
    rh                     V   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"m#Z# d dl$m%Z% d dl&m'Z' d dl(m)Z)m*Z* d dl+m,Z,m-Z- d dl.m/Z/ d dl0m1Z1 d dl2m3Z3m4Z4 d dl5m6Z6m7Z7  G d de      Z8 G d de      Z9 G d de      Z: G d de      Z; G d de      Z< G d de;      Z= G d d e;e<      Z> G d! d"e>      Z? G d# d$e      Z@ G d% d&e      ZA G d' d(      ZB G d) d*e      ZCd+ ZDd, ZEd- ZFd. ZGd/ ZHd0 ZId1 ZJd2 ZKd3 ZLd4 ZMd5 ZNd6 ZOd7 ZPej                  j                  d8 e)       d9f e" e)       d:d;d<gi      d9f e%d= e)       fg      d9f e%d> e" e)       d:d;d<gi      fg      d9f e*       d?f e" e*       d:d;d<gi      d?f e%d@ e*       fg      d?f e%dA e" e*       d:d;d<gi      fg      d?fg      dB        ZSej                  j                  d8 e*       d9f e" e*       d:d;d<gi      d9f e%d@ e*       fg      d9f e%dA e" e*       d:d;d<gi      fg      d9f e)       d?f e" e)       d:d;d<gi      d?f e%d= e)       fg      d?f e%d> e" e)       d:d;d<gi      fg      d?fg      dC        ZTej                  j                  d8 e       d9f e" e       dDdEdFgi      d9f e%dG e       fg      d9f e%dH e" e       dDdEdFgi      fg      d9f e)       d?f e" e)       d:d;d<gi      d?f e%d= e)       fg      d?f e%d> e" e)       d:d;d<gi      fg      d?fg      dI        ZUdJ ZVdK ZWdL ZXej                  j                  dM e,dNd O       ej                  d P      f e-dNd O       ej                  d P      fg      dQ        Z[dR Z\dS Z]dT Z^ G dU dVe,      Z_dWZ`dX Za G dY dZe,      Zbd[ Zcd\ Zd G d] d^      Ze G d_ d`eee      Zfda Zgdb Zh G dc dde      Zide Zjdf Zkdg Zldh Zmdi Zndj Zodk Zpdl Zqdm Zrdn Zs G do dp      Zt G dq drete      Zuej                  j                  ds e        eu       g      dt        Zvdu Zwej                  j                  dvg dw      dx        Zx ed9y      dz        Zy ed9y      d{        Zzd| Z{d} Z|ej                  j                  d~ddd<gfd ej                  d<g      fdddEdgfd ej                  dEdg      fddg fdd fej                  dfej                   ej                  ej                  g      fdddgfddd<d<gfd< ej                  d<g      fdddgfd ej                  dg      fd<dNgdEgf ej                  d<g      dNdEgfd e#       fd e d      fg      d        Zej                  j                  d~dddg fd ej                  g       fddg dfd ej                  g d      fej                  ej                  fdddddg      d        Zy)    N)assert_allclose)config_contextdatasets)BaseEstimatorOutlierMixinTransformerMixincloneis_classifieris_clustereris_outlier_detectoris_regressor)KMeans)PCA)IsolationForest)InconsistentVersionWarning)
get_scorer)GridSearchCVKFold)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      j/var/www/html/ai-insurance-compliance-backend/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$   )cd)r(   r4   r5   s      r)   r*   z
K.__init__5       r+   NNr,   r0   r+   r)   r2   r2   4       r+   r2   c                       e Zd ZddZy)TNc                      || _         || _        y r$   )ab)r(   r<   r=   s      r)   r*   z
T.__init__;   r6   r+   r7   r,   r0   r+   r)   r:   r:   :   r8   r+   r:   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)   rC   zNaNTag.__sklearn_tags__A   s!    w')$(!r+   r-   r.   r/   rC   __classcell__rH   s   @r)   r?   r?   @        r+   r?   c                        e Zd Z fdZ xZS )NoNaNTagc                 F    t         |          }d|j                  _        |S NFrA   rF   s     r)   rC   zNoNaNTag.__sklearn_tags__H   !    w')$)!r+   rI   rK   s   @r)   rN   rN   G   rL   r+   rN   c                        e Zd Z fdZ xZS )OverrideTagc                 F    t         |          }d|j                  _        |S rP   rA   rF   s     r)   rC   zOverrideTag.__sklearn_tags__O   rQ   r+   rI   rK   s   @r)   rS   rS   N   rL   r+   rS   c                       e Zd Zy)DiamondOverwriteTagNr-   r.   r/   r0   r+   r)   rV   rV   U       r+   rV   c                       e Zd Zy)InheritDiamondOverwriteTagNrW   r0   r+   r)   rZ   rZ   Y   rX   r+   rZ   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$   )copyr<   r(   r<   s     r)   r*   zModifyInitParams.__init__c   s    r+   N)r-   r.   r/   __doc__nparrayr*   r0   r+   r)   r\   r\   ]   s    
