
    -iK              
          S SK r S SKrS SKrS SKJrJrJr  S SKJ	r	  S SK
JrJrJrJrJrJrJrJrJrJrJrJrJrJr  S SKJrJr  S SKJr  S SKJrJ r   S SK!J"r"J#r#  \\\\\\\/r$\RJ                  RM                  S	\$5      S
 5       r'S r(\RJ                  RM                  S	\$5      S 5       r)\RJ                  RM                  S	\\/5      \RJ                  RM                  S/ SQ5      S 5       5       r*S r+S r,S r-S r.S r/S:S jr0S r1S r2S r3S r4S r5\RJ                  RM                  S\ " 5       \S9S 5       r6S r7S r8S  r9S;S! jr:S" r;S# r<\RJ                  RM                  S$S%/S&-  / S'Q4S(/S&-  / S'Q4/ S'QS%/S&-  4/ S'QS(/S&-  4S%/S&-  S%/S&-  4/5      S) 5       r=S* r>S+ r?S, r@S- rA\RJ                  RM                  S.\B" \C" S/5      5      \B" \C" S/5      5      4\R                  " S05      \R                  " S05      4/5      S1 5       rES2 rFS3 rG\RJ                  RM                  S/ S4Q5      S5 5       rH\RJ                  RM                  S6S7S8/5      S9 5       rIg)<    N)assert_allcloseassert_array_almost_equalassert_array_equal)config_context)adjusted_mutual_info_scoreadjusted_rand_scorecompleteness_scorecontingency_matrixentropyexpected_mutual_informationfowlkes_mallows_score"homogeneity_completeness_v_measurehomogeneity_scoremutual_info_scorenormalized_mutual_info_scorepair_confusion_matrix
rand_scorev_measure_score)_generalized_averagecheck_clusterings)assert_all_finite)_get_namespace_device_dtype_ids)yield_namespace_device_dtype_combinations)_array_api_for_testsassert_almost_equal
score_funcc                    Sn[         R                  " [        US9   U " SS// SQ5        S S S 5        Sn[         R                  " [        US9   U " SS/SS/// SQ5        S S S 5        Sn[         R                  " [        US9   U " / SQSS/SS//5        S S S 5        g ! , (       d  f       Ny= f! , (       d  f       NU= f! , (       d  f       g = f)	NzDFound input variables with inconsistent numbers of samples: \[2, 3\]matchr      )r    r    r    z$labels_true must be 1D: shape is \(2z$labels_pred must be 1D: shape is \(2r   r    r   )pytestraises
ValueError)r   expecteds     `/var/www/html/venv/lib/python3.13/site-packages/sklearn/metrics/cluster/tests/test_supervised.py"test_error_messages_on_wrong_inputr'   +   s    VH	z	2Aq69% 
3 7H	z	2QFQF#Y/ 
3 7H	z	291v1v./ 
3	2 
3	2 
3	2 
3	2s#   BB.B?
B+.
B<?
Cc                  4   Su  p/ SQnU Vs/ s H  n[        XU5      PM     nnUS   US   s=::  a  US   s=::  a
  US   ::  d   e   eSu  pVU Vs/ s H  n[        XVU5      PM     nnUS   US   s=:X  a  US   s=:X  a
  US   :X  d   e   eg s  snf s  snf )N)r       min	geometric
arithmeticmaxr   r    r)      )   r0   )r   )abmethodsmethodmeanscds          r&   test_generalized_averager8   :   s    DA7G>EFgF!!/gEF8uQx7587uQx77777DA>EFgF!!/gEF8uQx7587uQx77777	 G Gs   BBc                    U " / / 5      [         R                  " S5      :X  d   eU " S/S/5      [         R                  " S5      :X  d   eU " / SQ/ SQ5      [         R                  " S5      :X  d   eU " / SQ/ SQ5      [         R                  " S5      :X  d   eU " / SQ/ SQ5      [         R                  " S5      :X  d   eU " / S	Q/ S
Q5      [         R                  " S5      :X  d   eU " / SQ/ SQ5      [         R                  " S5      :X  d   eg )N      ?r   r    r   r   r   r!   *      r=           r:   r@         E@      @rB   r@   r:          @rB   rC   rE   r   r    r)   r=   r>   r)   r"   approx)r   s    r&   test_perfect_matchesrK   D   s    b"s!3333qcA36==#5555i+v}}S/AAAAi-s1CCCCo'89V]]3=OOOOo'78FMM#<NNNNi,c0BBBB    average_methodr*   c                    U " / / US9[         R                  " S5      :X  d   eU " S/S/US9[         R                  " S5      :X  d   eU " / SQ/ SQUS9[         R                  " S5      :X  d   eU " / SQ/ SQUS9[         R                  " S5      :X  d   eU " / SQ/ S	QUS9[         R                  " S5      :X  d   eU " / S
