8f e"dG e  e       dCdDdEgi      fg      d8f e&       d>f e  e&       d9d:d;gi      d>f e"d< e&       fg      d>f e"d= e  e&       d9d:d;gi      fg      d>fg      dH        ZRdI ZSdJ ZTdK ZUej                  j                  dL e)dMd N       ej                  d O      f e*dMd N       ej                  d O      fg      dP        ZXdQ ZYdR ZZdS Z[ G dT dUe)      Z\dVZ]dW Z^ G dX dYe)      Z_dZ Z`d[ Za G d\ d]      Zb G d^ d_ebe      Zcd` Zdda Ze G db dce      Zfdd Zgde Zhdf Zidg Zjdh Zkdi Zldj Zmdk Zndl Zodm Zp G dn do      Zq G dp dqeqe      Zrej                  j                  dr e        er       g      ds        Zsdt Ztej                  j                  dug dv      dw        Zu ed8x      dy        Zv ed8x      dz        Zwd{ Zxy)|    N)assert_allclose)config_contextdatasets)BaseEstimatorOutlierMixinTransformerMixincloneis_classifieris_clustereris_outlier_detectoris_regressor)KMeans)PCA)IsolationForest)InconsistentVersionWarning)GridSearchCV)Pipeline)StandardScaler)SVCSVR)DecisionTreeClassifierDecisionTreeRegressor)MockDataFrame)_get_output_config)_convert_containerassert_array_equal)_check_n_featuresvalidate_datac                       e Zd ZddZy)MyEstimatorNc                      || _         || _        y Nl1empty)selfr$   r%   s      V/var/www/html/test/engine/venv/lib/python3.12/site-packages/sklearn/tests/test_base.py__init__zMyEstimator.__init__.   s    
    )r   N__name__
__module____qualname__r(    r)   r'   r    r    -   s    r)   r    c                       e Zd ZddZy)KNc                      || _         || _        y r"   )cd)r&   r2   r3   s      r'   r(   z
K.__init__4       r)   NNr*   r.   r)   r'   r0   r0   3       r)   r0   c                       e Zd ZddZy)TNc                      || _         || _        y r"   )ab)r&   r:   r;   s      r'   r(   z
T.__init__:   r4   r)   r5   r*   r.   r)   r'   r8   r8   9   r6   r)   r8   c                        e Zd Z fdZ xZS )NaNTagc                 F    t         |          }d|j                  _        |S )NTsuper__sklearn_tags__
input_tags	allow_nanr&   tags	__class__s     r'   rA   zNaNTag.__sklearn_tags__@   s!    w')$(!r)   r+   r,   r-   rA   __classcell__rF   s   @r'   r=   r=   ?        r)   r=   c                        e Zd Z fdZ xZS )NoNaNTagc                 F    t         |          }d|j                  _        |S NFr?   rD   s     r'   rA   zNoNaNTag.__sklearn_tags__G   !    w')$)!r)   rG   rI   s   @r'   rL   rL   F   rJ   r)   rL   c                        e Zd Z fdZ xZS )OverrideTagc                 F    t         |          }d|j                  _        |S rN   r?   rD   s     r'   rA   zOverrideTag.__sklearn_tags__N   rO   r)   rG   rI   s   @r'   rQ   rQ   M   rJ   r)   rQ   c                       e Zd Zy)DiamondOverwriteTagNr+   r,   r-   r.   r)   r'   rT   rT   T       r)   rT   c                       e Zd Zy)InheritDiamondOverwriteTagNrU   r.   r)   r'   rX   rX   X   rV   r)   rX   c                   <    e Zd ZdZ ej
                  dg      fdZy)ModifyInitParamsz_Deprecated behavior.
    Equal parameters but with a type cast.
    Doesn't fulfill a is a