 "1# r+   r\   c                       e Zd ZdZddZy)Buggyz9A buggy estimator that does not set its parameters right.Nc                     d| _         y N   r<   r_   s     r)   r*   zBuggy.__init__j   s	    r+   r$   r-   r.   r/   r`   r*   r0   r+   r)   rd   rd   g   s
    ?r+   rd   c                   "    e Zd Zd ZddZddZy)NoEstimatorc                      y r$   r0   r(   s    r)   r*   zNoEstimator.__init__o       r+   Nc                     | S r$   r0   r(   Xys      r)   fitzNoEstimator.fitr   s    r+   c                      y r$   r0   r(   rq   s     r)   predictzNoEstimator.predictu   s    r+   r7   r$   )r-   r.   r/   r*   rs   rv   r0   r+   r)   rk   rk   n   s    r+   rk   c                       e Zd ZdZd Zy)VargEstimatorz-scikit-learn estimators shouldn't have vargs.c                      y r$   r0   )r(   vargss     r)   r*   zVargEstimator.__init__|   rn   r+   Nri   r0   r+   r)   rx   rx   y   s
    7r+   rx   c                      ddl m} m}  | |d      }t        |      }||usJ |j	                         |j	                         k(  sJ  | |t        j                  d            }t        |      }||usJ y )Nr   	SelectFpr	f_classif皙?alpha)
      )sklearn.feature_selectionr}   r~   r	   
get_paramsra   zerosr}   r~   selectornew_selectors       r)   
test_cloner      sv     ?#.H?L<''' L$;$;$===="((7*;<H?L<'''r+   c                  h    ddl m} m}  | |d      }d|_        t	        |      }t        |d      rJ y )Nr   r|   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   )
rd   r<   pytestraisesRuntimeErrorr	   rk   	TypeErrorrx   r\   )buggyno_estimatorvarg_estests       r)   test_clone_buggyr      s    GEEG	|	$ e =L	y	! l H	|	$ h 
C	|	$ c
     s/   C%"C1C=D	%C.1C:=D	Dc                  ~   t        t        j                  g             } t        |       }t	        | j
                  |j
                         t        t        j                  t        j                  dgg                  } t        |       }t	        | j
                  j                  |j
                  j                         y )Nr'   r   )	r"   ra   rb   r	   r   r'   sp
csr_matrixdataclfclf2s     r)   test_clone_empty_arrayr      sq    
BHHRL
)C:Dsyy$**-
BMM"((QC5/:
;C:Dsyy~~tzz7r+   c                      t        t        j                        } t        |       }| j                  |j                  u sJ y Nr   )r"   ra   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getattrra   eyer"   r	   r'   rH   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  rh   i  )r"   reprr:   r2   len)my_estimatorr   some_ests      r)   	test_reprr      s[    =LQS!#;D:****M?T)*HtH~#%%%r+   c                  .    t               } t        |        y r$   )r"   str)r   s    r)   test_strr      s    =Lr+   c                  f   t        t               t              } d| j                  d      v sJ d| j                  d      vsJ | j                  d       | j                  j
                  dk(  sJ t        j                  t              5  | j                  d       d d d        y # 1 sw Y   y xY w)Na__dT)deepFr   )r   )a__a)	r:   r2   r   
set_paramsr<   r5   r   r   
ValueError)r   s    r)   test_get_paramsr     s    QS!9DT__$_////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   r0   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   rg   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   0       	"o555r+   