Q/ SQUS9[         R                  " S5      :X  d   eU " / SQ/ SQUS9[         R                  " S5      :X  d   eU " SS/SS/US9[         R                  " S5      :X  d   eU " / SQ/ SQUS9[         R                  " S5      :X  d   eg )NrM   r:   r   r    r;   r!   r<   r?   rA   rD   rF   rG   rH   )r   r    r)   r/   rI   )r   rM   s     r&   (test_perfect_matches_with_changing_meansrP   O   s    b"^<c@RRRRqcA3~>&--PSBTTTT9^	s	   ;~	s	   *>	s	   ).	s	   :n	s	   q!fq!f^DI    l>	s	  rL   c                  x    [        / SQ/ SQ5      u  pn[        U SS5        [        USS5        [        USS5        g )Nr   r   r   r    r    r    )r   r   r   r    r)   r)   r:   r)   gGz?gQ?r   r   hr6   vs      r&   *test_homogeneous_but_not_complete_labelingrW   r   8    01CEWXGA!4#4#4#rL   c                  x    [        / SQ/ SQ5      u  pn[        U SS5        [        USS5        [        USS5        g )Nr   r   r    r    r)   r)   )r   r   r    r    r    r    g(\?r)   r:   g\(\?rS   rT   s      r&   *test_complete_but_not_homogeneous_labelingr[   z   rX   rL   c                  x    [        / SQ/ SQ5      u  pn[        U SS5        [        USS5        [        USS5        g )NrR   r   r    r   r    r)   r)   q=
ףp?r)   zG?p=
ף?rS   rT   s      r&   .test_not_complete_and_not_homogeneous_labelingra      rX   rL   c                      Sn SnSnSU -   U-  U-  X-  U-   -  n[        / SQ/ SQU S9u  pEn[        XAS5        [        XRS5        [        XcS5        [        / SQ/ SQU S9n[        XcS5        g )	Ng?r^   r_   r    rR   r]   )betar)   )r   r   r   )	beta_testh_testc_testv_testrU   r6   rV   s          r&   test_beta_parameterrh      s     IFF)mv%.)2Dv2MNF0.YGA! 1%1%1%*,>YOA1%rL   c                     [        / SQ/ SQ5      u  pn[        U SS5        [        USS5        [        USS5        [        / SQ/ SQ5      u  pn[        U SS5        [        USS5        [        USS5        [        / SQ/ SQ5      n[        / SQ/ SQ5      n[        US	S5        [        US	S5        [        / SQ/ SQ5      n[        / SQ/ SQ5      n[        US
S5        [        US
S5        g )N)r   r   r   r)   r)   r)   r]   r^   r)   r_   r`   rR   )r      r   rj   r)   r)   gQ?gQ?)r   r   r   r   )rU   r6   rV   ari_1ari_2ri_1ri_2s          r&   test_non_consecutive_labelsro      s    01CEWXGA!4#4#4#01CEWXGA!4#4#4# 24FGE 24FGEtQ'tQ'(*<=D(*<=DdA&dA&rL   c                    [         R                  R                  U5      R                  n[         R                  " [        U5      U45      n[        U5       H1  u  px[        U5       H  n	U" SXS9n
U" SXS9nU " X5      XgU	4'   M     M3     U$ )Nr   )lowhighsize)nprandomRandomStaterandintzeroslen	enumeraterange)r   	n_samplesk_rangen_runsseedrandom_labelsscoresikjlabels_alabels_bs               r&   uniform_labelings_scoresr      s    II))$/77MXXs7|V,-F'"vA$CH$CH%h9Fa4L  #
 MrL   c                      / SQn SnSn[        [        XU5      n[        R                  " U5      R	                  SS9n[        U/ SQS5        g )N)r)   
   2   Z   d   r   r    )axis){Gz?Q?r   r   r)   )r   r   rt   absr.   r   )n_clusters_ranger|   r~   r   max_abs_scoress        r&   test_adjustment_for_chancer      sM    &IF%Y&F VVF^''Q'/Nn.FJrL   c                     [         R                  " / SQ5      n [         R                  " / SQ5      n[        X5      n[        USS5        [	        XSS9n[        XUS9n[        USS5        [	        X5      n[        XUS9n[        USS5        UR                  5       n[        X45      n[        USS5        [        X5      n[        US	S5        [        / S