    r   c                 .    |j                         | _        y r"   )copyr:   r&   r:   s     r'   r(   zModifyInitParams.__init__b   s    r)   N)r+   r,   r-   __doc__nparrayr(   r.   r)   r'   rZ   rZ   \   s    
 "1# r)   rZ   c                       e Zd ZdZddZy)Buggyz9A buggy estimator that does not set its parameters right.Nc                     d| _         y N   r:   r]   s     r'   r(   zBuggy.__init__i   s	    r)   r"   r+   r,   r-   r^   r(   r.   r)   r'   rb   rb   f   s
    ?r)   rb   c                   "    e Zd Zd ZddZddZy)NoEstimatorc                      y r"   r.   r&   s    r'   r(   zNoEstimator.__init__n       r)   Nc                     | S r"   r.   r&   Xys      r'   fitzNoEstimator.fitq   s    r)   c                      y r"   r.   r&   ro   s     r'   predictzNoEstimator.predictt   s    r)   r5   r"   )r+   r,   r-   r(   rq   rt   r.   r)   r'   ri   ri   m   s    r)   ri   c                       e Zd ZdZd Zy)VargEstimatorz-scikit-learn estimators shouldn't have vargs.c                      y r"   r.   )r&   vargss     r'   r(   zVargEstimator.__init__{   rl   r)   Nrg   r.   r)   r'   rv   rv   x   s
    7r)   rv   c                      ddl m} m}  | |d      }t        |      }||usJ |j	                         |j	                         k(  sJ  | |t        j                  d            }t        |      }||usJ y )Nr   	SelectFpr	f_classif皙?alpha)
      )sklearn.feature_selectionr{   r|   r	   
get_paramsr_   zerosr{   r|   selectornew_selectors       r'   
test_cloner      sv     ?#.H?L<''' L$;$;$===="((7*;<H?L<'''r)   c                  h    ddl m} m}  | |d      }d|_        t	        |      }t        |d      rJ y )Nr   rz   r}   r~   testown_attribute)r   r{   r|   r   r	   hasattrr   s       r'   test_clone_2r      s7     ?#.H#H?L|_5555r)   c                  *   t               } d| _        t        j                  t              5  t        |        d d d        t               }t        j                  t              5  t        |       d d d        t               }t        j                  t              5  t        |       d d d        t               }t        j                  t              5  t        |       d d d        y # 1 sw Y   xY w# 1 sw Y   xY w# 1 sw Y   YxY w# 1 sw Y   y xY w)Nr   )
rb   r:   pytestraisesRuntimeErrorr	   ri   	TypeErrorrv   rZ   )buggyno_estimatorvarg_estests       r'   test_clone_buggyr      s    GEEG	|	$ e =L	y	! l H	|	$ h 
C	|	$ c
     s/   C%"C1C=D	%C.1C:=D	Dc                  ~   t        t        j                  g             } t        |       }t	        | j
                  |j
                         t        t        j                  t        j                  dgg                  } t        |       }t	        | j
                  j                  |j
                  j                         y )Nr%   r   )	r    r_   r`   r	   r   r%   sp
csr_matrixdataclfclf2s     r'   test_clone_empty_arrayr      sq    
BHHRL
)C:Dsyy$**-
BMM"((QC5/:
;C:Dsyy~~tzz7r)   c                      t        t        j                        } t        |       }| j                  |j                  u sJ y Nr   )r    r_   nanr	   r%   r   s     r'   test_clone_nanr      s/    
BFF
#C:D99

