
    0Ph!z                     <   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jN        O                    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jN        O                    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jN        O                    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jN        O                    dL e)dMd N           ejV        d O          f e*dMd N           ejW        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jN        O                    dr e             er            g          ds             Zsdt ZtejN        O                    dug dv          dw             Zu ed8x          dy             Zv ed8x          dz             ZwdS ){    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dS )MyEstimatorr   Nc                 "    || _         || _        d S N)l1empty)selfr#   r$   s      W/var/www/html/test/jupyter/venv/lib/python3.11/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dS )KNc                 "    || _         || _        d S r"   )cd)r%   r1   r2   s      r&   r'   z
K.__init__4       r(   NNr)   r-   r(   r&   r/   r/   3   (             r(   r/   c                       e Zd ZddZdS )TNc                 "    || _         || _        d S r"   )ab)r%   r9   r:   s      r&   r'   z
T.__init__:   r3   r(   r4   r)   r-   r(   r&   r7   r7   9   r5   r(   r7   c                        e Zd Z fdZ xZS )NaNTagc                 `    t                                                      }d|j        _        |S )NTsuper__sklearn_tags__
input_tags	allow_nanr%   tags	__class__s     r&   r@   zNaNTag.__sklearn_tags__@   s'    ww''))$(!r(   r*   r+   r,   r@   __classcell__rE   s   @r&   r<   r<   ?   8                r(   r<   c                        e Zd Z fdZ xZS )NoNaNTagc                 `    t                                                      }d|j        _        |S NFr>   rC   s     r&   r@   zNoNaNTag.__sklearn_tags__G   '    ww''))$)!r(   rF   rH   s   @r&   rK   rK   F   rI   r(   rK   c                        e Zd Z fdZ xZS )OverrideTagc                 `    t                                                      }d|j        _        |S rM   r>   rC   s     r&   r@   zOverrideTag.__sklearn_tags__N   rN   r(   rF   rH   s   @r&   rP   rP   M   rI   r(   rP   c                       e Zd ZdS )DiamondOverwriteTagNr*   r+   r,   r-   r(   r&   rS   rS   T           Dr(   rS   c                       e Zd ZdS )InheritDiamondOverwriteTagNrT   r-   r(   r&   rW   rW   X   rU   r(   rW   c                   :    e Zd ZdZ ej        dg          fdZdS )ModifyInitParamsz_Deprecated behavior.
    Equal parameters but with a type cast.
    Doesn't fulfill a is a
    r   c                 8    |                                 | _        d S r"   )copyr9   r%   r9   s     r&   r'   zModifyInitParams.__init__b   s    r(   N)r*   r+   r,   __doc__nparrayr'   r-   r(   r&   rY   rY   \   sC         
 "1#      r(   rY   c                       e Zd ZdZddZdS )Buggyz9A buggy estimator that does not set its parameters right.Nc                     d| _         d S N   r9   r\   s     r&   r'   zBuggy.__init__i   s    r(   r"   r*   r+   r,   r]   r'   r-   r(   r&   ra   ra   f   s.        ??     r(   ra   c                   $    e Zd Zd ZddZddZdS )NoEstimatorc                     d S r"   r-   r%   s    r&   r'   zNoEstimator.__init__n       r(   Nc                     | S r"   r-   r%   Xys      r&   fitzNoEstimator.fitq   s    r(   c                     d S r"   r-   r%   rn   s     r&   predictzNoEstimator.predictt   s    tr(   r4   r"   )r*   r+   r,   r'   rp   rs   r-   r(   r&   rh   rh   m   sK                  r(   rh   c                       e Zd ZdZd ZdS )VargEstimatorz-scikit-learn estimators shouldn't have vargs.c                     d S r"   r-   )r%   vargss     r&   r'   zVargEstimator.__init__{   rk   r(   Nrf   r-   r(   r&   ru   ru   x   s)        77    r(   ru   c                     ddl m} m}  | |d          }t          |          }||usJ |                                |                                k    sJ  | |t          j        d                    }t          |          }||usJ d S )Nr   	SelectFpr	f_classif皙?alpha)
      )sklearn.feature_selectionrz   r{   r	   
get_paramsr^   zerosrz   r{   selectornew_selectors       r&   
test_cloner      s     ?>>>>>>>y#...H??L<''''  L$;$;$=$=====y"(7*;*;<<<H??L<''''''r(   c                      ddl m} m}  | |d          }d|_        t	          |          }t          |d          rJ d S )Nr   ry   r|   r}   testown_attribute)r   rz   r{   r   r	   hasattrr   s       r&   test_clone_2r      s_     ?>>>>>>>y#...H#H??L|_5555555r(   c                     t                      } d| _        t          j        t                    5  t          |            d d d            n# 1 swxY w Y   t                      }t          j        t                    5  t          |           d d d            n# 1 swxY w Y   t                      }t          j        t                    5  t          |           d d d            n# 1 swxY w Y   t                      }t          j        t                    5  t          |           d d d            d S # 1 swxY w Y   d S )Nr   )
ra   r9   pytestraisesRuntimeErrorr	   rh   	TypeErrorru   rY   )buggyno_estimatorvarg_estests       r&   test_clone_buggyr      s   GGEEG	|	$	$  e               ==L	y	!	!  l               H	|	$	$  h               

