o
    tBh)n                    @   sr  d dl mZmZmZ d dlmZ d dlZd dlZd dl	Z	d dl
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mZmZmZmZmZmZmZmZ d dlmZm Z  d dl!m  m"Z" d	d
l#m$Z$ d dl%m&Z& d dl'm(Z( G dd dZ)G dd dZ*G dd dZ+G dd de(Z,G dd dZ-G dd dZ.G dd dZ/dd Z0G dd dZ1G dd  d Z2dS )!    )divisionprint_functionabsolute_import)productN)assert_assert_equalassert_allcloseassert_almost_equal)raises)distributions)	epps_singleton_2sampcramervonmises_cdf_cvmcramervonmises_2samp_pval_cvm_2samp_exactbarnard_exactboschloo_exactpermutation_test_all_partitions_concatenated)mannwhitneyu
_mwu_state   )check_named_results)special)_TestPythranFuncc                   @   sD   e Zd Zdd Zdd Zdd Zdd Zd	d
 Zdd Zdd Z	dS )TestEppsSingletonc                 C   sJ   t g d}t g d}t||\}}t|ddd t|ddd d S )N)
gffffffֿgffffff@gGz?\(\?ffffff?gQ@gq=
ףp?gGzgGz׿gp=
#(@)
gffffffg333333ÿgףp=
@g      
@gGz@g)\(@g      @g(\@g(\ @333333!@gHzG.@r   decimalgQ,r?   )nparrayr   r	   selfxywp r*   w/var/www/html/riverr-enterprise-integrations-main/venv/lib/python3.10/site-packages/scipy/stats/tests/test_hypotests.pytest_statistic_1   s
   z"TestEppsSingleton.test_statistic_1c                 C   sB   t d}t d}t||\}}t|ddd t|ddd d S )	N)r   r      r-   r-   r-   r!   r!   r!   r!         r/   r/   r/      
   r1   r1   r1   )r1   r.   r   r/   r1   r1   r   r/   r0      r1   r!   r   r2   r      r   r/   r3   r1   g!@MbP?atolg&J?r!   r   )r"   r#   r   r   r	   r$   r*   r*   r+   test_statistic_2(   s
   

z"TestEppsSingleton.test_statistic_2c           	      C   s   t jd t dt d}}tt|t|\}}tt|t|\}}t||\}}t||  ko8|kn   t||  koI|k d S    d S )N        )r"   randomseedaranger   listtupler   )	r%   r&   r'   w1p1w2p2w3p3r*   r*   r+   test_epps_singleton_array_like2   s   &z0TestEppsSingleton.test_epps_singleton_array_likec                 C   s"   dt d}}ttt|| d S )Nr   r-   r!   r.   r1   )r"   r=   assert_raises
ValueErrorr   r%   r&   r'   r*   r*   r+   test_epps_singleton_size=   s   z*TestEppsSingleton.test_epps_singleton_sizec                 C   s\   dddddt jft d}}ttt|| t ddddddt jf}}ttt|| d S )Nr   r-   r!   r.   r/   r1   )r"   infr=   rH   rI   r   nanrJ   r*   r*   r+   test_epps_singleton_nonfiniteB   s   z/TestEppsSingleton.test_epps_singleton_nonfinitec                 C   s$   t ddd}ttt|| d S )Nd   r   )r"   r=   reshaperH   rI   r   r%   r&   r*   r*   r+   test_epps_singleton_1d_inputI   s   z.TestEppsSingleton.test_epps_singleton_1d_inputc                 C   s2   t dt d}}t||}d}t|| d S )N   r9   )	statisticpvalue)r"   r=   r   r   )r%   r&   r'   res
attributesr*   r*   r+   
test_namesM   s   
zTestEppsSingleton.test_namesN)
__name__
__module____qualname__r,   r7   rF   rK   rN   rS   rY   r*   r*   r*   r+   r      s    
r   c                   @   sd   e Zd Zdd Zdd Zdd Zdd Zd	d
 Zdd Zdd Z	dd Z
dd Zdd Zdd ZdS )TestCvmc                 C       t tg ddg ddd d S )N)gy;i?g#^?gE>?gD
)?r.   {Gz?皙?      ?g+?-C6?r5   r   r   r%   r*   r*   r+   
test_cdf_4X   
   
zTestCvm.test_cdf_4c                 C   r^   )N)g8*5?g@߾?gHm?g%1 ?r1   )r`   ra   rb   g333333?rc   r5   rd   re   r*   r*   r+   test_cdf_10^   rg   zTestCvm.test_cdf_10c                 C   r^   )N)g}tg?g`?gI5o?gׁsF?  r_   rc   r5   rd   re   r*   r*   r+   test_cdf_1000d   rg   zTestCvm.test_cdf_1000c                 C   s   t tg dg ddd d S )N)a+e?+?&pn?+MJA?r_   rc   r5   rd   re   r*   r*   r+   test_cdf_infj   s
   

zTestCvm.test_cdf_infc                 C   s4   t tddgdddg t tddgdddg d S )	NgX(~$?gUUUUU5f@i  r   r   gaah?g"@   )r   r   re   r*   r*   r+   test_cdf_supportp   s   zTestCvm.test_cdf_supportc                 C   s$   t tg ddtg ddd d S )N)rk   rl   rm   rn   rO   i'  rc   r5   rd   re   r*   r*   r+   test_cdf_large_nu   s
   