"""r)   c                  J    dt               i} t        |       }| d   |d   usJ y )Nr:   )r    r	   )origcloneds     r'   test_clone_dictr      s-    D4[F9F3K'''r)   c            	         t        t              D  cg c]6  } | j                  d      r#t        t	        t        |       x}      t        u r|8 }} |D ]  } |t        j                  d            }t        |      }t        |      }|j                  j                  |j                  j                  u sJ t        |j                  j                         |j                  j                                 y c c} w )N_matrix   r   )dirr   endswithtypegetattrr_   eyer    r	   r%   rF   r   toarray)nameclssparse_matrix_classessparse_matrixr   
clf_cloneds         r'   test_clone_sparse_matricesr      s     G==#GB4E-ES(F$(N 	  % LBFF1I.3Z
yy""j&6&6&@&@@@@399,,.
0@0@0H0H0JKLs   ;C3c                  n    t        t               } t        |       }| j                  |j                  u sJ y r   )r    r	   r%   r   s     r'   test_clone_estimator_typesr      s-     K
(C:D99

"""r)   c                      d} t        j                  t        |       5  t        t               d d d        y # 1 sw Y   y xY w)Nz8You should provide an instance of scikit-learn estimatormatch)r   r   r   r	   r    )msgs    r'   %test_clone_class_rather_than_instancer      s5     EC	y	, k  s	   7A c                      t               } t        |        t        t               t                     }t        |      dk(  sJ t        dgdz        }t	        t        |            dk(  sJ y )NzT(a=K(), b=K())long_paramsi  rf   i  )r    reprr8   r0   len)my_estimatorr   some_ests      r'   	test_reprr      s[    =LQS!#;D:****M?T)*HtH~#%%%r)   c                  .    t               } t        |        y r"   )r    str)r   s    r'   test_strr      s    =Lr)   c                  f   t        t               t              } d| j                  d      v sJ d| j                  d      vsJ | j                  d       | j                  j
                  dk(  sJ t        j                  t              5  | j                  d       d d d        y # 1 sw Y   y xY w)Na__dT)deepFr   )r   )a__a)	r8   r0   r   
set_paramsr:   r3   r   r   
ValueError)r   s    r'   test_get_paramsr     s    QS!9DT__$_////e4444OOO6688q==	z	"  Q     s   B''B0c                     t        j                  t        d      5  t        t              sJ 	 d d d        t        j                  t        d      5  t        t              sJ 	 d d d        t        j                  t        d      5  t        t              sJ 	 d d d        t        j                  t        d      5  t        t              sJ 	 d d d        y # 1 sw Y   xY w# 1 sw Y   xY w# 1 sw Y   XxY w# 1 sw Y   y xY w)Nz!passing a class to.*is deprecatedr   )r   warnsFutureWarningr
   r   r   r   r   r   r   r   r.   r)   r'   test_is_estimator_type_classr     s    	m+N	O "S!!!" 
m+N	O !C   ! 
m+N	O $F###$ 
m+N	O 4"?3334 4" "! !$ $4 4s/   CC&C2>C>C#&C/2C;>Dzestimator, expected_resultTCr}   re   svcsvc_cvFsvrsvr_cvc                 $    t        |       |k(  sJ y r"   )r
   	estimatorexpected_results     r'   test_is_classifierr     s     #666r)   c                 $    t        |       |k(  sJ y r"   )r   r   s     r'   test_is_regressorr   /       	"o555r)   
n_clusters      kmkm_cvc                 $    t        |       |k(  sJ y r"   )r   r   s     r'   test_is_clustererr   @  r   r)   c                  0   t        dt               fg      } t        j                  t              5  | j                  d       d d d        t        j                  t              5  | j                  d       d d d        y # 1 sw Y   >xY w# 1 sw Y   y xY w)Nr   T)svc__stupid_param)svm__stupid_param)r   r   r   r   r   r   )r   s    r'   test_set_paramsr   Q  s|    
UCEN#
$C 
z	" /./ 
z	" /./ /	/ // /s   B $B B	Bc                       G fddt               } dddt        d |        fg      t         |        i       fD ]  }|j                  dd        y )Nc                   "     e Zd Z fdZ xZS )?test_set_params_passes_all_parameters.<locals>.TestDecisionTreec                 4    t        |   di | |k(  sJ | S )Nr.   )r@   r   )r&   kwargsrF   expected_kwargss     r'   r   zJtest_set_params_passes_all_parameters.<locals>.TestDecisionTree.set_paramsh  s&    G((_,,,Kr)   )r+   r,   r-   r   rH   )rF   r   s   @r'   TestDecisionTreer   g  s    	 	r)   r   r   r   )	max_depthmin_samples_leafr   )estimator__max_depthestimator__min_samples_leaf)r   r   r   r   )r   r   r   s     @r'   %test_set_params_passes_all_parametersr   c  sc    1  %&1=O; 0 2345%', N 	A1M	Nr)   c                      t        t               i       } | j                  t               d       | j                  j
                  dk(  sJ y )Ng      E@)r   estimator__C)r   r   r   r   r   r   )gscvs    r'   $test_set_params_updates_valid_paramsr   v  s>     .0"5DOOce$O7>>t###r)   ztree,datasetr   )r   random_state)r   c                    t         j                  j                  d      }|\  }}| j                  ||       |j	                  ddt        |            }| j                  ||      }| j                  |||      }d}||k7  sJ |       y )Nr   re   r   )size)sample_weightz5Unweighted and weighted scores are unexpectedly equal)r_   randomRandomStaterq   randintr   score)	treedatasetrngro   rp   r   score_unweightedscore_weightedr   s	            r'   test_score_sample_weightr	  ~  s     ))


"CDAqHHQNKK2CFK3Mzz!Q'ZZ1MZBN
AC~-2s2-r)   c                  2    G d dt         t              } t        j                  d      }t	        |      } | |d      }t        |      }|j                  |j                  k(  j                  j                         sJ |j                  |j                  k(  sJ y )Nc                   &    e Zd ZdZddZddZd Zy)3test_clone_pandas_dataframe.<locals>.DummyEstimatora,  This is a dummy class for generating numerical features

        This feature extractor extracts numerical features from pandas data
        frame.

        Parameters
        ----------

        df: pandas data frame
            The pandas data frame parameter.

