
    Q3jA                        d dl Z d dlZd dlZd dlmZ d dlmZmZ d dl	m
Z
mZ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  e
d      \  ZZ eed      Zedd edd cZ Z!ejD                  jG                  d e       df e       ddgf ed      df ed      ddgf e       df e       df e       ddgfg      d        Z$ejD                  jG                  d e       df edd       df edd       df edd       ddgf ed       df ed       df ed       ddgfg      ejD                  jG                  dddg      d               Z%ejD                  jG                  dg d      d        Z&ejD                  jG                  ddd g      d!        Z'ejD                  jG                  dddg      d"        Z(ejD                  jG                  dddg      ejD                  jG                  ddd g      d#               Z)ejD                  jG                  d$ e       e e!d%dd&if e       e e!d'd&d(d)f e       eed*ddifg      d+        Z*ejD                  jG                  dddg      d,        Z+ejD                  jG                  dddg      d-        Z,ejD                  jG                  d edd .      df edd .      d f e       dfg      d/        Z-d0 Z.ejD                  jG                  dg d1      d2        Z/d3 Z0ejD                  jG                  d4 e       dd5d6f e       dd5d6f e       dd5d6f e       dd7d6f e       dd7d8f e       dd7d8f e e             dd9d:f e e             dd9d:f e e             dd9d:f e       dd5d6f e       dd7d6f e       dd5d6f e       dd7d6f ed      dd5d6f ed;      dd7d6fg      d<        Z1y)=    N)clone)DBSCANKMeans)	load_irismake_classificationmake_multilabel_classification)IsolationForest)LinearRegressionLogisticRegression)ClassifierChain)scale)DecisionTreeClassifierDecisionTreeRegressor)_get_response_values_get_response_values_binary)assert_allcloseT)
return_X_yF)copyd   zestimator, response_methodpredict_probadecision_function   )
n_clusterspredictscorec                 L   t         j                  j                  d      j                  dd      t        j                  ddgdz        }}t        |       j                  ||      } d}t        j                  t        |      5  t        | ||       d	d	d	       y	# 1 sw Y   y	xY w)
z;Check the error message with not supported response method.r   
   r         z%has none of the following attributes:matchresponse_methodN)nprandomRandomStaterandnarrayr   fitpytestraisesAttributeErrorr   )	estimatorr#   Xyerr_msgs        N/DATA/.local/lib/python3.12/site-packages/sklearn/utils/tests/test_response.py#test_estimator_unsupported_responser2      s     99  #))"a0"((Aq6A:2FqAi $$Q*I5G	~W	5+	
 
6	5	5s   BB#)r   random_stater3   return_response_method_usedc                    t         j                  j                  d      j                  dd      t        j                  ddgdz        }}t        |       j                  ||      } t        | |||      }t        |t              r|d   n|}t        | |      }t        |d    ||             |d   J |r|d   |k(  sJ yy)z.Check the behaviour of `_get_response_values`.r   r   r   r   r   r#   r5   N)r$   r%   r&   r'   r(   r   r)   r   
isinstancelistgetattrr   )r-   r#   r5   r.   r/   resultschosen_response_methodprediction_methods           r1   "test_estimator_get_response_valuesr>   4   s    " 99  #))"a0"((Aq6A:2FqAi $$Q*I"	'$?	G )$?_   	+ABGAJ 1! 451:"qz3333 #    r#   )r   r   r   predict_log_probac                     t        ddd      \  }}t               j                  ||      }d}t        j                  t
        |      5  t        ||| d       d	d	d	       y	# 1 sw Y   y	xY w)
zVCheck that `_get_response_values` raises the proper error message with
    classifier.r   r   r   	n_samples	n_classesr3   zDpos_label=whatever is not a valid label: It should be one of \[0 1\]r    whateverr#   	pos_labelN)r   r   r)   r*   r+   
ValueErrorr   )r#   r.   r/   
classifierr0   s        r1   5test_get_response_values_classifier_unknown_pos_labelrJ   W   sa     qqIDAq#%))!Q/J VG	z	1+ 		
 