zTestCvm.test_cdf_large_nc                 C   sL   t dtdd  k odk n   t dtd  k o dk  d S    d S )NgwJ?gt@ri         ?)r   r   re   r*   r*   r+   test_large_x|   s   "*zTestCvm.test_large_xc                 C   s<   d}t t|d d}tt|j|dk t|jd d S )N   皙?normrs   r   )r   r"   onesr   r   rU   r   rV   )r%   nrW   r*   r*   r+   
test_low_p   s   zTestCvm.test_low_pc                 C   s@   t dd}ttt|d tttdgd tttdd d S )Nr1   r-   r/   rw         ?r*   )r"   r=   rQ   rH   rI   r   rR   r*   r*   r+   test_invalid_input   s   zTestCvm.test_invalid_inputc                 C   s   t g dd}t|jddd t|jddd t g ddd}t|jddd t|jd	dd t g d
d}t|jddd t|jddd d S )N)g333333r-   r   g?r.   皙?333333?rw   gZ	%q?ư>r5   gEж?)r!   r|   g!O!W*?gz"W`?)	r   r-   r/   ffffff?gQ?      ?      @exponge.?gnz\(r?)r   r   rU   rV   )r%   rW   r*   r*   r+   test_values_R   s   zTestCvm.test_values_Rc                 C   s|   t dd}}t|tjj}t|d}t|j|jf|j|jf t|tj	j|}t|d|}t|j|jf|j|jf d S )Nr/   )r   ffffff?r   beta)
r"   r=   r   r   r   cdfr   rU   rV   r   )r%   r&   argsr1r2r*   r*   r+   test_callable_cdf   s   
zTestCvm.test_callable_cdfN)rZ   r[   r\   rf   rh   rj   ro   rq   rr   rt   rz   r}   r   r   r*   r*   r*   r+   r]   T   s    	r]   c                   @   s,  e Zd Zdd Zdd Zg dZg dZddd	d
gddd	dgddd	dgddd	dgddd	dgddd	dggZej	
dedd ZddddgddddgddddgddddgddddgddddggZej	
dedd  Zd!d" Zg d#g d$g d%d&Zg d'g d(g d)g d*d+Zg d,g d-g d.g d/g d0d1Zg d2g d3g d4g d5g d6g d7d8Zd9d: Zd;d< Zd=d> Zddd	d?gddd	d@gddd	dAgddd	d?gddd	d@gddd	d?ggZej	
dBedCdD ZdEdF Zej	
dGddgdHdI ZdJdK Zg d+dLdMdNdOejdLdPdQdRdRdSgdTdUfg d+dLdMdNdOejejdPdQdRdRdSgdVdWfdQdPejdRgdLdMdNdOejdLdPdQdRdRdSgdXdYfdQdPejdRgdLdMdNdOejejdPdQdRdRdSgdZd[fdQejejdRgdLdMdNdOejejdPdQdRdRdSgd\d]fgZej	
d^ed_d` Zg dag dbg dcg ddg deg dfg dgg dhg dig	Zej	
djedkdl Z dmdn Z!dodp Z"g d&dqdrgddsgg d&dqdrgddsgg d&dqdrgddtgg d&dPgddugg d&dPgddugg d&dPgddvgdQdPgdQdPgddwgdQdPgdQdPgddwgdQdPgdQdPgddxgg	Z#ej	
g dye#dzd{ Z$d|S )}TestMannWhitneyUc                 C   sv  t ddg}t ddg}ttdd tg | W d    n1 s$w   Y  ttdd t|g  W d    n1 s?w   Y  ttdd t||dd	 W d    n1 s\w   Y  ttd
d t||dd W d    n1 syw   Y  ttdd t||dd W d    n1 sw   Y  ttdd t||dd W d    d S 1 sw   Y  d S )Nr   r-   r!   r.   `x` and `y` must be of nonzeromatchz`use_continuity` must be oneekki)use_continuityz`alternative` must be one ofalternativez`axis` must be an integerr|   axisz`method` must be one ofmethod)r"   r#   rH   rI   r   rJ   r*   r*   r+   test_input_validation   s(   "z&TestMannWhitneyU.test_input_validationc                 C   s  t jd d}t j|d }t j|d }t||}t||dd}t||dd}|j|jks3J |j|jks;J t j|d }t j|d }t||}t||dd}t||dd}|j|jksfJ |j|jksnJ t||}t||dd}t||dd}|j|jksJ |j|jksJ t j|d }t j|d }t||}t||dd}t||dd}|j|jksJ |j|jksJ t j|d }t j|d }|d |d< t||}t||dd}t||dd}|j|jksJ |j|jksJ d S )Nr   r3   
asymptoticr   exactr!   )r"   r;   r<   randr   rV   )r%   ry   r&   r'   autor   r   r*   r*   r+   	test_auto   sH   