        Notes
        -----
        Nc                      || _         || _        y r"   )dfscalar_param)r&   r  r  s      r'   r(   z<test_clone_pandas_dataframe.<locals>.DummyEstimator.__init__  s    DG ,Dr)   c                      y r"   r.   rn   s      r'   rq   z7test_clone_pandas_dataframe.<locals>.DummyEstimator.fit      r)   c                      y r"   r.   rs   s     r'   	transformz=test_clone_pandas_dataframe.<locals>.DummyEstimator.transform  r  r)   rd   r"   )r+   r,   r-   r^   r(   rq   r  r.   r)   r'   DummyEstimatorr    s    		-		r)   r  r   re   )r  )
r   r   r_   aranger   r	   r  valuesallr  )r  r3   r  ecloned_es        r'   test_clone_pandas_dataframer    s~    )= 6 			"A	q	Br*AQxH DDHKK''++--->>X22222r)   c                  Z    G d dt               } t        j                  ddgddgddgg      }t               j	                  |      }|j
                  } | |      }t        |j
                  |       t        |j                         |j                                t        j                  ddgddgd	dgg      }|j	                  |       t        |j
                  |       |j                  |       t        |j
                  |       t        |      }||u sJ t        |j
                  |       y
)z:Checks that clone works with `__sklearn_clone__` protocol.c                   *    e Zd Zd Zd Zd Zd Zd Zy),test_clone_protocol.<locals>.FrozenEstimatorc                     || _         y r"   )fitted_estimator)r&   r  s     r'   r(   z5test_clone_protocol.<locals>.FrozenEstimator.__init__  s
    $4D!r)   c                 .    t        | j                  |      S r"   )r   r  )r&   r   s     r'   __getattr__z8test_clone_protocol.<locals>.FrozenEstimator.__getattr__  s    400$77r)   c                     | S r"   r.   rk   s    r'   __sklearn_clone__z>test_clone_protocol.<locals>.FrozenEstimator.__sklearn_clone__      Kr)   c                     | S r"   r.   r&   argsr   s      r'   rq   z0test_clone_protocol.<locals>.FrozenEstimator.fit  r$  r)   c                 :     | j                   j                  |i |S r"   )r  r  r&  s      r'   fit_transformz:test_clone_protocol.<locals>.FrozenEstimator.fit_transform  s     24((22DCFCCr)   N)r+   r,   r-   r(   r!  r#  rq   r)  r.   r)   r'   FrozenEstimatorr    s    	5	8			Dr)   r*  r   r      re   N)r   r_   r`   r   rq   components_r   r   get_feature_names_outasarrayr)  r	   )r*  ro   pca
components
frozen_pcaX_newclone_frozen_pcas          r'   test_clone_protocolr7    s   D- D  	2r(RHr2h/0A
%))A,CJ %JJ**J7 z7793;T;T;VW JJQ!Q!Q01ENN5J**J7 U#J**J7 Z(z)))$00*=r)   c                  
   t        j                         } t               j                  | j                  | j
                        }t        j                  |      }d|v sJ t        j                         5  t        j                  d       t        j                  |      }d d d        |j                  | j                  | j
                        }j                  | j                  | j
                        }||k(  sJ y # 1 sw Y   ]xY w)N   _sklearn_versionerror)r   	load_irisr   rq   r   targetpickledumpswarningscatch_warningssimplefilterloadsr  )irisr  tree_pickletree_restoredscore_of_originalscore_of_restoreds         r'   ?test_pickle_version_warning_is_not_raised_with_matching_versionrH    s    D!#''		4;;?D,,t$K+---		 	 	" 2g&[12
 

499dkk:%++DIIt{{C 11112 2s   2+C99Dc                       e Zd Zd Zy)TreeBadVersionc                 L    t        | j                  j                         d      S )N	something)_sklearn_version)dict__dict__itemsrk   s    r'   __getstate__zTreeBadVersion.__getstate__  s    DMM'')KHHr)   Nr+   r,   r-   rQ  r.   r)   r'   rJ  rJ    s    Ir)   rJ  zTrying to unpickle estimator {estimator} from version {old_version} when using version {current_version}. This might lead to breaking code or invalid results. Use at your own risk.c                  `   t        j                         } t               j                  | j                  | j
                        }t        j                  |      }t        j                  ddt        j                        }t        j                  t        |      5 }t        j                  |       d d d        j                   d   j"                  }t%        |t&              sJ |j(                  dk(  sJ |j*                  dk(  sJ |j,                  t        j                  k(  sJ y # 1 sw Y   vxY w)NrJ  rL  r   old_versioncurrent_versionr   r   )r   r;  rJ  rq   r   r<  r=  r>  pickle_error_messageformatsklearn__version__r   r   UserWarningrB  listmessage
isinstancer   estimator_nameoriginal_sklearn_versioncurrent_sklearn_version)rC  r  tree_pickle_otherr]  warning_records        r'   <test_pickle_version_warning_is_issued_upon_different_versionrd  	  s    D		4;;7DT*"))"++ * G
 