Q/ SQ5      nU[        R                  " S5      :X  d   e[         R                  " [        U 5      S-  /5      R                  5       n[         R                  " [        U5      S-  /5      R                  5       n[        Xx5      n[        USS5        g )Nr    r    r    r    r    r    r)   r)   r)   r)   r)   r)   r/   r/   r/   r/   r/   r    r    r    r    r)   r    r)   r)   r)   r)   r/   r    r/   r/   r/   r)   r)   gS
cA?   Tsparse)contingencygpUj@?gP1?)r    r    r)   r)   )r)   r)   r/   r/   r:   n   gRQ?r)   )rt   arrayr   r   r
   sumr   r   r"   rJ   listflatten)	r   r   miCr|   emiamia110b110s	            r&   test_adjusted_mutual_info_scorer      s2   xxKLHxxKLH	8	.BGQ'8d;A	81	=BGQ'8.A	81	=BGQ'I
%a
3CWa(
$X
8CWa(
$\<
@C&--$$$$88T(^c)*+335D88T(^c)*+335D
$T
0CT1%rL   c                  T    [        [        R                  " S//5      S5      S::  d   eg )Nip r    )r   rt   r    rL   r&   "test_expected_mutual_info_overflowr      s&     'rxx%	':EBaGGGrL   c                  r   [         R                  " S/S-  S/S-  -   S/S-  -   S/S-  -   S	/S
-  -   5      n [         R                  " S/S-  S/S-  -   S/S-  -   S/S-  -   S/S-  -   S/S-  -   S/S-  -   S/S-  -   S/S-  -   S/S-  -   5      n[        [        X5      5        [        [	        X5      5        g )Nr    iy  r)   i]<  r/   i  rj   iU  r   iP  r   i  i	  iD9  i  i     i.  '   i<     )rt   r   r   r   r   )xys     r&   3test_int_overflow_mutual_info_fowlkes_mallows_scorer      s   
	
|#
	#
	 #
	 #
			A 		
e#*	#+	 #)	 #*		
 #)	 #)	 #(	 #)	 #(			A '-.+A12rL   c                      [        [        / SQ5      SS5        [        [        / 5      S5        [        / SQ5      S:X  d   eg )Nr   r   rB   ,^R^?r   r    r    r    r    r    r   )r   r   r   rL   r&   test_entropyr     s4    -y!<Q'< A%%%rL   z#array_namespace, device, dtype_name)idsc                    [        X5      nUR                  [        R                  " / SQUS9US9nUR                  / UR                  US9nUR                  / SQUS9n[	        SS9   [        U5      [        R                  " SS	S
9:X  d   e[        U5      S:X  d   e[        U5      S:X  d   e S S S 5        g ! , (       d  f       g = f)Nr   dtype)device)r   r   r   T)array_api_dispatchr   gh㈵>)r   r    r   )r   asarrayrt   int32r   r   r"   rJ   )array_namespacer   
dtype_namexpfloat_labelsempty_int32_labels
int_labelss          r&   test_entropy_array_apir     s     
o	6B::bjjZHQW:XLBbhhvFL8J	4	0|$iT(JJJJ)*a///z"a''' 
1	0	0s   'AB88
Cc            	      H   [         R                  " / SQ5      n [         R                  " / SQ5      n[        X5      n[         R                  " X[         R                  " SS5      [         R                  " SS5      4S9S   n[        X#5        [        XSS9n[        X#S-   5        g )	Nr   r   r    r   )binsr   g?)eps)rt   r   r
   histogram2daranger   )r   r   r   C2s       r&   test_contingency_matrixr   $  sz    xxKLHxxKLH8.A	"))Aq/299QPQ?1S	TUV	WBa$837Aac*rL   c                  <   [         R                  " / SQ5      n [         R                  " / SQ5      n[        X5      n[        XSS9R                  5       n[	        X#5        [
        R                  " [        SS9   [        XSSS9  S S S 5        g ! , (       d  f       g = f)	Nr   r   Tr   z!Cannot set 'eps' when sparse=Truer   g|=)r   r   )rt   r   r
   toarrayr   r"   r#   r$   )r   r   r   C_sparses       r&   test_contingency_matrix_sparser   .  so    xxKLHxxKLH8.A!(TBJJLHa*	z)L	M85F 
N	M	Ms   8B