zTestMannWhitneyU.test_auto)gm9Aj@g+H3[@gi>s@)g#hA{@glz@gcDf@gǳ*h@gZA@gI9^YQa@g`@g՞p@g:q@g&@gZ|@g`r@gMc3g@	two-sidedr   r   r   )   
+?less)r   
+?greater)r   缌%c?r   )r   g9:?)r   g9:?)r   g*::?)kwdsexpectedc                 C   s$   t | j| jfi |}t|| d S N)r   r&   r'   r   r%   r   r   rW   r*   r*   r+   
test_basic  s   zTestMannWhitneyU.test_basicT)r   r   )   r   )r   r   )r   r   F)r   gl,KNh?)r   giژ?)r   gl,KNh?c                 C   s(   t | j| jfddi|}t|| d S )Nr   r   )r   r'   r&   r   r   r*   r*   r+   test_continuity.  s   z TestMannWhitneyU.test_continuityc           	      C   s   g d}t g d}t g dd }t g dd }|d || || ||| || |d g}t||ddd}g d	}g d
}t|j| t|j| d S )NrG   r   r-   r!   r.   r/   )r   r   r   r   r   r`   )r   r   r   r   r   rP   r   )r   r   )r1   	         !@r3   r   r2   r0   )r   g]U?g[?gi\?gZX<_?gx.?g 
?)r"   r#   r   r   rU   r   rV   )	r%   r&   y0dydy2r'   rW   
U_expected
p_expectedr*   r*   r+   test_tie_correct<  s   *z!TestMannWhitneyU.test_tie_correct)      ?rb   g      ?)r~   皙?皙?r   )ra   r~   r   r   rb   g?r   r-   r!   )r   r   r   )gx&?g/$?gJ+?r   r   )y&1?v/?gv/?r   gjt?~jt?ʡE?)	gy&1?gV-?r   r~   gS?gv?gʡE?g'1Z?gm?rG   )gK7A`?gZd;O?rb   gMbX?)Mb?RQ?RQ?M?r   r   )	g;On?;On?V-?g      ?gJ+?r   gx&?rb   gCl?)Mb?Mb?Mb?gy&1?r   M?g|?5^?gn?g\(\?!rh?K7?)Mbp?r   r   r   ~jt?g333333?g"~j?ףp=
?gzG?K7?gGz?gl?rb   gI+?r   )r   r   g1Zd?r   )r   r   r   1Zd?g%C?r   r   )
g~jt?g~jt?r   gsh|??gS㥛?r   r   g+?r   r   )g{Gzt?r`   g~jt?gL7A`?r   gjt?gPn?gI+?gX9v?gQ?gMb?gsh|??gK7A`?)Mb`?r   g;On?gQ?g9v?gˡE?gT㥛 ?gbX9ȶ?grh|?gQ?r   gx&?gv/?gMbX?g(\?gQ?)r4   r   r   r   g9v?g/$?r   r   gL7A`?g
ףp=
?gQ?r   gK7?g`"?g7A`?r   gV-?gjt?gˡE?)r   r-   r!   r.   r/   r0   c           
   	   C   s   | j | j| j| jd}| D ]f\}}| D ]]\}}tdt|}tt	j
|||d|dd td|| d }tt	j
|||dt	j|||d t	j|||d d t	j|||d}t||d d d  t	j|||d}	t||	 qqd S )N)r!   r.   r/   r0   r   )kmry   r4   r5   r   rP   )pn3pn4pm5pm6itemsr"   r=   lenr   r   r   sfpmf)
r%   p_tablesry   tabler   r)   uu2r   pmf2r*   r*   r+   test_exact_distributionl  s&   z(TestMannWhitneyU.test_exact_distributionc                 C   s   t jd t jd}t jd}t||dd}t||dd}|j|jks(J t |j|j dks5J t jd}t jd}t||dd}t||dd}|j|jksWJ t |j|j dk sdJ d S )	Nr   r/   r   r   r   r`   (   r4   )r"   r;   r<   r   r   rU   absrV   )r%   r&   r'   res1res2r*   r*   r+   test_asymptotic_behavior  s   z)TestMannWhitneyU.test_asymptotic_behaviorc                 C   sr   t g dddgddd}t g dddgddd}t|j|j |jdks&J t g dddgd	dd}t|d
 d S )Nr   r|         @r   r   r   r   rb   r   )r!   r   )r   r   rV   )r%   res_lres_grW   r*   r*   r+   test_exact_U_equals_mean  s   z)TestMannWhitneyU.test_exact_U_equals_meanr   r   )r   rb   )r   g郡E?)r   resultc                 C   s   t tdi || d S )Nr   r-   r   r-   )r   r   )r%   r   r   r*   r*   r+   test_scalar_data  s   z!TestMannWhitneyU.test_scalar_datac                 C   sH   t tddddd t tddddd t tddddddtjf d S )	Nr   r   r   )rb   r   r   F)r   r   rb   )r   r   r"   rM   re   r*   r*   r+   test_equal_scalar_data  s   
z'TestMannWhitneyU.test_equal_scalar_datar   c                 C   sz  t jd d}d\}}t j|dd}t jd|ddd }t||||d	}d
}|jj|ks1J |jj|ks9J t ||dt ||d}}|d }|j	|j	ksTJ t 
|||f }t 
|||f }|jd d |ksqJ |jd d |ks|J t |}	t |}
tdd |D  D ]}|| }|| }t|||d}|j|	|< |j|
|< qt j|j|
 t j|j|	 d S )Nr   )r2   r1   r!   r3   r0   r   r~   )r   r   )r0   r!   r3   rP   )N.c                 S      g | ]}t |qS r*   )range.0ir*   r*   r+   
<listcomp>      z8TestMannWhitneyU.test_gh_12837_11113.<locals>.<listcomp>r   )r"   r;   r<   r   r   rV   shaperU   moveaxisndimbroadcast_tozerosr   testingr   )r%   r   r   r   ry   r&   r'   rW   r   
statisticspvaluesindicesxiyitempr*   r*   r+   test_gh_12837_11113  s4   


z$TestMannWhitneyU.test_gh_12837_11113c                 C   s~   g d}g d}t ||}tj|d< t ||}t|j|j t|j|j tj|d< t ||}t|jtj t|jtj d S )NrG   )r!   r0   r2   r3   r   r!   r-   r   r.   r.   r/   r.   )r   r"   rL   r   rU   rV   rM   )r%   r&   r'   r   r   res3r*   r*   r+   test_gh_11355  s   




zTestMannWhitneyU.test_gh_11355r!   r0   r2   r3   r-   r   r.   r/   r1   g+zQ?r   g}$k\?g     1@g!˛G*?r   g,s?     8@gFHQ?)r&   r'   rU   rV   c                 C   s2   t ||dd}t|j|dd t|j|dd d S )Nr   r   -q=r5   )r   r   rU   rV   )r%   r&   r'   rU   rV   rW   r*   r*   r+   test_gh_11355b  s   zTestMannWhitneyU.test_gh_11355b)Tr   r   g&?)Tr   r   gO?)Tr   r   gO?)Fr   r   g9@VN!x?)Fr   r   g9M>?)Fr   r   g9M>?)Tr   r   g?UV?)Tr   r   gߺVJH?)Tr   r   gVJH?)r   r   r   
pvalue_expc           	      C   s:   d}d}d}t |||||d}t|j| t|j| d S )N#   )
rv   g(\?g=
ףp=?gp=
ף?g333333?gGz?g(\?g=
ףp=?r   g\(\?)gffffff?g)\(?r   gGz?g\(\?r   r   r   )r   r   rU   r   rV   )	r%   r   r   r   r  statistic_expr&   r'   rW   r*   r*   r+   test_gh_9184)  s   zTestMannWhitneyU.test_gh_9184c                 C   s<   t tdd tg g  W d    d S 1 sw   Y  d S )Nr   r   )rH   rI   r   re   r*   r*   r+   test_gh_6897H  s   "zTestMannWhitneyU.test_gh_6897c                 C   sf   t t jt jt jt jt jg}t t jt jt jt jt jg}t||}t|jt j t|jt j d S r   )r"   r#   rM   r   r   rU   rV   )r%   abrW   r*   r*   r+   test_gh_4067M  s
   