k	1 (^&'( !!!$,,Gg9:::!!%5555++{:::**g.A.AAAA( (s   D$$D-c                       e Zd Zd Zy)TreeNoVersionc                     | j                   S r"   )rO  rk   s    r'   rQ  zTreeNoVersion.__getstate__  s    }}r)   NrR  r.   r)   r'   rf  rf    s    r)   rf  c                     t        j                         } t               j                  | j                  | j
                        }t        j                  |      }d|vsJ t        j                  ddt        j                        }t        j                  t        |      5  t        j                  |       d d d        y # 1 sw Y   y xY w)Nr9  rf  zpre-0.18rT  r   )r   r;  rf  rq   r   r<  r=  r>  rW  rX  rY  rZ  r   r   r[  rB  )rC  r  tree_pickle_noversionr]  s       r'   Dtest_pickle_version_warning_is_issued_when_no_version_info_in_picklerj  !  s    D?tyy$++6D"LL.&;;;;"))!++ * G 
k	1 ,*+, , ,s   B>>Cc                     t        j                         } t               j                  | j                  | j
                        }t        j                  |      }	 t        j                  }dt        _        t        j                         5  t        j                  d       t        j                  |       d d d        |t        _        y # 1 sw Y   xY w# t        _        w xY w)N
notsklearnr:  )r   r;  rf  rq   r   r<  r=  r>  r,   r?  r@  rA  rB  )rC  r  ri  module_backups       r'   Ctest_pickle_version_no_warning_is_issued_with_non_sklearn_estimatorrn  2  s    D?tyy$++6D"LL.	1%00#/ $$& 	0!!'*LL./	0
 $1 	0 	0
 $1 s$   /C +C3C CC C c                       e Zd Zd Zd Zy)DontPickleAttributeMixinc                 D    | j                   j                         }d |d<   |S N_attribute_not_pickled)rO  r\   )r&   r   s     r'   rQ  z%DontPickleAttributeMixin.__getstate__C  s$    }}!!#)-%&r)   c                 D    d|d<   | j                   j                  |       y )NT	_restored)rO  update)r&   states     r'   __setstate__z%DontPickleAttributeMixin.__setstate__H  s    !kU#r)   N)r+   r,   r-   rQ  rx  r.   r)   r'   rp  rp  B  s    
$r)   rp  c                       e Zd ZddZy)MultiInheritanceEstimatorc                      || _         d | _        y r"   attribute_pickledrs  r&   r}  s     r'   r(   z"MultiInheritanceEstimator.__init__N      !2&*#r)   Nr   r*   r.   r)   r'   rz  rz  M  s    +r)   rz  c                      t               } d| _        t        j                  |       }t        j                  |      }|j
                  dk(  sJ |j                  J |j                  sJ y N$this attribute should not be pickledr   )rz  rs  r=  r>  rB  r}  ru  r   
serializedestimator_restoreds      r'   3test_pickling_when_getstate_is_overwritten_by_mixinr  S  sd    )+I'MI$i(Jj1//144444<<<''''r)   c                  `   	 t               } d}|| _        t        |       j                  }dt        |       _        | j	                         }|d ddk(  sJ d|d<   | j                  |       | j                  dk(  sJ | j                  sJ 	 |t        |       _        y # t               _        w xY w)Nr  rl  r   )rs  r}  r.  r}  )rz  rs  r   r,   rQ  rx  r}  ru  )r   textold_modr  s       r'   Ftest_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearnr  ^  s    --/	5+/	(y/,,%1Y"++-
STUUUU*+
&'z***a///""""%,Y"WY"s   BB B-c                   &     e Zd ZddZ fdZ xZS )SingleInheritanceEstimatorc                      || _         d | _        y r"   r|  r~  s     r'   r(   z#SingleInheritanceEstimator.__init__r  r  r)   c                 .    t         |          }d |d<   |S rr  )r@   rQ  )r&   rw  rF   s     r'   rQ  z'SingleInheritanceEstimator.__getstate__v  s     $&*.&'r)   r  )r+   r,   r-   r(   rQ  rH   rI   s   @r'   r  r  q  s    + r)   r  c                      t               } d| _        t        j                  |       }t        j                  |      }|j
                  dk(  sJ |j                  J y r  )r  rs  r=  r>  rB  r}  r  s      r'   Ctest_pickling_works_when_getstate_is_overwritten_in_the_child_classr  |  sU    *,I'MI$i(Jj1//144444<<<r)   c                     t               } t               }| j                         j                  j                  sJ |j                         j                  j                  rJ t               }|j                         j                  j                  rJ t               }|j                         j                  j                  sJ t               }|j                         j                  j                  sJ y r"   )r=   rL   rA   rB   rC   rQ   rT   rX   )nan_tag_estno_nan_tag_estredefine_tags_estdiamond_tag_estinherit_diamond_tag_ests        r'   test_tag_inheritancer    s     (KZN'')44>>>>..0;;EEEE# 113>>HHHH)+O++-88BBBB8:"335@@JJJJr)   c                       G d dt               }  |        }d}t        j                  t        |      5  |j	                          d d d        y # 1 sw Y   y xY w)Nc                       e Zd ZddZddZy)<test_raises_on_get_params_non_attribute.<locals>.MyEstimatorc                      y r"   r.   )r&   params     r'   r(   zEtest_raises_on_get_params_non_attribute.<locals>.MyEstimator.__init__  r  r)   Nc                     | S r"   r.   rn   s      r'   rq   z@test_raises_on_get_params_non_attribute.<locals>.MyEstimator.fit  r$  r)   r  r"   )r+   r,   r-   r(   rq   r.   r)   r'   r    r    s    		r)   r    z-'MyEstimator' object has no attribute 'param'r   )r   r   r   AttributeErrorr   )r    r   r   s      r'   'test_raises_on_get_params_non_attributer    sI    m  -C