C	|	$	$  c


                 sG   AAA=BB BC''C+.C+D66D:=D:c                  n   t          t          j        g                     } t          |           }t	          | j        |j                   t          t          j        t          j        dgg                              } t          |           }t	          | j        j        |j        j                   d S )Nr$   r   )	r    r^   r_   r	   r   r$   sp
csr_matrixdataclfclf2s     r&   test_clone_empty_arrayr      s    
BHRLL
)
)
)C::Dsy$*---
BM"(QC5//::
;
;
;C::Dsy~tz77777r(   c                  x    t          t          j                  } t          |           }| j        |j        u sJ d S Nr   )r    r^   nanr	   r$   r   s     r&   test_clone_nanr      s:    
BF
#
#
#C::D9
""""""r(   c                  h    dt                      i} t          |           }| d         |d         usJ d S )Nr9   )r    r	   )origcloneds     r&   test_clone_dictr      s:    D4[[F9F3K''''''r(   c                  z   fdt          t                    D             } | D ] t          j        d                    }t	          |          }t          |          }|j        j        |j        j        u sJ t          |j        	                                |j        	                                           d S )Nc                     g | ]D}|                     d           r-t          t          t          |          x          t          u BES )_matrix)endswithtypegetattrr   ).0nameclss     r&   
<listcomp>z.test_clone_sparse_matrices.<locals>.<listcomp>   s[       ==## )-GB4E4E-ES(F(F$(N(N 	(N(N(Nr(      r   )
dirr   r^   eyer    r	   r$   rE   r   toarray)sparse_matrix_classessparse_matrixr   
clf_clonedr   s       @r&   test_clone_sparse_matricesr      s       GG   % L LBF1II...3ZZ
y"j&6&@@@@@39,,..
0@0H0H0J0JKKKKL Lr(   c                  n    t          t                     } t          |           }| j        |j        u sJ d S r   )r    r	   r$   r   s     r&   test_clone_estimator_typesr      s:     K
(
(
(C::D9
""""""r(   c                      d} t          j        t          |           5  t          t                     d d d            d S # 1 swxY w Y   d S )Nz8You should provide an instance of scikit-learn estimatormatch)r   r   r   r	   r    )msgs    r&   %test_clone_class_rather_than_instancer      s     EC	y	,	,	,  k                 s   A  AAc                  &   t                      } t          |            t          t                      t                                }t          |          dk    sJ t          dgdz            }t	          t          |                    dk    sJ d S )NzT(a=K(), b=K())long_paramsi  re   i  )r    reprr7   r/   len)my_estimatorr   some_ests      r&   	test_reprr      s    ==LQSS!##;;D::*****M?T)***HtH~~#%%%%%%r(   c                  @    t                      } t          |            d S r"   )r    str)r   s    r&   test_strr      s    ==Lr(   c                     t          t                      t                    } d|                     d          v sJ d|                     d          vsJ |                     d           | j        j        dk    sJ t          j        t                    5  |                     d           d d d            d S # 1 swxY w Y   d S )Na__dT)deepFr   )r   )a__a)	r7   r/   r   
set_paramsr9   r2   r   r   
ValueError)r   s    r&   test_get_paramsr     s    QSS!99DT__$_//////e444444OOO68q====	z	"	"    Q                                   s   B;;B?B?c                  X   t          j        t          d          5  t          t                    sJ 	 d d d            n# 1 swxY w Y   t          j        t          d          5  t          t                    sJ 	 d d d            n# 1 swxY w Y   t          j        t          d          5  t          t                    sJ 	 d d d            n# 1 swxY w Y   t          j        t          d          5  t          t                    sJ 	 d d d            d S # 1 swxY w Y   d S )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	O	O " "S!!!!!!" " " " " " " " " " " " " " " 
m+N	O	O	O ! !C      ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 
m+N	O	O	O $ $F######$ $ $ $ $ $ $ $ $ $ $ $ $ $ $ 
m+N	O	O	O 4 4"?3333334 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4sG   A  AA&B