zTestMannWhitneyU.test_gh_4067r|   r   )r!   ga׀}?)r!   rs   )r|   g?h?)r|   r   )r-   g5&#\?)r-   r   )r&   r'   r   r   c                 C   s$   t ||d|dd}t||dd d S )NTr   r  r	  rtol)r   r   )r%   r&   r'   r   r   rW   r*   r*   r+   test_gh_2118e  s   
zTestMannWhitneyU.test_gh_2118N)%rZ   r[   r\   r   r   r&   r'   cases_basicpytestmarkparametrizer   cases_continuityr   r   r   r   r   r   r   r   r   cases_scalarr   r   r  r  r"   rL   cases_11355r
  
cases_9184r  r  r  
cases_2118r  r*   r*   r*   r+   r      s   5




+



r   c                   @   sz   e Zd Zdd Zdd Zdd Zdd Zd	d
 Zdd Zdd Z	dd Z
dd Zdd Zdd Zejdddd ZdS )TestSomersDc                    st    j  j  _td j  j ftd j  j fd _ fdd jD }tjtj	dd _
 j
|  _d S )Nr1   r   c                    s   g | ]	} j | d  qS r   )	arguments)r   idxre   r*   r+   r   u  s    z,TestSomersD.setup_method.<locals>.<listcomp>r   r   )ALL_INTEGER	ALL_FLOATdtypesr"   r=   r"  	functoolspartialstatssomersdpartialfuncr   )r%   input_arrayr*   re   r+   setup_methodo  s   

zTestSomersD.setup_methodc                 G   s6   | j | }t|j| jjdd t|j| jjdd d S )NV瞯<r5   )r+  r   rU   r   rV   )r%   r   rW   r*   r*   r+   pythranfunc~  s   
zTestSomersD.pythranfuncc                 C   sf   g dg dg dg}t |}| t j}t j|fi |}t|j|jdd t|j|jdd d S )N)rp         r2   r   )r2   r1     r  ru   )r   r!   r-   r2      r.  r5   )r)  r*  get_optional_argsr   rU   rV   )r%   r   r   optional_argsr   r*   r*   r+   test_pythranfunc_keywords  s   
z%TestSomersD.test_pythranfunc_keywordsc                 C   sn  g d}g d}d}t ||}t|j|d dd t|j|d dd g d}g d	}d}t ||}t|j|d dd t|j|d dd g d
}g d}d}t ||}t|j|d dd t|j|d dd td}td}d}t ||}t|j|d dd t|j|d dd td}tg d}d}t ||}t|j|d dd t|j|d dd td}tdd d d }d}t ||}t|j|d dd t|j|d dd td}tg d}d}t ||}t|j|d dd t|j|d dd g d}g d}d}t ||}t|j|d dd t|j|d dd t g dg d}t|jtj t|jtj t g dg d}t|jtj t|jtj t g dg d}t|jtj t|jtj t dgdg}t|jtj t|jtj t g g }t|jtj t|jtj td}td}t	t
t j|| d S )N)r/   r-   r   r!   r0   r.   r2   r3   )r/   r-   r0   r!   r   r3   r2   r.           rs   r   r.  r5   r   )	r   r/   r-   r   r!   r0   r.   r2   r3   )	r/   r-   r   r0   r!   r   r3   r2   r.   )r/   r-   r   r!   r0   r.   r2   )r/   r-   r0   r!   r   r2   r.   )g+$I$I¿g=/3n+?r1   rs   r   )
r   r-   r   r!   r.   r0   r/   r2   r3   r   )gs'}'?r8  rP   )g      r   )
r   r2   r3   r0   r/   r!   r.   r-   r   r   )g}'}'r8  )ru   r-   r   ru   r-   )r   r.   r2   r   r   )      g.ʂ?)r-   r-   r-   )r-   r   r-   g      $@g      4@)r)  r*  r   rU   rV   r"   r=   r#   rM   rH   rI   )r%   r&   r'   r   rW   x1x2r*   r*   r+   test_like_kendalltau  s   







z TestSomersD.test_like_kendalltauc                 C   s   g d}g d}d}d}d}t ||}t|j|dd t|j|dd t|jjd	 t ||}t|j|dd t|j|dd t|jjd
 d S )N)r   r   r   r-   r-   r-   r-   r-   r!   r!   r   r-   r-   r-   r-   r-   r-   r-   r!   r!   r!   r!   r!   r!   )r   r   r   r   r   r   r   r   r   r   r-   r-   r-   r-   r-   r-   r-   r-   r-   r-   r-   r-   r-   r-   gCE]t?g^_?gO((Ƿ?r.  r5   rc   )r!   r-   r-   r!   )r)  r*  r   rU   rV   r   r   r   )r%   r&   r'   d_crd_rcr)   rW   r*   r*   r+   test_asymmetry  s   zTestSomersD.test_asymmetryc                 C   s   t ddgddgddgddgddgg}|j}d}tt|j| t d	d
gdd
gd
dgg}d\}}tt|j| tt|jj| t d	d
gd
dgdd
gg}d}tt|jj| d S )Nr3   r-   r0   r/   r!   r.   r   gHHHHHH?r0  r   U   r9   )gM&w?rs   gtE]t)r"   r#   Tr   r)  r*  rU   )r%   r   dyxdxyr*   r*   r+   test_somers_original  s   (z TestSomersD.test_somers_originalc                 C   s6  d}d}t |}t jd tjj|t || d|}t	|}t j
|dt |d dd}t	|}t j
|dt |d dd}t	|}	t j
|dt |d d dd}
t	|
}t|jdd	d
 t|j|j t|j|	j t|j|j t|jdd	d
 t|j|j t|j|	j t|j|j d S )NrO   r.   r0   r   r)   r-   r   r   gayr.  r5   gPj$?)r"   prodr;   r<   r)  multinomialrvsrx   rQ   r*  insertr   r   rU   rV   )r%   Nr   sizesrW   s2r   s3r  s4res4r*   r*   r+   *test_contingency_table_with_zero_rows_cols,  s(   
 