9C	~S	1   s   AAc                      t               } | j                         }d|v sJ d|v sJ t        d      5  | j                         }d|v sJ d|vsJ 	 d d d        y # 1 sw Y   y xY w)Nz
text/plainz	text/htmlr  display)r   _repr_mimebundle_r   )r  outputs     r'   test_repr_mimebundle_r    s{    !#D##%F6!!!&   		' )'')v%%%&((() ) )s   AA#c                  
   t               } | j                         }d|v sJ t        d      5  d}t        j                  t
        |      5  | j                         }d d d        d d d        y # 1 sw Y   xY w# 1 sw Y   y xY w)Nz<style>r  r  z _repr_html_ is only defined whenr   )r   _repr_html_r   r   r   r  )r  r  r   s      r'   test_repr_html_wrapsr    s~    !#DF		' (0]]>5 	(%%'F	(( (	( 	(( (s#   A9A-A9-A6	2A99Bc                      t               } g dg dg}t        | |d       | j                  dk(  sJ d}t        j                  t
        |      5  t        | dd	       d
d
d
       y
# 1 sw Y   y
xY w)z>Check that `_check_n_features` validates data when reset=False)re   r   r   )r.  r      Tresetr   zHX does not contain any features, but MyEstimator is expecting 3 featuresr   	invalid XFN)r    r   n_features_in_r   r   r   )r   X_trainr   s      r'   test_n_features_in_validationr    sg    
-C)$Gc7$/"""
TC	z	- 9#{%89 9 9s   A''A0c                  l    t               } t        | dd       t        | d      rJ t        | dd       y)z]Check that `_check_n_features` does not validate data when
    n_features_in_ is not defined.r  Tr  r  FN)r    r   r   r   s    r'    test_n_features_in_no_validationr    s6     -Cc;d3s,--- c;e4r)   c                     t        j                  d      } t        j                         }|j                  }| j                  ||j                        } G d dt        t              } |       j                  |      }t        |j                  |j                         |j                  |       t        |d      rJ |j                  |       d}| j                  ||j                  ddd         }t        j                  t        |	      5  |j!                  |       ddd       d
}t        j"                  t$        |	      5  |j!                  |       ddd       d} |       j                  |      }t        j"                  t$        |	      5  |j!                  |       ddd       | j                  |      } |       }t'        j(                         5  t'        j*                  dt$               |j                  |       ddd       ||g}	|	D ]J  }
t'        j(                         5  t'        j*                  dt$               |j!                  |
       ddd       L | j                  |g d      } |       }t-        j.                  d      }t        j                  t0        |	      5  |j                  |       ddd       t        j                  t0        |	      5  |j!                  |       ddd       y# 1 sw Y   xY w# 1 sw Y   xY w# 1 sw Y   sxY w# 1 sw Y    xY w# 1 sw Y   'xY w# 1 sw Y   xY w# 1 sw Y   yxY w)z;Check that feature_name_in are recorded by `_validate_data`pandascolumnsc                       e Zd ZddZd Zy).test_feature_names_in.<locals>.NoOpTransformerNc                     t        | |       | S r"   r   rn   s      r'   rq   z2test_feature_names_in.<locals>.NoOpTransformer.fit      $"Kr)   c                 "    t        | |d       |S NFr  r  rs   s     r'   r  z8test_feature_names_in.<locals>.NoOpTransformer.transform  s    $/Hr)   r"   r+   r,   r-   rq   r  r.   r)   r'   NoOpTransformerr    s    		r)   r  feature_names_in_z5The feature names should match those that were passedNr+  r   zVX does not have valid feature names, but NoOpTransformer was fitted with feature nameszIX has feature names, but NoOpTransformer was fitted without feature namesr:  )r:   r;   re   r   a  Feature names are only supported if all input features have string names, but your input has ['int', 'str'] as feature name / column name types. If you want feature names to be stored and validated, you must convert them all to strings, by using X.columns = X.columns.astype(str) for example. Otherwise you can remove feature / column names from your input data, or convert them all to a non-string data type.)r   importorskipr   r;  r   	DataFramefeature_namesr   r   rq   r   r  r  r   r   r   r  r   r[  r?  r@  rA  reescaper   )pdrC  X_npr  r  transr   df_baddf_int_namesXsro   df_mixeds               r'   test_feature_names_inr    s   			X	&BD99D	dD$6$6	7B*M  !!"%Eu..