BB0CCC:DD#&D#zestimator, expected_resultTCr|   rd   svcsvc_cvFsvrsvr_cvc                 0    t          |           |k    sJ d S r"   )r
   	estimatorexpected_results     r&   test_is_classifierr     s#     ##666666r(   c                 0    t          |           |k    sJ d S r"   )r   r   s     r&   test_is_regressorr   /  #     	""o555555r(   
n_clusters      kmkm_cvc                 0    t          |           |k    sJ d S r"   )r   r   s     r&   test_is_clustererr   @  r   r(   c                  `   t          dt                      fg          } t          j        t                    5  |                     d           d d d            n# 1 swxY w Y   t          j        t                    5  |                     d           d d d            d S # 1 swxY w Y   d S )Nr   T)svc__stupid_param)svm__stupid_param)r   r   r   r   r   r   )r   s    r&   test_set_paramsr   Q  s   
UCEEN#
$
$C 
z	"	" / /.../ / / / / / / / / / / / / / / 
z	"	" / /.../ / / / / / / / / / / / / / / / / /s#   AA"A?B##B'*B'c                       G fddt                     } dddt          d |             fg          t           |             i           fD ]}|                    dd           d S )Nc                   "     e Zd Z fdZ xZS )?test_set_params_passes_all_parameters.<locals>.TestDecisionTreec                 J     t                      j        di | |k    sJ | S )Nr-   )r?   r   )r%   kwargsrE   expected_kwargss     r&   r   zJtest_set_params_passes_all_parameters.<locals>.TestDecisionTree.set_paramsh  s6    EGG(((((_,,,,Kr(   )r*   r+   r,   r   rG   )rE   r   s   @r&   TestDecisionTreer   g  s>        	 	 	 	 	 	 	 	 	 	r(   r   r   r   )	max_depthmin_samples_leafr   )estimator__max_depthestimator__min_samples_leaf)r   r   r   r   )r   r   r   s     @r&   %test_set_params_passes_all_parametersr   c  s          1    %&1==O; 0 0 2 23455%%'',, N N 	A1MMMM	N Nr(   c                      t          t                      i           } |                     t                      d           | j        j        dk    sJ d S )Ng      E@)r   estimator__C)r   r   r   r   r   r   )gscvs    r&   $test_set_params_updates_valid_paramsr   v  sP     .00"55DOOcee$O777>t######r(   ztree,datasetr   )r   random_state)r   c                 D   t           j                            d          }|\  }}|                     ||           |                    ddt          |                    }|                     ||          }|                     |||          }d}||k    s
J |            d S )Nr   rd   r   )size)sample_weightz5Unweighted and weighted scores are unexpectedly equal)r^   randomRandomStaterp   randintr   score)	treedatasetrngrn   ro   r  score_unweightedscore_weightedr   s	            r&   test_score_sample_weightr  ~  s     )