n_clusters      kmkm_cvc                 $    t        |       |k(  sJ y r$   )r   r   s     r)   test_is_clustererr   A  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   R  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 )Nr0   )rB   r   )r(   kwargsrH   expected_kwargss     r)   r   zJtest_set_params_passes_all_parameters.<locals>.TestDecisionTree.set_paramsi  s&    G((_,,,Kr+   )r-   r.   r/   r   rJ   )rH   r   s   @r)   TestDecisionTreer   h  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   d  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)   $test_set_params_updates_valid_paramsr   w  s>     .0"5DOOce$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   rg   r   )size)sample_weightz5Unweighted and weighted scores are unexpectedly equal)ra   randomRandomStaters   randintr   score)	treedatasetrngrq   rr   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$   )dfscalar_param)r(   r  r  s      r)   r*   z<test_clone_pandas_dataframe.<locals>.DummyEstimator.__init__  s    DG ,Dr+   c                      y r$   r0   rp   s      r)   rs   z7test_clone_pandas_dataframe.<locals>.DummyEstimator.fit      r+   c                      y r$   r0   ru   s     r)   	transformz=test_clone_pandas_dataframe.<locals>.DummyEstimator.transform  r  r+   rf   r$   )r-   r.   r/   r`   r*   rs   r  r0   r+   r)   DummyEstimatorr    s    		-		r+   r  r   rg   )r  )
r   r   ra   aranger   r	   r  valuesallr  )r  r5   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$77r+   c                     | S r$   r0   rm   s    r)   __sklearn_clone__z>test_clone_protocol.<locals>.FrozenEstimator.__sklearn_clone__      Kr+   c                     | S r$   r0   r(   argsr   s      r)   rs   z0test_clone_protocol.<locals>.FrozenEstimator.fit  r&  r+   c                 :     | j                   j                  |i |S r$   )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%  rs   r+  r0   r+   r)   FrozenEstimatorr    s    	5	8			Dr+   r,  r   r      rg   N)r   ra   rb   r   rs   components_r   r   get_feature_names_outasarrayr+  r	   )r,  rq   pca
components
frozen_pcaX_newclone_frozen_pcas          r)   test_clone_protocolr9    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)))$00*=r+   c                  
   t        j                         } t               j                  | j                  | j
                        }t        j                  |      }d|v sJ t        j                         5  t        j                  d       t        j                  |      }d d d        |j                  | j                  | j
                        }j                  | j                  | j
                        }||k(  sJ y # 1 sw Y   ]xY w)N   _sklearn_versionerror)r   	load_irisr   rs   r   targetpickledumpswarningscatch_warningssimplefilterloadsr  )irisr  tree_pickletree_restoredscore_of_originalscore_of_restoreds         r)   ?test_pickle_version_warning_is_not_raised_with_matching_versionrJ    s    D!#''		4;;?D,,t$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__itemsrm   s    r)   __getstate__zTreeBadVersion.__getstate__  s    DMM'')KHHr+   Nr-   r.   r/   rS  r0   r+   r)   rL  rL    s    Ir+   rL  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)NrL  rN  r   old_versioncurrent_versionr   r   )r   r=  rL  rs   r   r>  r?  r@  pickle_error_messageformatsklearn__version__r   r   UserWarningrD  listmessage
isinstancer   estimator_nameoriginal_sklearn_versioncurrent_sklearn_version)rE  r  tree_pickle_otherr_  warning_records        r)   <test_pickle_version_warning_is_issued_upon_different_versionrf  
  s    D		4;;7DT*"))"++ * G
 
k	1 (^&'( !!!$,,Gg9:::!!%5555++{:::**g.A.AAAA( (s   D$$D-c                       e Zd Zd Zy)TreeNoVersionc                     | j                   S r$   )rQ  rm   s    r)   rS  zTreeNoVersion.__getstate__  s    }}r+   NrT  r0   r+   r)   rh  rh    s    r+   rh  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)Nr;  rh  zpre-0.18rV  r   )r   r=  rh  rs   r   r>  r?  r@  rY  rZ  r[  r\  r   r   r]  rD  )rE  r  tree_pickle_noversionr_  s       r)   Dtest_pickle_version_warning_is_issued_when_no_version_info_in_picklerl  "  s    D?tyy$++6D"LL.&;;;;"))!++ * G 