; 
IIdOu1222	IIbM
AC\\$(:(:4R4(@\AF	z	-   
	$  
k	-  VC!!$'E	k	-  <<%LE		 	 	"  g{3		,  	B $$& 	!!';7OOA	 	 ||D*:|;HE
))	?C 
y	, 		( 
y	, "!" "_        	 	 " "sT   K:LL,L!(,L.*L;M:LLL!L+.L8	;MMc                  "   t        j                  d      } t        j                         }| j	                  |j
                  |j                        }| j                  |j                        } G d dt        t              } |       }t        ||d      }t        |t        j                        sJ t        ||j!                                t        ||d      }||u sJ t        ||d      }t        |t        j                        sJ t        ||j!                                t        ||d      }	|	|u sJ t        |||d      \  }}t        |t        j                        sJ t        ||j!                                t        |t        j                        sJ t        ||j!                                t        |||d      \  }}	||u sJ |	|u sJ d	}
t        j"                  t$        |

      5  t        |       ddd       y# 1 sw Y   yxY w)z0Check skip_check_array option of _validate_data.r  r  c                       e Zd Zy)<test_validate_data_skip_check_array.<locals>.NoOpTransformerNrU   r.   r)   r'   r  r  0      r)   r  F)skip_check_arrayT)rp   r  z*Validation should be done on X, y or both.r   N)r   r  r   r;  r  r   r  Seriesr<  r   r   r   r^  r_   ndarrayr   to_numpyr   r   )r  rC  r  rp   r  no_opX_np_outX_df_outy_np_outy_series_outr   s              r'   #test_validate_data_skip_check_arrayr  (  s    
		X	&BD	dii););	<B
		$++A*M  EUB?Hh

+++Hbkkm,UB>Hr>>Ua%@Hh

+++Hajjl+ !dCL1&ub!eLHhh

+++Hbkkm,h

+++Hajjl+*5"a$OHlr>>1
6C	z	- e  s   0HHc                      t               j                  d      } t        d|       }t        |       }t        d|      }||k(  sJ y)z-Check that clone keeps the set_output config.r  )r  r  N)r   
set_outputr   r	   )ssconfigss_cloneconfig_clones       r'   test_clone_keeps_output_configr  Q  sI     
		$	$x	$	8BR0FRyH%k8<L\!!!r)   c                       e Zd Zy)_EmptyNrU   r.   r)   r'   r  r  \  rV   r)   r  c                       e Zd Zy)EmptyEstimatorNrU   r.   r)   r'   r  r  `  rV   r)   r  r   c                     | j                         }dt        j                  i}||k(  sJ t        j                  t        j
                  t                            y)zCheck that ``__getstate__`` returns an empty ``dict`` with an empty
    instance.

    Python 3.11+ changed behaviour by returning ``None`` instead of raising an
    ``AttributeError``. Non-regression test for gh-25188.
    rM  N)rQ  rY  rZ  r=  rB  r>  r   )r   rw  expecteds      r'   "test_estimator_empty_instance_dictr  d  sI     ""$E"G$7$78HH LLmo./r)   c                  Z    G d d      }  G d dt         |       }d}t        j                  t        |      5   |       j	                          ddd       t        j                  t        |      5  t        j                   |              ddd       y# 1 sw Y   HxY w# 1 sw Y   yxY w)z:Using a `BaseEstimator` with `__slots__` is not supported.c                       e Zd ZdZy)Dtest_estimator_getstate_using_slots_error_message.<locals>.WithSlots)xN)r+   r,   r-   	__slots__r.   r)   r'   	WithSlotsr  w  s    	r)   r  c                       e Zd Zy)Dtest_estimator_getstate_using_slots_error_message.<locals>.EstimatorNrU   r.   r)   r'   	Estimatorr  z  r  r)   r  zRYou cannot use `__slots__` in objects inheriting from `sklearn.base.BaseEstimator`r   N)r   r   r   r   rQ  r=  r>  )r  r  r   s      r'   1test_estimator_getstate_using_slots_error_messager  t  s     M9 	' 
 