2	1	1s   	A""A+r@   c                    t        ddd      \  }}t        j                  |      }t               j	                  ||      }d}t        j                  t        |      5  t        |||        ddd       y# 1 sw Y   yxY w)	zpCheck that `_get_response_values` will raise an error when `y_pred` has a
    single class with `predict_proba`.r   r   r   rB   zJGot predict_proba of shape \(10, 1\), but need classifier with two classesr    r"   N)	r   r$   
zeros_liker   r)   r*   r+   rH   r   )r#   r.   y_two_classy_single_classrI   r0   s         r1   Htest_get_response_values_classifier_inconsistent_y_pred_for_binary_probarO   l   sl     )2QRSNA{]];/N')--a@J	  
z	1ZOL 
2	1	1s   A66A?c                    t        ddddgd      \  }}t               j                  ||      }d}t        |||d| 	      }t	        |d   |j                  |             |d
   d
k(  sJ | r
|d   dk(  sJ t        ||||j                  d   | 	      }t	        |d   |j                  |      dz         |d
   dk(  sJ | r|d   dk(  sJ yy)zaCheck the behaviour of `_get_response_values` with `decision_function`
    and binary classifier.r   r   333333?ffffff?r   rC   rD   weightsr3   r   Nr#   rG   r5   r   )r   r   r)   r   r   r   classes_)r5   r.   r/   rI   r#   r;   s         r1   <test_get_response_values_binary_classifier_decision_functionrX   ~   s    c
	DAq $%))!Q/J)O #	'$?G GAJ
 < <Q ?@1:??"qz0000 #	'%%a($?G GAJ
 < <Q ?" DE1:??"qz0000 #r?   c                    t        ddddgd      \  }}t               j                  ||      }t        |||d|       }t	        |d    t        ||      |      ddd	f          |d	   d	k(  sJ | rt        |      d
k(  sJ |d   |k(  sJ t        |      dk(  sJ t        ||||j                  d   |       ^}}}t	        | t        ||      |      dddf          |dk(  sJ y)zQCheck that `_get_response_values` with `predict_proba` and binary
    classifier.r   r   rQ   rR   r   rS   NrU   r      )r   r   r)   r   r   r:   lenrW   )	r5   r#   r.   r/   rI   r;   y_predrG   _s	            r1   8test_get_response_values_binary_classifier_predict_probar^      s"    c
	DAq $%))!Q/J #	'$?G GAJ D
O DQ G1 MN1:??"7|q   qz_,,,7|q    1	'%%a($?FI F@GJ@CAqDIJ>>r?   z estimator, X, y, err_msg, paramsz.Expected 'estimator' to be a binary classifierautozCpos_label=unknown is not a valid label: It should be one of \[0 1\]unknownrF   z.be a binary classifier. Got 3 classes instead.c                     t        |       j                  ||      } t        j                  t        |      5  t        | |fi | ddd       y# 1 sw Y   yxY w)zMCheck that we raise the proper error messages in _get_response_values_binary.r    N)r   r)   r*   r+   rH   r   )r-   r.   r/   r0   paramss        r1   test_get_response_errorrc      sD    : i $$Q*I	z	1#Iq;F; 
2	1	1s   AAc                    t               j                  t        t              }t	        |t        d|       }t        |d   |j                  t              dddf          |d   dk(  sJ | r
|d   dk(  sJ t	        |t        dd|       }t        |d   |j                  t              dddf          |d   dk(  sJ | r|d   dk(  sJ yy)zKCheck the behaviour of `_get_response_values_binary` using `predict_proba`.r   r7   r   Nr   r   rU   )r   r)   X_binaryy_binaryr   r   r   r5   rI   r;   s      r1   test_get_response_predict_probarh      s     ()--hAJ)'$?	G GAJ
 8 8 B1a4 HI1:??"qz_,,,)'$?G GAJ
 8 8 B1a4 HI1:??"qz_,,, #r?   c                 ~   t               j                  t        t              }t	        |t        d|       }t        |d   |j                  t                     |d   dk(  sJ | r
|d   dk(  sJ t	        |t        dd|       }t        |d   |j                  t              dz         |d   dk(  sJ | r|d   dk(  sJ yy)	zMCheck the behaviour of `_get_response_values_binary` using decision_function.r   r7   r   r   r   rU   rV   N)r   r)   re   rf   r   r   r   rg   s      r1   #test_get_response_decision_functionrj     s     $%))(H=J)+$?	G GAJ
 < <X FG1:??"qz0000)+$?G GAJ
 < <X F KL1:??"qz0000 #r?   )	max_depthr3   c                    t        |       j                  t        t              } t	        | t        |      \  }}|J |j
                  t        j
                  d   t        | j                        fk(  sJ |dk(  r-t        j                  |dk\  |dk        j                         sJ y|dk(  r|dk  j                         sJ yy)zCheck that we can call `_get_response_values` with a multiclass estimator.
    It should return the predictions untouched.
    r"   Nr   r   r   r@   g        )r   r)   r.   r/   r   shaper[   rW   r$   logical_andall)r-   r#   predictionsrG   s       r1   #test_get_response_values_multiclassrq   -  s     i $$Q*I11oK S1C1C-D EEEE/)~~kQ.q0@AEEGGG	/	/s"''))) 
0r?   c                  n   t               j                  t        t              } t	        | t        ddgd      \  }}}t        || j                  t              dddf          |dk(  sJ |dk(  sJ t	        | t        ddgd      \  }}}t        || j                  t                     |dk(  sJ |dk(  sJ y)zMCheck the behaviour of passing a list of responses to `_get_response_values`.r   r   Tr7   Nr   )r   r)   re   rf   r   r   r   r   )rI   r\   rG   r#   s       r1   +test_get_response_values_with_response_listrs   F  s    #%))(H=J *>(*=>$(	*&FI FJ44X>q!tDE>>o--- *>,o>$(	*&FI FJ88BC>>1111r?   )r   r   r   c                    t        d      \  }}t        t                     j                  ||      }t	        |||       \  }}|J |j
                  |j
                  k(  sJ | dk(  r-t        j                  |dk\  |dk        j                         sJ y | dk(  r1|dk  j                         dkD  sJ |dkD  j                         dkD  sJ y t        j                  |dk(  |dk(        j                         sJ y )Nr   r4   r"   r   r   r   )r   r   r   r)   r   rm   r$   rn   ro   sum
logical_or)r#   r.   Yr-   r\   rG   s         r1   -test_get_response_values_multilabel_indicatorrx   a  s     *q9DAq 2 4599!Q?I,1oFI <<177"""/)~~fk6Q;7;;===	/	/
!A%%%
!A%%%}}Vq[&A+6::<<<r?   c                     t         j                  j                  d      j                  dd      } t        j                  t        j
                  d      d      }t               j                  | |      }t        j                         5  t        j                  dt               t        || d       d	d	d	       y	# 1 sw Y   y	xY w)
a  
    Ensure `_get_response_values` doesn't raise spurious warning.