k	1 ,*+, , ,s   B>>Cc                     t        j                         } t               j                  | j                  | j
                        }t        j                  |      }	 t        j                  }dt        _        t        j                         5  t        j                  d       t        j                  |       d d d        |t        _        y # 1 sw Y   xY w# t        _        w xY w)N
notsklearnr<  )r   r=  rh  rs   r   r>  r?  r@  r.   rA  rB  rC  rD  )rE  r  rk  module_backups       r)   Ctest_pickle_version_no_warning_is_issued_with_non_sklearn_estimatorrp  3  s    D?tyy$++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)rQ  r^   )r(   r   s     r)   rS  z%DontPickleAttributeMixin.__getstate__D  s$    }}!!#)-%&r+   c                 D    d|d<   | j                   j                  |       y )NT	_restored)rQ  update)r(   states     r)   __setstate__z%DontPickleAttributeMixin.__setstate__I  s    !kU#r+   N)r-   r.   r/   rS  rz  r0   r+   r)   rr  rr  C  s    
$r+   rr  c                       e Zd ZddZy)MultiInheritanceEstimatorc                      || _         d | _        y r$   attribute_pickledru  r(   r  s     r)   r*   z"MultiInheritanceEstimator.__init__O      !2&*#r+   Nr   r,   r0   r+   r)   r|  r|  N  s    +r+   r|  c                      t               } d| _        t        j                  |       }t        j                  |      }|j
                  dk(  sJ |j                  J |j                  sJ y N$this attribute should not be pickledr   )r|  ru  r?  r@  rD  r  rw  r   
serializedestimator_restoreds      r)   3test_pickling_when_getstate_is_overwritten_by_mixinr  T  sd    )+I'MI$i(Jj1//144444<<<''''r+   c                  `   	 t               } d}|| _        t        |       j                  }dt        |       _        | j	                         }|d ddk(  sJ d|d<   | j                  |       | j                  dk(  sJ | j                  sJ 	 |t        |       _        y # t               _        w xY w)Nr  rn  r   )ru  r  r0  r  )r|  ru  r   r.   rS  rz  r  rw  )r   textold_modr  s       r)   Ftest_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearnr  _  s    --/	5+/	(y/,,%1Y"++-
STUUUU*+
&'z***a///""""%,Y"WY"s   BB B-c                   &     e Zd ZddZ fdZ xZS )SingleInheritanceEstimatorc                      || _         d | _        y r$   r~  r  s     r)   r*   z#SingleInheritanceEstimator.__init__s  r  r+   c                 .    t         |          }d |d<   |S rt  )rB   rS  )r(   ry  rH   s     r)   rS  z'SingleInheritanceEstimator.__getstate__w  s     $&*.&'r+   r  )r-   r.   r/   r*   rS  rJ   rK   s   @r)   r  r  r  s    + r+   r  c                      t               } d| _        t        j                  |       }t        j                  |      }|j
                  dk(  sJ |j                  J y r  )r  ru  r?  r@  rD  r  r  s      r)   Ctest_pickling_works_when_getstate_is_overwritten_in_the_child_classr  }  sU    *,I'MI$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$   )r?   rN   rC   rD   rE   rS   rV   rZ   )nan_tag_estno_nan_tag_estredefine_tags_estdiamond_tag_estinherit_diamond_tag_ests        r)   test_tag_inheritancer    s     (KZN'')44>>>>..0;;EEEE# 113>>HHHH)+O++-88BBBB8:"335@@JJJJr+   c                       G d dt               }  |        }d}t        j                  t        |      5  |j	                          d d d        y # 1 sw Y   y xY w)Nc                       e Zd ZddZddZy)<test_raises_on_get_params_non_attribute.<locals>.MyEstimatorc                      y r$   r0   r(   params     r)   r*   zEtest_raises_on_get_params_non_attribute.