y	, #  "# 
y	, "Y[!" "# #" "s   B1B!B!B*zconstructor_name, minversion))	dataframez1.5.0)pyarrowz12.0.0)polarsz0.20.23c                    g dg dg}g d}t        || ||      } G d dt        t              } |       }|j                  |       t	        |j
                  |       |j                  |      }| dk7  rt        ||       g d}t        || |	      }	t        j                  t        d
      5  |j                  |	       ddd       y# 1 sw Y   yxY w)z:Uses the dataframe exchange protocol to get feature names.)re   r.  r   )r   r   r  )col_0col_1col_2)columns_name
minversionc                       e Zd ZddZd Zy)0test_dataframe_protocol.<locals>.NoOpTransformerNc                     t        | |       | S r"   r  rn   s      r'   rq   z4test_dataframe_protocol.<locals>.NoOpTransformer.fit  r  r)   c                     t        | |d      S r  r  rs   s     r'   r  z:test_dataframe_protocol.<locals>.NoOpTransformer.transform  s     q66r)   r"   r  r.   r)   r'   r  r     s    		7r)   r  r  )r:   r;   r2   )r  zThe feature names should matchr   N)r   r   r   rq   r   r  r  r   r   r   r   )
constructor_namer  r   r  r  r  r  X_out	bad_namesr  s
             r'   test_dataframe_protocolr    s     y!D)G	W
B7*M 7 E	IIbMu..8OOBE9$ 	E"I&6YOF	z)I	J       s   -CC)enable_metadata_routingc                      G d dt         t              } t        j                  t        d      5   |        j                  d      j                  dggdgd       ddd       t        j                  d	      5 } |        j                  d      j                  dggdg       t        |      d
k(  sJ 	 ddd       y# 1 sw Y   dxY w# 1 sw Y   yxY w)zkTest that having a transformer with metadata for transform raises a
    warning when calling fit_transform.c                       e Zd ZddZddZy)Ttest_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformerNc                     | S r"   r.   r&   ro   rp   props       r'   rq   zXtest_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformer.fit  r$  r)   c                     |S r"   r.   r&   ro   r  s      r'   r  z^test_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformer.transform      Hr)   r5   r"   r  r.   r)   r'   CustomTransformerr
        		r)   r  z*`transform` method which consumes metadatar   Tr  re   Nrecordr   )
r   r   r   r   r[  set_transform_requestr)  r?  r@  r   )r  r  s     r'   9test_transformer_fit_transform_with_metadata_in_transformr    s    
M+;  
k)U	V 
11t1<JJSEA3Q 	K 	

 
	 	 	-  11t1<JJQC5STRUV6{a   
 
      -C ;;C C	Cc                      G d dt         t              } t        j                  t        d      5   |        j                  d      j                  dggdgd       ddd       t        j                  d	      5 } |        j                  d      j                  dggdg       t        |      d
k(  sJ 	 ddd       y# 1 sw Y   dxY w# 1 sw Y   yxY w)ziTest that having an OutlierMixin with metadata for predict raises a
    warning when calling fit_predict.c                       e Zd ZddZddZy)Vtest_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetectorNc                     | S r"   r.   r  s       r'   rq   zZtest_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetector.fit  r$  r)   c                     |S r"   r.   r  s      r'   rt   z^test_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetector.predict  r  r)   r5   r"   )r+   r,   r-   rq   rt   r.   r)   r'   CustomOutlierDetectorr    r  r)   r  z(`predict` method which consumes metadatar   Tr  re   Nr  r   )
r   r   r   r   r[  set_predict_requestfit_predictr?  r@  r   )r  r  s     r'   7test_outlier_mixin_fit_predict_with_metadata_in_predictr!    s    
|  
k)S	T 
333>JJSEA3Q 	K 	

 
	 	 	-  333>JJQC5STRUV6{a   
 
   r  c                      t        d      } | j                         dddk(  sJ | j                         j                  dk(  sJ y)z5Check the behaviour of the `_get_params_html` method.r   r   r   r#   N)r    _get_params_htmlnon_defaultr  s    r'   test_get_params_htmlr%    sE    
F
#C!A%????!--;;;r)   )yr=  r  r?  numpyr_   r   scipy.sparsesparser   numpy.testingr   rY  r   r   sklearn.baser   r   r   r	   r
   r   r   r   sklearn.clusterr   sklearn.decompositionr   sklearn.ensembler   sklearn.exceptionsr   sklearn.model_selectionr   sklearn.pipeliner   sklearn.preprocessingr   sklearn.svmr   r   sklearn.treer   r   sklearn.utils._mockingr   sklearn.utils._set_outputr   sklearn.utils._testingr   r   sklearn.utils.validationr   r   r    r0   r8   r=   rL   rQ   rT   rX   rZ   rb   ri   rv   r   r   r   r   r   r   r   r   r   r   r   r   r   markparametrizer   r   r   r   r   r   make_classificationmake_regressionr	  r  r7  rH  rJ  rW  rd  rf  rj  rn  rp  rz  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r!  r%  r.   r)   r'   <module>r<     s    	     )  ,	 	 	 # % , 9 0 % 0   F 0 8 F
-   ] } & 	&( 		!4 	} M  M ($6(8#(L#&
 4  		cecC8_	-t4	E35>"	#T*	Hl353a/BCD	EtL		cecC8_	-u5	E35>"	#U+	Hl353a/BCD	EuM	77  		cecC8_	-t4	E35>"	#T*	Hl353a/BCD	EtL		cecC8_	-u5	E35>"	#U+	Hl353a/BCD	EuM	66  	4	fh1v 6	7>	D&(#$	%t,	G\&(\Aq64JKLM	NPTU		cecC8_	-u5	E35>"	#U+	Hl353a/BCD	EuM	66
/$N&$  #QQ?(H((a8	

 "AA>$H$$!4	
	33#3L)>X2 I+ I B&* 
,"1 $ $+ 8- +(-& =K$
)
(
9	5K"\&R"	 		V] 	 }8H&IJ0 K0"* "  @ -  . 2 -  . 2<r)   