 
z6TestSomersD.test_contingency_table_with_zero_rows_colsc           	      C   s  d}d}t |}t jd tjj|t || d|}|d }d}t	t
|d t| W d    n1 s;w   Y  |d }d	}t	t
|d t| W d    n1 s\w   Y  d
}t	t
|d tg g W d    n1 szw   Y  t	t
|d tdgg W d    n1 sw   Y  t d}t	t
|d t| W d    n1 sw   Y  d|d< t	t
|d t| W d    d S 1 sw   Y  d S )NrO   rG  r   rH  r-   z:All elements of the contingency table must be non-negativer   r`   z5All elements of the contingency table must be integerz?At least two elements of the contingency table must be nonzero.r   )r!   r!   r   )r"   rI  r;   r<   r)  rJ  rK  rx   rQ   rH   rI   r*  r   )	r%   rM  r   rN  rO  s5messages6s7r*   r*   r+   test_invalid_contingency_tablesK  s<   
 
"z+TestSomersD.test_invalid_contingency_tablesc                 C   sb   g d}ddt jg}g d}ddt j g}t||}t||}t|j|j t|j|j d S )Nr   rP   g @)r!   r-   r   r   r:  )r"   rL   r)  r*  r   rU   rV   )r%   r&   r<  r'   y2rW   r   r*   r*   r+   test_only_ranks_mattern  s   z"TestSomersD.test_only_ranks_matterc                 C   s6   t d}t d}t||}t|jt d d S )Nr1   )r"   r=   r)  r*  r   r   eye)r%   r&   r'   rW   r*   r*   r+   test_contingency_table_returny  s   

z)TestSomersD.test_contingency_table_returnc                 C   s`  g d}g d}t j||dd}|jdksJ t j||dd}t|j|j t|jd|jd   t j||d	d}t|j|j t|j|jd  |  t j||dd}|jdk s\J t j||d	d}t|j|j t|jd|jd   t j||dd}t|j|j t|j|jd  tjt	d
d t j||dd W d    d S 1 sw   Y  d S )Nr   )r/   r0   r2   r3   r2   r   r   r   r   r   r-   r   zalternative must be 'less'...r   z	ekki-ekki)
r)  r*  rU   r   r   rV   reverser  r
   rI   )r%   r;  r<  r   rW   r*   r*   r+   test_somersd_alternative  s,   "z$TestSomersD.test_somersd_alternativepositive_correlation)FTc                 C   s   t d}|r	|nt |}|rdnd}tj||dd}|j|ks#J |jdks*J tj||dd}|j|ks9J |j|r?dndksDJ tj||dd}|j|ksSJ |j|rYdndks^J d S )	Nr1   r   rP   r   r   r   r   r   )r"   r=   flipr)  r*  rU   rV   )r%   r`  r;  r<  expected_statisticrW   r*   r*   r+    test_somersd_perfect_correlation  s   
z,TestSomersD.test_somersd_perfect_correlationN)rZ   r[   r\   r-  r/  r6  r=  rA  rF  rT  rY  r[  r]  r_  r  r  r  rc  r*   r*   r*   r+   r   n  s    o#)r   c                   @   s  e Zd ZdZejdddgddggdfdd	gd
dggdfd	dgdd	ggdfddgddggdfddgddggdfddgddggdfddgddggdfddgddggdfddgdd	ggdfdd	gddggdfd	dgdd	ggdfgd d! Zejdddgddggd"fdd	gd
dggd#fd	dgdd	ggd$fddgddggd%fddgddggd&fddgddggd'fddgddggd(fddgddggd)fddgdd	ggd*fdd	gddggd+fd	dgdd	ggd$fgd,d- Zd.d/ Z	ejdddgddggd0fgd1d2 Z
ejdddgddggd3ejffddgddggd3ejffgd4d5 Zejdd	dgdd	ggd6fdd7gd8dggd9fd:d;gd<dggd=fgejd>d?d@gdAdB ZdCS )DTestBarnardExactz8Some tests to show that barnard_exact() works correctly.input_sample,expected+   r   r1   '   )gXyq@g{2s&Q7?rO   r-   ri   r/   )gllgEA]0K?r2   r3   )*)1%g_  ?r   )g_c1?g= ?   rT   )g5PyQgQ@2?r   r0  )ggJ"?)g_c1gwݝل?r   r.   )g7@g      ?r!   )g~t,?3O?r0   )gr?~CY7?c                 C   s(   t |}|j|j}}t||g| dS )zThe expected values have been generated by R, using a resolution
        for the nuisance parameter of 1e-6 :
        ```R
        library(Barnard)
        options(digits=10)
        barnard.test(43, 40, 10, 39, dp=1e-6, pooled=TRUE)
        ```
        Nr   rU   rV   r   r%   input_sampler   rW   rU   rV   r*   r*   r+   test_precise  s   zTestBarnardExact.test_precise)g7\@gA2?)gXS;gh?)g>!Ɏg6  ?)gSy@?g^F?)g-gXI#?)gaЍgo?)gb]?gFugH	?)g6ҭ@g      ?)gi(	rj  )gNXzrk  c                 C   s,   t |dd}|j|j}}t||g| dS )zThe expected values have been generated by R, using a resolution
        for the nuisance parameter of 1e-6 :
        ```R
        library(Barnard)
        options(digits=10)
        barnard.test(43, 40, 10, 39, dp=1e-6, pooled=FALSE)
        ```
        F)pooledNrl  rm  r*   r*   r+   test_pooled_param  s   z"TestBarnardExact.test_pooled_paramc                 C     d}t t|d tddgddggdd W d    n1 sw   Y  d	}t t|d ttd
dd W d    n1 sBw   Y  d}t t|d tddgddgg W d    n1 sdw   Y  d}t t|d tddgddggd W d    d S 1 sw   Y  d S )N7Number of points `n` must be strictly positive, found 0r   r   r-   r!   r.   r   ry   ,The input `table` must be of shape \(2, 2\).r0   *All values in `table` must be nonnegative.rP   zI`alternative` should be one of {'two-sided', 'less', 'greater'}, found .*not-correct)rH   rI   r   r"   r=   rQ   r%   	error_msgr*   r*   r+   test_raises   $   "zTestBarnardExact.test_raisesr9  c                 C   6   t |}|j|j}}t||d  t||d  d S Nr   r   r   rU   rV   r   rm  r*   r*   r+   test_edge_cases  s   z TestBarnardExact.test_edge_casesrs   c                 C   r|  r}  r~  rm  r*   r*   r+   test_row_or_col_zero&     z%TestBarnardExact.test_row_or_col_zero)rh  gE\/??   i,  )ggQ5r8     r:   i  )g&X}>r8  r   r   r   c           	      C   sf   |\}}|dkrt |dddddf }| }t||d}|j|j}}t||g||gdd dS )a  
        "The expected values have been generated by R, using a resolution
        for the nuisance parameter of 1e-6 :
        ```R
        library(Barnard)
        options(digits=10)
        a = barnard.test(2, 7, 8, 2, dp=1e-6, pooled=TRUE)
        a$p.value[1]
        ```
        In this test, we are using the "one-sided" return value `a$p.value[1]`
        to test our pvalue.
        r   NrP   r   Hz>r5   )r"   r#   r   rU   rV   r   )	r%   rn  r   r   expected_statless_pvalue_expectrW   rU   rV   r*   r*   r+   test_less_greater3  s   
z"TestBarnardExact.test_less_greaterN)rZ   r[   r\   __doc__r  r  r  ro  rq  rz  r  r"   rM   r  r  r*   r*   r*   r+   rd    sr    