"
"CDAqHHQNNNKK2CFFK33Mzz!Q''ZZ1MZBBN
AC~---s-----r(   c                  ,    G d dt           t                    } t          j        d          }t	          |          } | |d          }t          |          }|j        |j        k    j                                        sJ |j	        |j	        k    sJ d S )Nc                   (    e Zd ZdZddZddZd ZdS )	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
        -----
        Nrd   c                 "    || _         || _        d S r"   )dfscalar_param)r%   r  r  s      r&   r'   z<test_clone_pandas_dataframe.<locals>.DummyEstimator.__init__  s    DG ,Dr(   c                     d S r"   r-   rm   s      r&   rp   z7test_clone_pandas_dataframe.<locals>.DummyEstimator.fit      Dr(   c                     d S r"   r-   rr   s     r&   	transformz=test_clone_pandas_dataframe.<locals>.DummyEstimator.transform  r  r(   rc   r"   )r*   r+   r,   r]   r'   rp   r  r-   r(   r&   DummyEstimatorr    sU        	 		- 	- 	- 	-	 	 	 		 	 	 	 	r(   r  r   rd   )r  )
r   r   r^   aranger   r	   r  valuesallr  )r  r2   r  ecloned_es        r&   test_clone_pandas_dataframer    s        )=   6 		"A	q		Br***AQxxH DHK'++----->X2222222r(   c                      G d dt                     } t          j        ddgddgddgg          }t                                          |          }|j        } | |          }t          |j        |           t          |                                |                                           t          j	        ddgddgd	dgg          }|                    |           t          |j        |           |
                    |           t          |j        |           t          |          }||u sJ t          |j        |           d
S )z:Checks that clone works with `__sklearn_clone__` protocol.c                   ,    e Zd Zd Zd Zd Zd Zd ZdS ),test_clone_protocol.<locals>.FrozenEstimatorc                     || _         d S r"   )fitted_estimator)r%   r!  s     r&   r'   z5test_clone_protocol.<locals>.FrozenEstimator.__init__  s    $4D!!!r(   c                 ,    t          | j        |          S r"   )r   r!  )r%   r   s     r&   __getattr__z8test_clone_protocol.<locals>.FrozenEstimator.__getattr__  s    40$777r(   c                     | S r"   r-   rj   s    r&   __sklearn_clone__z>test_clone_protocol.<locals>.FrozenEstimator.__sklearn_clone__      Kr(   c                     | S r"   r-   r%   argsr   s      r&   rp   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(2DCFCCCr(   N)r*   r+   r,   r'   r#  r%  rp   r+  r-   r(   r&   FrozenEstimatorr    sd        	5 	5 	5	8 	8 	8	 	 		 	 		D 	D 	D 	D 	Dr(   r,  r   r      rd   N)r   r^   r_   r   rp   components_r   r   get_feature_names_outasarrayr+  r	   )r,  rn   pca
components
frozen_pcaX_newclone_frozen_pcas          r&   test_clone_protocolr9    sk   D D D D D- D D D  	2r(RHr2h/00A
%%))A,,CJ %%JJ*J777 z77993;T;T;V;VWWW JQ!Q!Q011ENN5J*J777 U###J*J777 Z((z))))$0*=====r(   c                     t          j                    } t                                          | j        | j                  }t          j        |          }d|v sJ t          j	                    5  t          j
        d           t          j        |          }d d d            n# 1 swxY w Y   |                    | j        | j                  }|                    | j        | j                  }||k    sJ d S )N   _sklearn_versionerror)r   	load_irisr   rp   r   targetpickledumpswarningscatch_warningssimplefilterloadsr  )irisr  tree_pickletree_restoredscore_of_originalscore_of_restoreds         r&   ?test_pickle_version_warning_is_not_raised_with_matching_versionrJ    s   D!##''	4;??D,t$$K+----		 	"	" 2 2g&&&[112 2 2 2 2 2 2 2 2 2 2 2 2 2 2
 

49dk::%++DIt{CC 1111111s   -)B""B&)B&c                       e Zd Zd ZdS )TreeBadVersionc                 R    t          | j                                        d          S )N	something)_sklearn_version)dict__dict__itemsrj   s    r&   __getstate__zTreeBadVersion.__getstate__  s#    DM''))KHHHHr(   Nr*   r+   r,   rS  r-   r(   r&   rL  rL    s(        I I I I 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                  }t          j        |          }t          	                    ddt          j                  }t          j        t          |          5 }t          j        |           d d d            n# 1 swxY w Y   |j        d         j        }t%          |t&                    sJ |j        dk    sJ |j        dk    sJ |j        t          j        k    sJ d S )NrL  rN  r   old_versioncurrent_versionr   r   )r   r=  rL  rp   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  	  sN   D	4;77DT**"))"+ *  G
 