<locals>.MyEstimator.__init__  r  r+   Nc                     | S r$   r0   rp   s      r)   rs   z@test_raises_on_get_params_non_attribute.<locals>.MyEstimator.fit  r&  r+   r  r$   )r-   r.   r/   r*   rs   r0   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rg   r   r   )r0  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$   r    rp   s      r)   rs   z2test_feature_names_in.<locals>.NoOpTransformer.fit      $"Kr+   c                 "    t        | |d       |S NFr  r  ru   s     r)   r  z8test_feature_names_in.<locals>.NoOpTransformer.transform  s    $/Hr+   r$   r-   r.   r/   rs   r  r0   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=   rg   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   rs   r   r  r  r   r   r   r  r   r]  rA  rB  rC  reescaper   )pdrE  X_npr  r  transr   df_baddf_int_namesXsrq   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>.NoOpTransformerNrW   r0   r+   r)   r  r  1      r+   r  F)skip_check_arrayT)rr   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`  ra   ndarrayr   to_numpyr   r   )r  rE  r  rr   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  R  sI     
		$	$x	$	8BR0FRyH%k8<L\!!!r+   c                       e Zd Zy)_EmptyNrW   r0   r+   r)   r  r  ]  rX   r+   r  c                       e Zd Zy)EmptyEstimatorNrW   r0   r+   r)   r  r  a  rX   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.
    rO  N)rS  r[  r\  r?  rD  r@  r   )r   ry  expecteds      r)   "test_estimator_empty_instance_dictr  e  sI     ""$E"G$7$78HH LLmo./r+   c                  Z    G d d      }  G d dt         |       }d}t        j                  t        |      5   |       j	                          ddd       t        j                  t        |      5  t        j                   |              ddd       y# 1 sw Y   HxY w# 1 sw Y   yxY w)z:Using a `BaseEstimator` with `__slots__` is not supported.c                       e Zd ZdZy)Dtest_estimator_getstate_using_slots_error_message.<locals>.WithSlotsxN)r-   r.   r/   	__slots__r0   r+   r)   	WithSlotsr  x  s    	r+   r  c                       e Zd Zy)Dtest_estimator_getstate_using_slots_error_message.<locals>.EstimatorNrW   r0   r+   r)   	Estimatorr  {  r  r+   r  zRYou cannot use `__slots__` in objects inheriting from `sklearn.base.BaseEstimator`r   N)r   r   r   r   rS  r?  r@  )r  r  r   s      r)   1test_estimator_getstate_using_slots_error_messager  u  s     M9 	' 
 
y	, #  "# 
y	, "Y[!" "# #" "s   B1B!B!B*zconstructor_name, minversion))	dataframez1.5.0)pyarrowz12.0.0)polarsz0.20.23c                    g dg dg}g d}t        || ||      } G d dt        t              } |       }|j                  |       t	        |j
                  |       |j                  |      }| dk7  rt        ||       g d}t        || |	      }	t        j                  t        d
      5  |j                  |	       ddd       y# 1 sw Y   yxY w)z:Uses the dataframe exchange protocol to get feature names.)rg   r0  r   )r   r   r  )col_0col_1col_2)columns_name
minversionc                       e Zd ZddZd Zy)0test_dataframe_protocol.<locals>.NoOpTransformerNc                     t        | |       | S r$   r  rp   s      r)   rs   z4test_dataframe_protocol.<locals>.NoOpTransformer.fit  r  r+   c                     t        | |d      S r  r  ru   s     r)   r  z:test_dataframe_protocol.<locals>.NoOpTransformer.transform  s     q66r+   r$   r  r0   r+   r)   r  r    s    		7r+   r  r  )r<   r=   r4   )r  zThe feature names should matchr   N)r   r   r   rs   r   r  r  r   r   r   r   )
constructor_namer  r   r  r  r  r  X_out	bad_namesr  s
             r)   test_dataframe_protocolr    s     y!D)G	W