rd  c                   @   s  e Zd ZdZdZejdddgddggdfdd	gd
d
ggdfddgddggdfd
dgd
d	ggdfddgd	dggdfdd	gddggdfddgddggdfddgddggdfd
dgddggdfg	dd Zejdddgd
dggd fddgddggd!fdd	gd
d
ggd"fdd#gddggd$fddgddggd%fddgd	dggd&fdd	gddggdfddgd'dggdfddgddggd!fddgddggd(fd
dgddggd)fgd*d+ Z	ejdddgd
dggd,fddgddggd-fdd	gd
d
ggd.fddgddggd/fddgd	dggd0fdd	gddggd1fddgddggd-fddgddggd2fgd3d4 Z
d5d6 Zejdddgdd
ggejejffddgd
dggejejffgd7d8 Zd9S ):TestBoschlooExactz9Some tests to show that boschloo_exact() works correctly.r  re  r-   r2   r3   )<vB\?g/??r/   r   r1   )gM?gA>?r   rT   r0  )_VѶ?g֭?)u %?gc'?r   r.   )r   r   r!   )rb   g      ?ru   )+f?gXc}v?   %   )gZыD?ggi]?c                 C   2   t |dd}|j|j}}t||g|| jd dS )a  The expected values have been generated by R, using a resolution
        for the nuisance parameter of 1e-8 :
        ```R
        library(Exact)
        options(digits=10)
        data <- matrix(c(43, 10, 40, 39), 2, 2, byrow=TRUE)
        a = exact.test(data, method="Boschloo", alternative="less",
                       tsmethod="central", np.interval=TRUE, beta=1e-8)
        ```
        r   r   r5   Nr   rU   rV   r   ATOLrm  r*   r*   r+   	test_less[  s   zTestBoschlooExact.test_lessrf  r   rg  )k\2?g0,%?)gKv?gN3?)r  g'&5?ri  )gw@_?g7?)gi{?gɑ)z?)օa?g1|?r0   )gY<;?gND?)ge?gG`?c                 C   r  )a  The expected values have been generated by R, using a resolution
        for the nuisance parameter of 1e-8 :
        ```R
        library(Exact)
        options(digits=10)
        data <- matrix(c(43, 10, 40, 39), 2, 2, byrow=TRUE)
        a = exact.test(data, method="Boschloo", alternative="greater",
                       tsmethod="central", np.interval=TRUE, beta=1e-8)
        ```
        r   r   r5   Nr  rm  r*   r*   r+   test_greaterx  s   zTestBoschlooExact.test_greater)r  gqQS,5?)r  gG?/??)r  gKE`?)r  ghr1ֽ?)r  grfb?)rb   g      ?)r  gP:pRv?c                 C   s4   t |ddd}|j|j}}t||g|| jd dS )a  The expected values have been generated by R, using a resolution
        for the nuisance parameter of 1e-8 :
        ```R
        library(Exact)
        options(digits=10)
        data <- matrix(c(43, 10, 40, 39), 2, 2, byrow=TRUE)
        a = exact.test(data, method="Boschloo", alternative="two.sided",
                       tsmethod="central", np.interval=TRUE, beta=1e-8)
        ```
        r   @   )r   ry   r5   Nr  rm  r*   r*   r+   test_two_sided  s   z TestBoschlooExact.test_two_sidedc                 C   rr  )Nrs  r   r   r-   r!   r.   r   rt  ru  r0   rv  rP   zK`alternative` should be one of \('two-sided', 'less', 'greater'\), found .*rw  )rH   rI   r   r"   r=   rQ   rx  r*   r*   r+   rz    r{  zTestBoschlooExact.test_raisesc                 C   r|  r}  )r   rU   rV   r   rm  r*   r*   r+   r    r  z&TestBoschlooExact.test_row_or_col_zeroN)rZ   r[   r\   r  r  r  r  r  r  r  r  rz  r"   rM   r  r*   r*   r*   r+   r  V  sl    


