
    {KgC                     f   d Z ddlZddlZddlZddlZddlmZm	Z	 ddl
mZ ddlmZmZ ddlmZmZ g dg dg d	g d
gZg dZd Zej*                  j-                  de      d        Zej*                  j-                  de      d        Zej*                  j-                  de      d        Zd Zd Zy)zs
Tests for chi2, currently the only feature selection function designed
specifically to work with sparse matrices.
    NSelectKBestchi2)
_chisquare)assert_array_almost_equalassert_array_equal)COO_CONTAINERSCSR_CONTAINERS)      r   )	   r   r   )   r   r   )r   r   r   )r   r   r   r   c                 $    t        t        |       S )zMake k-best chi2 selectorkr   r   s    m/home/alanp/www/video.onchill/myenv/lib/python3.12/site-packages/sklearn/feature_selection/tests/test_chi2.pymkchi2r      s    tq!!    csr_containerc                    t        d      j                  t        t              }t        d      j                  t        t              }t	         |j
                  d      dg       t	         |j                  t              t        j                  t              d d dgf          t        d      j                  t        t              }t	        t         |j
                  d            ddg        | t        t        j                        }t        d      j                  |t              }t	        t         |j
                  d            ddg        |j                  |      }t	        |j                  |j                  d   dg       |j                         }t        d      j                  |t              j                         }t        ||       y )Nr   r   T)indicesr   r   )dtype)r   fitXyr   get_support	transformnparraysortedfloat64shapetoarrayfit_transformr   )r   r   XspXtransXtrans2s        r   	test_chi2r(      sJ    A;??1a DA;??1a D't''5s;~t~~a("((1+a!f*=>A;??1a Dv.d..t<=1vF

,CA;??3"Dv.d..t<=1vFT^^C Fv||ciilA%67 ^^Fqk''Q/779Gfg.r   coo_containerc                 \     | t               }t        d      j                  |t               y )Nr   r   )r   r   r$   r   )r)   Xcoos     r   test_chi2_coor,   5   s"     D
QKdA&r   c                     ddgddggddg}}|t        j                  |       | |      fD ]0  }t        j                  t              5  t        ||       d d d        2 y # 1 sw Y   =xY w)Nr   r   g#Bǻ)r   r   pytestraises
ValueErrorr   )r   r   r   s      r   test_chi2_negativer1   >   s`     FVQK 1a&qA!mA./]]:&AJ '& 0&&s   AA(	c                  j   t        j                  d      5 } t        j                  d       t        ddgddggddg      \  }}| D ]  }dt	        |      v st        d|z         	 d d d        t        dt        j                  g       t        d   t        j                         y # 1 sw Y   CxY w)NT)recordalwaysr   r   zdivide by zerozFound unexpected warning %s)	warningscatch_warningssimplefilterr   reprAssertionErrorr   r   nan)warnedchipws       r   test_chi2_unused_featurer?   G   s     
	 	 	-h'1v1v&A/QA47*$%BQ%FGG  
. sQK(qtRVV$ 
.	-s   ?B)B))B2c                     t        j                  ddgddgg      } t        j                  ddgddgg      }t        j                  j	                  | |      \  }}t        | |      \  }}t        ||       t        ||       y )Ng       @g      ?g      ?)r   r   scipystats	chisquarer   r   )obsexpchi_scpp_scpchi_ourp_ours         r   test_chisquarerJ   T   sv    
((S#Jc
+
,C
((S#Jc
+
,C[[**34NGUS)NGUgw/eU+r   )__doc__r5   numpyr   r.   scipy.statsrA   sklearn.feature_selectionr   r   /sklearn.feature_selection._univariate_selectionr   sklearn.utils._testingr   r   sklearn.utils.fixesr	   r
   r   r   r   markparametrizer(   r,   r1   r?   rJ    r   r   <module>rU      s   
     7 F P >
 	9i0"
 .9/ :/. .9' :' .9 :
%	,r   