Bc                  D   [         R                  " SSS5      R                  [        5       H  n [         R                  " U [        S9[         R
                  " U [        S9p![        X5      [        R                  " S5      :X  d   e[        X5      [        R                  " S5      :X  d   e[        X5      S:X  d   e[        X5      [        R                  " S5      :X  d   eS H7  n[        XUS9S:X  d   e[        XUS9[        R                  " S5      :X  a  M7   e   M     g )Nr    rj   r   r@   r*   rO   )rt   logspaceastypeintonesr   r   r"   rJ   r   r   )r   r   r   r4   s       r&   test_exactly_zero_info_scorer   8  s    [[Aq!((- ggas3RYYq5L(+H?6==QTCUUUUx2fmmC6HHHH)(=DDD+H?6==QTCUUUU?F*8fU 06s#$ $ $ @ .rL   c           
         [         R                  " SSS5      R                  [        5       H  n[         R                  R                  U 5      nUR                  SSU5      UR                  SSU5      pC[        [        X45      S[        X45      -  [        U5      [        U5      -   -  S5        Sn[        [        X45      [        X4US95        M     g )Nr    rj   r   r   rE   r-   rO   )rt   r   r   r   ru   rv   rw   r   r   r   r   r   )r   r   random_stater   r   avgs         r&   %test_v_measure_and_mutual_informationr   J  s    [[Aq!((-yy,,T2  B*  B*  	H/34x 78#446 	
 H/(CP	
 .rL   c                      [        / SQ/ SQ5      n [        U S[        R                  " S5      -  5        [        / SQ/ SQ5      n[        US5        [        / SQ/ SQ5      n[        US	5        g )
NrR   rZ   g      @g      R@)r    r    r    r   r   r   r:   )r   r   r   r   r   r   )r   r    r)   r/   rj   r   r@   )r   r   rt   sqrt)scoreperfect_scoreworst_scores      r&   test_fowlkes_mallows_scorer   `  s\    !"46HIEsRWWZ%889 **<>PQMs+ ((:<NOKS)rL   c                  `   [         R                  " / SQ5      n [         R                  " / SQ5      nS[         R                  " S5      -  n[        X5      n[	        X25        [        X5      n[	        XB5        [        U S-   S-  U5      n[	        XR5        [        XS-   S-  5      n[	        Xb5        g )N)r   r   r   r    r    r)   )r    r    r)   r)   r   r   r:   g      (@r    r/   r)   )rt   r   r   r   r   )r   r   r%   score_originalscore_symmetricscore_permuted
score_boths          r&   %test_fowlkes_mallows_score_propertiesr   n  s    xx*+Hxx*+HRWW677H +8>N1 ,H?O2 +HqLA+=xHN1 'xQ,!1CDJ
-rL   zlabels_true, labels_predr1      )r    r    r   r   r    r    r    c                 &    [        X5      S:X  d   eg )Nr   )r   )labels_truelabels_preds     r&   .test_mutual_info_score_positive_constant_labelr     s     [6!;;;rL   c                     [         R                  R                  S5      n U R                  S5      n[         R                  " SSS5      S-  nSn[
        R                  " [        US9   [        X!5        S S S 5        g ! , (       d  f       g = f)Nr=   i  g{Gz?r    gư>zuClustering metrics expects discrete values but received continuous values for label, and continuous values for targetr   )	rt   ru   rv   randlinspacer"   warnsUserWarningr   )rngnoise
wavelengthmsgs       r&   test_check_clustering_errorr     sh    
))


#CHHSMET1c*T1J	  
k	-*, 
.	-	-s   'A<<
B
c                      Sn [        [        U 5      5      nUn[        R                  " X S-
  -  S/SS//5      n[	        [        X5      U5        g )Nr   r    r   )r   r{   rt   r   r   r   Nclustering1clustering2r%   s       r&   *test_pair_confusion_matrix_fully_dispersedr     sK    AuQx.KKxx!1u+q)Aq623H,[FQrL   c                      Sn [         R                  " U 45      nUn[         R                  " SS/SX S-