r  c                   @   s^   e Zd Zdd Zdd Zdd Zejdg dd	d
 Z	dd Z
dd Zdd Zdd ZdS )TestCvm_2sampc                 C   sH  t dd}t d}d}tjt|d t|| W d    n1 s&w   Y  tjt|d t|| W d    n1 sBw   Y  d}tjt|d tg | W d    n1 s`w   Y  tjt|d t|dg W d    n1 s}w   Y  d}tjt|d t||d	 W d    d S 1 sw   Y  d S )
Nr1   r{   r/   z#The samples must be one-dimensionalr   z/x and y must contain at least two observations.r   z/method must be either auto, exact or asymptoticxyz)r"   r=   rQ   r  r
   rI   r   )r%   r&   r'   msgr*   r*   r+   r}     s(   
"z TestCvm_2samp.test_invalid_inputc                 C   sN   g d}g d}t ||}t t|t|}t|j|jf|j|jf d S )N)r-   r!   r.   r2   r0   )r   r   ru   r2  )r   r"   r#   r   rU   rV   r%   r&   r'   r   r   r*   r*   r+   test_list_input  s
   
zTestCvm_2samp.test_list_inputc                 C   s>   g d}g d}t ||}t|jddd t|jddd d S )N)	gffffff@g @r   gffffff!@皙"@g#@g333333$@g333333%@gffffff&@)g@g@g@      @333333@gffffff @g333333"@g#@g%@g&@g      '@g(@g      )@g*@g333333-@gS㥛?r4   r5   g
ףp=
?r`   )r   r   rU   rV   r%   r&   r'   rr*   r*   r+   test_example_conover  s
   
z"TestCvm_2samp.test_example_conoverzstatistic, m, n, pval))i  r/   r0   gcj`?)ii  r2   r2   gtE]t?)i@  r.   r0   g88?)i  r0   r2   gXwS?c                 C   s   t t|||| d S r   )r   r   )r%   rU   r   ry   pvalr*   r*   r+   test_exact_pvalue  s   	zTestCvm_2samp.test_exact_pvaluec                 C   s   t jd tjjdd}tjjdd}t||}td|j  k o$dk n   t||d }td|j  k o=dk  d S    d S )Ni  i@B rN  i r   r   r~   )	r"   r;   r<   r   rw   rK  r   r   rV   r  r*   r*   r+   test_large_sample
  s   
(zTestCvm_2samp.test_large_samplec                 C   sd   t jd t jd}t jd}t||dd}t||dd}t|j|j t|j|jdd d S )	Nr   r2   r3   r   r   r   r`   r5   )	r"   r;   r<   r   r   r   rU   r   rV   r  r*   r*   r+   test_exact_vs_asymptotic  s   z&TestCvm_2samp.test_exact_vs_asymptoticc                 C   st   t d}g d}t||dd}t||dd}t|j|j t d}t||dd}t||dd}t|j|j d S )Nr1   )rb   g@g333333*@r   r   r   r   r   )r"   r=   r   r   rV   r  r*   r*   r+   test_method_auto  s   

zTestCvm_2samp.test_method_autoc                 C   sV   t d}t||}t|j|jfd t|d d |d d }t|j|jfd d S )Nri  r7  r.   )r"   r=   r   r   rU   rV   )r%   r&   rW   r*   r*   r+   test_same_input*  s
   

zTestCvm_2samp.test_same_inputN)rZ   r[   r\   r}   r  r  r  r  r  r  r  r  r  r  r*   r*   r*   r+   r    s    

	r  c                     s   t jg dtd t  } t }d}t D ]}|d7 }t || d d }|tdd |D  qt 	 fddt
t d D }t|| tt|| d S )	N)r!   r-   r.   dtyper   r   rP   c                 S   r   r*   )	frozensetr   r*   r*   r+   r   B  r   z4test_all_partitions_concatenated.<locals>.<listcomp>c              	      s4   g | ]}t t |d  t |d d  qS Nr   )r   binomsumr   rt  r*   r+   r   D  s    ,)r"   r#   intcumsumsetr   splitaddr?   r   r   r   r   )ncall_partitionscounterpartition_concatenatedpartitioningr   r*   rt  r+    test_all_partitions_concatenated6  s   