    "The number of unique classes is greater than > 50% of samples"
    warning should not be raised when calling `type_of_target(classes_)`.

    Non-regression test for issue #31583.
    r   x   rZ         errorr   r"   N)r$   r%   r&   r'   repeataranger   r)   warningscatch_warningssimplefilterUserWarningr   )r.   r/   clfs      r1   9test_response_values_type_of_target_on_classes_no_warningr   x  s     			a &&sA.A
		"))B-#A


"
"1a
(C		 	 	"g{3S!_E 
#	"	"s   )B99Cz7estimator, response_method, target_type, expected_shapebinary)r   
multiclass)r   r|   
multilabel)r   r   r|   c                 l   t         j                  j                  d      j                  dd      }|dk(  rt        j                  ddgdz        }n(|dk(  rg d}nt        j                  ddgddggdz        }t        |       j                  ||      } t        | ||	      \  }}|j                  |k(  sJ y
)a  
    Check that output shape corresponds to docstring description

    - for binary classification, it is a 1d array of shape `(n_samples,)`;
    - for multiclass classification
        - with response_method="predict", it is a 1d array of shape `(n_samples,)`;
        - otherwise, it is a 2d array of shape `(n_samples, n_classes)`;
    - for multilabel classification, it is a 2d array of shape `(n_samples, n_outputs)`;
    - for outlier detection, regression and clustering,
      it is a 1d array of shape `(n_samples,)`.
    r   r   r   r   r   r   r   )
r   r   r   rZ   r   r   r   rZ   rZ   r   r"   N)	r$   r%   r&   r'   r(   r   r)   r   rm   )r-   r#   target_typeexpected_shaper.   r/   r\   r]   s           r1   "test_response_values_output_shape_r     s    N 			a &&r1-AhHHaVaZ 		$*HHq!fq!f%)*i $$Q*I$Y?SIFA<<>)))r?   )2r   numpyr$   r*   sklearn.baser   sklearn.clusterr   r   sklearn.datasetsr   r   r   sklearn.ensembler	   sklearn.linear_modelr
   r   sklearn.multioutputr   sklearn.preprocessingr   sklearn.treer   r   sklearn.utils._responser   r   sklearn.utils._testingr   r.   r/   re   rf   markparametrizer2   r>   rJ   rO   rX   r^   rc   rh   rj   rq   rs   rx   r   r    r?   r1   <module>r      s       * 
 - E / ' F U 2D!1	!%tWag (  		 /2		 ?4G"HI	1	/	1	1DEF	9		O,		_g67



  		Y'	11	-y9	11	-w7	11	-	7/CD	a	()4	a	(*=>	a	(+>	*JK 6uF4 G4, J
	
" *_>Q,RSM TM" 6uF&1 G&1R 6uF*_>Q,RS& T G&R & "#<'	
 #$R &Y?	
 #$<0	
4<54< 6uF- G-6 6uF1 G16  	!!	<oN	!!	<>QR		23**"26 H==(F* =		y(E:		%@		2HeD		y,>		gF		2L'J	+-	.	<Q	+-	.wW.01		
 
	Ix7		I|U;		 )Xu=		 )\5A	1	y(E:	1	y,>)2*32*r?   