  -  //5      n[        [	        X5      U5        g )Nr   r   r    )rt   rx   r   r   r   r   s       r&   )test_pair_confusion_matrix_single_clusterr     sM    A((A4.KKxx!Q!Qa%[!123H,[FQrL   c                  X   Sn U S-  n[         R                  " [        U 5       Vs/ s H  o"S-   /U -  PM     sn5      n[         R                  " [        U 5       Vs/ s H  o"S-   /U S-   -  PM     sn5      S U n[         R                  " S[         R                  S9n[        [        U5      5       HW  n[        [        U5      5       H<  nX&:w  d  M
  [        X2   X6   :H  5      n[        XB   XF   :H  5      nXWU4==   S-  ss'   M>     MY     [        [        X45      U5        g s  snf s  snf )Nr   r)   r    )r)   r)   )shaper   )	rt   hstackr{   rx   int64ry   r   r   r   )	nr   r   r   r   r%   r   same_cluster_1same_cluster_2s	            r&   test_pair_confusion_matrixr    s   
A	1A))%(;(Q!eWq[(;<K))aA1!eWA.AB2AFKxxfBHH5H3{#$s;'(Av!$[^{~%E!F!$[^{~%E!F78A=8	 ) % ,[FQ <As   D"D'zclustering1, clustering2r   )r   c                 .    [        [        X5      S5        g )Nr:   r   r   )r   r   s     r&   test_rand_score_edge_casesr    s     J{8#>rL   c                      / SQn / SQnSnSnSnSU-
  U-
  U-
  nXR-   nXT-   U-   U-   nXg-  n[        [        X5      U5        g )NrR   r]   rj      r)      r  )	r   r   D11D10D01D00expected_numeratorexpected_denominatorr%   s	            r&   test_rand_scorer    s^    $K$K
C
C
C
#+
c
!C9s?S0!8HJ{8(CrL   c                  l   [         R                  R                  S5      n U R                  SSS[         R                  S9nU R                  SSS[         R                  S9n[
        R                  " 5          [
        R                  " S[        5        [        X5        SSS5        g! , (       d  f       g= f)zCheck that large amount of data will not lead to overflow in
`adjusted_rand_score`.
Non-regression test for:
https://github.com/scikit-learn/scikit-learn/issues/20305
r   r)   i r   errorN)
rt   ru   rv   rw   int8warningscatch_warningssimplefilterRuntimeWarningr   )r   y_truey_preds      r&   !test_adjusted_rand_score_overflowr    s|     ))


"C[[Awbgg[6F[[Awbgg[6F		 	 	"g~6F+ 
#	"	"s   5'B%%
B3)r+   r-   r,   r.   c                     S/S-  nS/USS -   nSS/USS -   n[        XU S9nUS:X  d   e[        X#U S9nSUs=::  a  S:  d   e   eg)zCheck that nmi returns a score between 0 (included) and 1 (excluded
for non-perfect match)

Non-regression test for issue #13836
r   i  r    Nr)   rO   )r   )rM   labels1labels2labels3nmis        r&   )test_normalized_mutual_info_score_boundedr!    sq     cCiGcGABKG!fwqr{"G 'w
WC!8O8 'w
WC<a<<<rL   r   TFc                     [         R                  " [        SS9   [        SS/SS/U S9  SSS5        g! , (       d  f       g= f)zJCheck deprecation warning for 'sparse' parameter of fowlkes_mallows_score.z,The 'sparse' parameter was deprecated in 1.7r   r   r    r   N)r"   r   FutureWarningr   r   s    r&   &test_fowlkes_mallows_sparse_deprecatedr$    s<     
K
 	q!fq!fV<
 
 
s	   3
A)r   r=   )$   )Jr  numpyrt   r"   numpy.testingr   r   r   sklearn.baser   sklearn.metrics.clusterr   r   r	   r
   r   r   r   r   r   r   r   r   r   r   #sklearn.metrics.cluster._supervisedr   r   sklearn.utilsr   sklearn.utils._array_apir   r   sklearn.utils._testingr   r   score_funcsmarkparametrizer'   r8   rK   rP   rW   r[   ra   rh   ro   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r  r   r{   rx   r  r  r  r!  r$  r   rL   r&   <module>r1     s      X X '     X + M   {30 408 {3C 4C $" )+TU V6$$$&('.	K&>H34& )-/'  
(
(+G$$
,*.. 
&'
q$%	cUQY'	aS1W%
SEAI	<	<-RRR" 
5:U3Z()BHHV,<bhhv>N+OP?	?D , )+TU V( D%=1= 2=rL   