k	1	1	1 (^&'''( ( ( ( ( ( ( ( ( ( ( ( ( ( ( !!$,Gg9:::::!%55555+{::::*g.AAAAAAAs   B77B;>B;c                       e Zd Zd ZdS )TreeNoVersionc                     | j         S r"   )rQ  rj   s    r&   rS  zTreeNoVersion.__getstate__  s
    }r(   NrT  r-   r(   r&   rh  rh    s#            r(   rh  c                     t          j                    } t                                          | j        | j                  }t          j        |          }d|vsJ t          	                    ddt          j                  }t          j        t          |          5  t          j        |           d d d            d S # 1 swxY w Y   d S )Nr;  rh  zpre-0.18rV  r   )r   r=  rh  rp   r   r>  r?  r@  rY  rZ  r[  r\  r   r   r]  rD  )rE  r  tree_pickle_noversionr_  s       r&   Dtest_pickle_version_warning_is_issued_when_no_version_info_in_picklerl  !  s   D??ty$+66D"L..&;;;;;"))!+ *  G 
k	1	1	1 , ,*+++, , , , , , , , , , , , , , , , , ,s   B>>CCc                     t          j                    } t                                          | j        | j                  }t          j        |          }	 t          j        }dt          _        t          j
                    5  t          j        d           t          j        |           d d d            n# 1 swxY w Y   |t          _        d S # |t          _        w xY w)N
notsklearnr<  )r   r=  rh  rp   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  2  s    D??ty$+66D"L..	1%0#/ $&& 	0 	0!'***L.///	0 	0 	0 	0 	0 	0 	0 	0 	0 	0 	0 	0 	0 	0 	0
 $1   = 0000s0   +C  )B5)C 5B99C <B9=C Cc                       e Zd Zd Zd ZdS )DontPickleAttributeMixinc                 B    | j                                         }d |d<   |S N_attribute_not_pickled)rQ  r[   )r%   r   s     r&   rS  z%DontPickleAttributeMixin.__getstate__C  s%    }!!##)-%&r(   c                 D    d|d<   | j                             |           d S )NT	_restored)rQ  update)r%   states     r&   __setstate__z%DontPickleAttributeMixin.__setstate__H  s(    !kU#####r(   N)r*   r+   r,   rS  rz  r-   r(   r&   rr  rr  B  s2          
$ $ $ $ $r(   rr  c                       e Zd ZddZdS )MultiInheritanceEstimatorr   c                 "    || _         d | _        d S r"   attribute_pickledru  r%   r  s     r&   r'   z"MultiInheritanceEstimator.__init__N      !2&*###r(   Nr   r)   r-   r(   r&   r|  r|  M  s(        + + + + + +r(   r|  c                      t                      } d| _        t          j        |           }t          j        |          }|j        dk    sJ |j        J |j        sJ d S N$this attribute should not be pickledr   )r|  ru  r?  r@  rD  r  rw  r   
serializedestimator_restoreds      r&   3test_pickling_when_getstate_is_overwritten_by_mixinr  S  sl    )++I'MI$i((Jj11/144444<<<''''''r(   c                     	 t                      } d}|| _        t          |           j        }dt          |           _        |                                 }|d ddk    sJ d|d<   |                     |           | j        dk    sJ | j        sJ 	 |t          |           _        d S # |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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 )SingleInheritanceEstimatorr   c                 "    || _         d | _        d S r"   r~  r  s     r&   r'   z#SingleInheritanceEstimator.__init__r  r  r(   c                 R    t                                                      }d |d<   |S rt  )r?   rS  )r%   ry  rE   s     r&   rS  z'SingleInheritanceEstimator.__getstate__v  s(    $$&&*.&'r(   r  )r*   r+   r,   r'   rS  rG   rH   s   @r&   r  r  q  sL        + + + +        r(   r  c                      t                      } d| _        t          j        |           }t          j        |          }|j        dk    sJ |j        J d S r  )r  ru  r?  r@  rD  r  r  s      r&   Ctest_pickling_works_when_getstate_is_overwritten_in_the_child_classr  |  s]    *,,I'MI$i((Jj11/144444<<<<<r(   c                     t                      } t                      }|                                 j        j        sJ |                                j        j        rJ t                      }|                                j        j        rJ t                      }|                                j        j        sJ t                      }|                                j        j        sJ d S r"   )r<   rK   r@   rA   rB   rP   rS   rW   )nan_tag_estno_nan_tag_estredefine_tags_estdiamond_tag_estinherit_diamond_tag_ests        r&   test_tag_inheritancer    s     ((KZZN''))4>>>>..00;EEEE# 1133>HHHH)++O++--8BBBB8::"3355@JJJJJJr(   c                       G d dt                     }  |             }d}t          j        t          |          5  |                                 d d d            d S # 1 swxY w Y   d S )Nc                       e Zd ZddZddZdS )<test_raises_on_get_params_non_attribute.<locals>.MyEstimatorr   c                     d S r"   r-   )r%   params     r&   r'   zEtest_raises_on_get_params_non_attribute.<locals>.MyEstimator.__init__  r  r(   Nc                     | S r"   r-   rm   s      r&   rp   z@test_raises_on_get_params_non_attribute.<locals>.MyEstimator.fit  r&  r(   r  r"   )r*   r+   r,   r'   rp   r-   r(   r&   r    r    s<        	 	 	 		 	 	 	 	 	r(   r    z-'MyEstimator' object has no attribute 'param'r   )r   r   r   AttributeErrorr   )r    r   r   s      r&   'test_raises_on_get_params_non_attributer    s        m    +--C
9C	~S	1	1	1                   s   AA!$A!c                      t                      } |                                 }d|v sJ d|v sJ t          d          5  |                                 }d|v sJ d|vsJ 	 d d d            d S # 1 swxY w Y   d S )Nz
text/plainz	text/htmlr  display)r   _repr_mimebundle_r   )r  outputs     r&   test_repr_mimebundle_r    s    !##D##%%F6!!!!&    		'	'	' ) )''))v%%%%&((((() ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )s   !A..A25A2c                  :   t                      } |                                 }d|v sJ t          d          5  d}t          j        t
          |          5  |                                 }d d d            n# 1 swxY w Y   d d d            d S # 1 swxY w Y   d S )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$   !##DF		'	'	' ( (0]>555 	( 	(%%''F	( 	( 	( 	( 	( 	( 	( 	( 	( 	( 	( 	( 	( 	( 	(( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( (s5   BA8,B8A<	<B?A<	 BBBc                      t                      } g dg dg}t          | |d           | j        dk    sJ d}t          j        t
          |          5  t          | dd	           d
d
d
           d
S # 1 swxY w Y   d
S )z>Check that `_check_n_features` validates data when reset=False)rd   r   r   )r0  r      Tresetr   zHX does not contain any features, but MyEstimator is expecting 3 featuresr   	invalid XFN)r    r   n_features_in_r   r   r   )r   X_trainr   s      r&   test_n_features_in_validationr    s    
--Cyy)))$Gc7$////""""
TC	z	-	-	- 9 9#{%88889 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9s   A33A7:A7c                      t                      } t          | dd           t          | d          rJ t          | dd           dS )z]Check that `_check_n_features` does not validate data when
    n_features_in_ is not defined.r  Tr  r  FN)r    r   r   )r   s    r&    test_n_features_in_no_validationr    sV     --Cc;d3333s,----- c;e444444r(   c                  :   t          j        d          } t          j                    }|j        }|                     ||j                  } G d dt          t                    } |            	                    |          }t          |j        |j                   |	                    |           t          |d          rJ |	                    |           d}|                     ||j        ddd                   }t          j        t          |	          5  |                    |           ddd           n# 1 swxY w Y   d
}t          j        t$          |	          5  |                    |           ddd           n# 1 swxY w Y   d} |            	                    |          }t          j        t$          |	          5  |                    |           ddd           n# 1 swxY w Y   |                     |          } |            }t'          j                    5  t'          j        dt$                     |	                    |           ddd           n# 1 swxY w Y   ||g}	|	D ]\}
t'          j                    5  t'          j        dt$                     |                    |
           ddd           n# 1 swxY w Y   ]|                     |g d          } |            }t-          j        d          }t          j        t0          |	          5  |	                    |           ddd           n# 1 swxY w Y   t          j        t0          |	          5  |                    |           ddd           dS # 1 swxY w Y   dS )z;Check that feature_name_in are recorded by `_validate_data`pandascolumnsc                       e Zd ZddZd ZdS ).test_feature_names_in.<locals>.NoOpTransformerNc                 &    t          | |           | S r"   r   rm   s      r&   rp   z2test_feature_names_in.<locals>.NoOpTransformer.fit      $"""Kr(   c                 *    t          | |d           |S NFr  r  rr   s     r&   r  z8test_feature_names_in.<locals>.NoOpTransformer.transform  s    $////Hr(   r"   r*   r+   r,   rp   r  r-   r(   r&   NoOpTransformerr    s7        	 	 	 		 	 	 	 	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<  )r9   r:   rd   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   rp   r   r  r  r   r   r   r  r   r]  rA  rB  rC  reescaper   )pdrE  X_npr  r  transr   df_baddf_int_namesXsrn   df_mixeds               r&   test_feature_names_inr    s:   		X	&	&BD9D	dD$6	7	7B    *M    O!!"%%Eu.
;;; 
IIdOOOu122222	IIbMMM
AC\\$(:44R4(@\AAF	z	-	-	-                                 
	$  
k	-	-	-                 VCO!!$''E	k	-	-	-                 <<%%LOE		 	"	"    g{333		,                              	B  $&& 	 	!';777OOA	 	 	 	 	 	 	 	 	 	 	 	 	 	 	
 ||D*:*:*:|;;HOE
)	? C 
y	,	,	,  		(               
y	,	,	, " "!!!" " " " " " " " " " " " " " " " " "s~   D;;D?D?#FF	F	
G,,G03G0)0I%%I),I)0KK	K	%MMM-NNNc                     t          j        d          } t          j                    }|                     |j        |j                  }|                     |j                  } G d dt          t                    } |            }t          ||d          }t          |t          j                  sJ t          ||                                           t          ||d          }||u sJ t          ||d          }t          |t          j                  sJ t          ||                                           t          ||d          }	|	|u sJ t          |||d          \  }}t          |t          j                  sJ t          ||                                           t          |t          j                  sJ t          ||                                           t          |||d          \  }}	||u sJ |	|u sJ d	}
t          j        t$          |