B7*M 7 E	IIbMu..8OOBE9$ 	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$   r0   r(   rq   rr   props       r)   rs   zXtest_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformer.fit  r&  r+   c                     |S r$   r0   r(   rq   r  s      r)   r  z^test_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformer.transform      Hr+   r7   r$   r  r0   r+   r)   CustomTransformerr        		r+   r  z*`transform` method which consumes metadatar   Tr  rg   Nrecordr   )
r   r   r   r   r]  set_transform_requestr+  rA  rB  r   )r  r  s     r)   9test_transformer_fit_transform_with_metadata_in_transformr    s    
M+;  
k)U	V 
11t1<JJSEA3Q 	K 	

 
	 	 	-  11t1<JJQC5STRUV6{a   
 
      -C ;;C C	Cc                      G d dt         t              } t        j                  t        d      5   |        j                  d      j                  dggdgd       ddd       t        j                  d	      5 } |        j                  d      j                  dggdg       t        |      d
k(  sJ 	 ddd       y# 1 sw Y   dxY w# 1 sw Y   yxY w)ziTest that having an OutlierMixin with metadata for predict raises a
    warning when calling fit_predict.c                       e Zd ZddZddZy)Vtest_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetectorNc                     | S r$   r0   r  s       r)   rs   zZtest_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetector.fit  r&  r+   c                     |S r$   r0   r  s      r)   rv   z^test_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetector.predict  r  r+   r7   r$   )r-   r.   r/   rs   rv   r0   r+   r)   CustomOutlierDetectorr     r  r+   r#  z(`predict` method which consumes metadatar   Tr  rg   Nr  r   )
r   r   r   r   r]  set_predict_requestfit_predictrA  rB  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+   c                 *      G  fddt               }|S )Nc                       e Zd ZW  fdZy)3make_estimator_with_param.<locals>.DynamicEstimatorc                     || _         y r$   r  r  s     r)   r*   z<make_estimator_with_param.<locals>.DynamicEstimator.__init__  s	    DJr+   Nr,   )default_values   r)   DynamicEstimatorr-    s    !. 	r+   r1  )r   )r0  r1  s   ` r)   make_estimator_with_paramr2    s    =  r+   zdefault_value, test_value)r0   )rg   r0   )rg   r   )r   r0  r3  r0  rf   c                     | S r$   r0   r  s    r)   <lambda>r5    s     r+         ?)abcdefr7  )TF)r6         @accuracyc                 h     t        |       |      }|j                         j                  }d|v sJ y)zCheck that we detect non-default parameters with various types.

    Non-regression test for:
    https://github.com/scikit-learn/scikit-learn/issues/31525
    r/  r  Nr2  r(  r)  r0  
test_valuer   r)  s       r)   test_param_is_non_defaultr?    s9    F 9)-8zJI,,.::Kk!!!r+   r7   )r0   r0   )r  r  r  )r7  r7  )TT)rg   rg   )r6  r6  )r   r9  c                 h     t        |       |      }|j                         j                  }d|vsJ y)zCheck that we detect the default parameters and values in an array-like will
    be reported as default as well.

    Non-regression test for:
    https://github.com/scikit-learn/scikit-learn/issues/31525
    r/  r  Nr<  r=  s       r)   test_param_is_defaultrA    s8    2 9)-8zJI,,.::K+%%%r+   )r?  r  rA  numpyra   r   scipy.sparsesparser   numpy.testingr   r[  r   r   sklearn.baser   r   r   r	   r
   r   r   r   sklearn.clusterr   sklearn.decompositionr   sklearn.ensembler   sklearn.exceptionsr   sklearn.metricsr   sklearn.model_selectionr   r   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"   r2   r:   r?   rN   rS   rV   rZ   r\   rd   rk   rx   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  r9  rJ  rL  rY  rf  rh  rl  rp  rr  r|  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r&  r*  r2  rb   r   r?  rA  r0   r+   r)   <module>rY     s    	     )  ,	 	 	 # % , 9 & 7 % 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< 	aS		XRXXqc]	!Q	1a&!"	r
	{		266(#$		
QC	
HBHHaSM	se	hbhhuo
Q!	1#A	uw	z*%&1:";:" 	R	XRXXb\	I	HBHHY'(	$	&%$	&r+   