          5  t          |           ddd           dS # 1 swxY w Y   dS )z0Check skip_check_array option of _validate_data.r  r  c                       e Zd ZdS )<test_validate_data_skip_check_array.<locals>.NoOpTransformerNrT   r-   r(   r&   r  r  0          r(   r  F)skip_check_arrayT)ro   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  rE  r  ro   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	di);	<	<B
		$+A    *M    OEUB???Hh
+++++Hbkkmm,,,UB>>>Hr>>>>Ua%@@@Hh
+++++Hajjll+++ !dCCCL1&ub!eLLLHhh
+++++Hbkkmm,,,h
+++++Hajjll+++*5"a$OOOHlr>>>>1
6C	z	-	-	-  e                 s   'IIIc                      t                                          d          } t          d|           }t          |           }t          d|          }||k    sJ dS )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  s`     
			$	$x	$	8	8BR00FRyyH%k8<<L\!!!!!!r(   c                       e Zd ZdS )_EmptyNrT   r-   r(   r&   r  r  \  rU   r(   r  c                       e Zd ZdS )EmptyEstimatorNrT   r-   r(   r&   r  r  `  rU   r(   r  r   c                     |                                  }dt          j        i}||k    sJ t          j        t          j        t                                           dS )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  d  sY     ""$$E"G$78HH Lmoo../////r(   c                      G d d          }  G d dt           |           }d}t          j        t          |          5   |                                             ddd           n# 1 swxY w Y   t          j        t          |          5  t          j         |                       ddd           dS # 1 swxY w Y   dS )z:Using a `BaseEstimator` with `__slots__` is not supported.c                       e Zd ZdZdS )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dS )Dtest_estimator_getstate_using_slots_error_message.<locals>.EstimatorNrT   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   rS  r?  r@  )r  r  r   s      r&   1test_estimator_getstate_using_slots_error_messager  t  su              M9   	' 
 
y	,	,	, # #	  """# # # # # # # # # # # # # # # 
y	,	,	, " "YY[[!!!" " " " " " " " " " " " " " " " " "s#   A((A,/A,B88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                    } |            }|                    |           t	          |j        |           |                    |          }| dk    rt          ||           g d}t          || |	          }	t          j	        t          d
          5  |                    |	           ddd           dS # 1 swxY w Y   dS )z:Uses the dataframe exchange protocol to get feature names.)rd   r0  r   )r   r   r  )col_0col_1col_2)columns_name
minversionc                       e Zd ZddZd ZdS )0test_dataframe_protocol.<locals>.NoOpTransformerNc                 &    t          | |           | S r"   r  rm   s      r&   rp   z4test_dataframe_protocol.<locals>.NoOpTransformer.fit  r  r(   c                 &    t          | |d          S r  r  rr   s     r&   r  z:test_dataframe_protocol.<locals>.NoOpTransformer.transform  s     q6666r(   r"   r  r-   r(   r&   r  r    s7        	 	 	 		7 	7 	7 	7 	7r(   r  r  )r9   r:   r1   )r  zThe feature names should matchr   N)r   r   r   rp   r   r  r  r   r   r   r   )
constructor_namer  r   r  r  r  r  X_out	bad_namesr  s
             r&   test_dataframe_protocolr    su    IIyyy!D)))G	W
 
 
B7 7 7 7 7*M 7 7 7 OE	IIbMMMu.888OOBE9$$ 	E"""I&6YOOOF	z)I	J	J	J                                       s   	C,,C03C0)enable_metadata_routingc                      G d dt           t                    } t          j        t          d          5   |                                 d                              dggdgd           ddd           n# 1 swxY w Y   t          j        d	          5 } |                                 d                              dggdg           t          |          d
k    sJ 	 ddd           dS # 1 swxY w Y   dS )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dS )Ttest_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformerNc                     | S r"   r-   r%   rn   ro   props       r&   rp   zXtest_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformer.fit  r&  r(   c                     |S r"   r-   r%   rn   r  s      r&   r  z^test_transformer_fit_transform_with_metadata_in_transform.<locals>.CustomTransformer.transform      Hr(   r4   r"   r  r-   r(   r&   CustomTransformerr    <        	 	 	 		 	 	 	 	 	r(   r  z*`transform` method which consumes metadatar   Tr  rd   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	V	V 
 
11t1<<JJSEA3Q 	K 	
 	
 	

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	 	-	-	-  11t1<<JJQC5STRUVVV6{{a                                   $   8A99A= A=AC22C69C6c                      G d dt           t                    } t          j        t          d          5   |                                 d                              dggdgd           ddd           n# 1 swxY w Y   t          j        d	          5 } |                                 d                              dggdg           t          |          d
k    sJ 	 ddd           dS # 1 swxY w Y   dS )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dS )Vtest_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetectorNc                     | S r"   r-   r  s       r&   rp   zZtest_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetector.fit  r&  r(   c                     |S r"   r-   r  s      r&   rs   z^test_outlier_mixin_fit_predict_with_metadata_in_predict.<locals>.CustomOutlierDetector.predict  r  r(   r4   r"   )r*   r+   r,   rp   rs   r-   r(   r&   CustomOutlierDetectorr    r  r(   r  z(`predict` method which consumes metadatar   Tr  rd   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	T	T 
 
333>>JJSEA3Q 	K 	
 	
 	

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	 	-	-	-  333>>JJQC5STRUVVV6{{a                                   r  )xr?  r  rA  numpyr^   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.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    r/   r7   r<   rK   rP   rS   rW   rY   ra   rh   ru   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-   r(   r&   <module>r9     sw    				             ) ) ) ) ) )  , , , , , , , ,	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 # " " " " " % % % % % % , , , , , , 9 9 9 9 9 9 0 0 0 0 0 0 % % % % % % 0 0 0 0 0 0                 F F F F F F F F 0 0 0 0 0 0 8 8 8 8 8 8        F E E E E E E E
    -                     ]       }       &   	 	 	 	 	&( 	 	 		 	 	 	 	!4 	 	 	    }       M              M   ( ( ($6 6 6  (8 8 8# # #( ( (L L L# # #  & & &  
  
  
 4 4 4  		cceecC8_	-	-t4	E3355>"	#	#T*	Hll33553a/BBCD	E	EtL		cceecC8_	-	-u5	E3355>"	#	#U+	Hll33553a/BBCD	E	EuM	 7 7 7  		cceecC8_	-	-t4	E3355>"	#	#T*	Hll33553a/BBCD	E	EtL		cceecC8_	-	-u5	E3355>"	#	#U+	Hll33553a/BBCD	E	EuM	 6 6 6  	4	ffhh1v 6	7	7>	D&&((#$	%	%t,	G\\&&((\Aq64JKKLM	N	NPTU		cceecC8_	-	-u5	E3355>"	#	#U+	Hll33553a/BBCD	E	EuM	 6 6 6
/ 
/ 
/$N N N&$ $ $  #"QQ???(H(a888	

 "!AA>>>$H$!444	
	 3 3 3#3 #3 #3L)> )> )>X2 2 2 I I I I I+ I I I B B B&    *   
, , ,"1 1 1 $ $ $ $ $ $ $ $+ + + + + 8- + + +( ( (- - -&       = = =K K K$  
) 
) 
)
( 
( 
(
9 
9 
9	5 	5 	5K" K" K"\& & &R" " "	 	 	 	 	 	 	 		 	 	 	 	V] 	 	 	 }}8H8H&IJJ0 0 KJ0" " "* "        @ ---    .- 2 ---    .-     r(   