r  c                
   @   s  e Zd ZdZdd Zejdg ddd Zejdd	e	
d
d fdde	dd
fgdd Zdd Zdd Zdd Zejddejddejdddd Zdd  Zejdd!d"d# Zejdd!d$d% Zd&d' Zej ejdd(d)d* Zejdd!d+d, Zejdd!d-d. Zd/d0 Zejdd!d1d2 Zej ejdd3d4d5 Zg d6g d7d8d9d:d;d<d=d>Zg d?g d@dAdBdCdDdEdFd>Zej ejdGeefdHdI ZejdJdKdLdM ZdNS )OTestPermutationTestg+=c                 C   s~  dd }d}t jt|d tg ddgf| W d    n1 s"w   Y  d}t jt|d td| W d    n1 s@w   Y  t jt|d td| W d    n1 s\w   Y  d	}t jt|d tg dg df|d
d W d    n1 sw   Y  d}t jt|d tg dg df|dd W d    n1 sw   Y  d}t jt|d tg dg df|d
d W d    n1 sw   Y  d}t jt|d tg dg df|dd W d    n1 sw   Y  d}t jt|d tg dg df|dd W d    n	1 sw   Y  d}t jt|d tg dg df|dd W d    n	1 sBw   Y  d}t jt|d tg dg df|dd W d    n	1 siw   Y  d}t jt|d tg dg df|dd W d    n	1 sw   Y  d}t jt|d tg dg df|dd W d    d S 1 sw   Y  d S )Nc                 S   s   t | |f|jS r   r)  	ttest_indrU   r&   r'   r   r*   r*   r+   statS     z:TestPermutationTest.test_permutation_test_iv.<locals>.statz2each sample in `data` must contain two or more ...r   r   r   z6`data` must be a tuple containing at least two samples)r   z`axis` must be an integer.r|   r   z `permutation_type` must be in...r   )permutation_typez'`vectorized` must be `True` or `False`.)
vectorizedz)`n_resamples` must be a positive integer.i)n_resamplesg     D@z+`batch` must be a positive integer or None.)batchz`alternative` must be in...r   z"'herring' cannot be used to seed aherring)random_state)r  r
   rI   r   	TypeError)r%   r  rV  r*   r*   r+   test_permutation_test_ivQ  sh   $z,TestPermutationTest.test_permutation_test_ivr  )pairingssamplesindependentc                    s  t jd t jd}t jd} fdd d _d _d|ddd}tj||f fdd	i|}t jd
 t jd	 d _tj||f fddi|}t jd t jd d _tj||f fddi|}t jd t jd t|j	|j	 t|j	|j	 d S )Nr   r1   c                    sN   | j dkrdnt| }t| j _  jd7  _tj| |dtj||d S )Nr   r   )r   r   max
batch_sizer  r"   mean)r&   r'   r   r  rU   r*   r+   rU     s   z1TestPermutationTest.test_batch.<locals>.statisticri   T)r  r  r  r  r  r   i  2   r  r-   )
r"   r;   r<   r   r  r  r)  r   r   rV   )r%   r  r&   r'   r   r   r   r  r*   r  r+   
test_batch  s,   zTestPermutationTest.test_batchzpermutation_type, exact_sizer  r!   r-   )r  r3   r  r0   c                 C   s   t jd t jd}t jd}dd }|ddd}tj||f|fddi|}t|jjd tj||f|fi |}t|jj| d S )Nr   r!   c                 S      t j| |dt j||d S Nr   r"   r  r  r*   r*   r+   rU        z8TestPermutationTest.test_permutations.<locals>.statisticT)r  r  r  r  )	r"   r;   r<   r   r)  r   r   null_distributionrN  )r%   r  
exact_sizer&   r'   rU   r   rW   r*   r*   r+   test_permutations  s   z%TestPermutationTest.test_permutationsc                 C   s   d\}}d\}}}t || ||ksJ tjj|d}tjj|d}||f}dd }	ddd||d	}
t||	fd
|i|
}t||	fd
tji|
}|j|jksRJ t	|j
|j
dd d S )N)r   r   )r3   r   i]  r  c                 S   r  r  r  r  r*   r*   r+   rU     r  zNTestPermutationTest.test_randomized_test_against_exact_both.<locals>.statisticTr  rO   r  r  r  r   r  r  r`   r5   )r   r  r)  rw   rK  r   r"   rL   rU   r   rV   r%   r   rngnxnypermutationsr&   r'   datarU   r   rW   r   r*   r*   r+   'test_randomized_test_against_exact_both  s    
z;TestPermutationTest.test_randomized_test_against_exact_bothc                 C   s   d\}}d\}}}d| |ksJ t jj|d}t jj|d}||f}dd }	ddd	||d
}
t||	fd|i|
}t||	fdtji|
}|j|jksNJ t|j|jdd d S )N)r   N)ri  ri  i }  r-   r  c                 S   s   t j| | |dS r  r  r  r*   r*   r+   rU     r  zQTestPermutationTest.test_randomized_test_against_exact_samples.<locals>.statisticTr  rO   r  r  r`   r5   )	r)  rw   rK  r   r"   rL   rU   r   rV   r  r*   r*   r+   *test_randomized_test_against_exact_samples  s    
z>TestPermutationTest.test_randomized_test_against_exact_samplesc                    s   d}zt jd}W n ty   t jd}Y nw d\}}}t||ks(J tjj	|d}tjj	|d |g} fdd}t
|}	ddd	||d
}
t||	fd|i|
}t||	fdt ji|
}|j|jkskJ t|j|jdd d S )Nr   r   )r3   r3   i@  r  c                    s   t |  d S )Nr   )r)  pearsonrr&   r'   r*   r+   statistic1d     zTTestPermutationTest.test_randomized_test_against_exact_pairings.<locals>.statistic1dTr  rO   r  r  r`   r5   )r"   r;   default_rngAttributeErrorRandomStater   	factorialr)  rw   rK  
_bootstrap_vectorize_statisticr   rL   rU   r   rV   )r%   r   r  r  r  r  r&   r  r  rU   r   rW   r   r*   r  r+   +test_randomized_test_against_exact_pairings  s,   

z?TestPermutationTest.test_randomized_test_against_exact_pairingsr   )r   r   r  )r9   g    eAr   )r   r   r-   c           	   	   C   s   t dddd}t t dd d d d f d|}tj||||d|d}dd }t||f|d	|||dd
}t|j|j| j	d |dkrWt|j
d d d |j
| j	d d S t|j
|j
| j	d d S )N<   r!   r.   r/   r   )r  r   r  r   c                 S      t j| ||djS r  r  r  r*   r*   r+   rU   *  r  zETestPermutationTest.test_against_permutation_ttest.<locals>.statisticT)r  r  r   r   r  r  r9   r      )r"   r=   rQ   r   r)  r  r   r   rU   r  rV   )	r%   r   r  r   r&   r'   r   rU   r   r*   r*   r+   test_against_permutation_ttest  s   
"$z2TestPermutationTest.test_against_permutation_ttestc                    s   t jd tjjddd}tjjdddd}d tj|| d	d
} fdd}t||f|t j d}t	|j
|j
| jd t	|j|j| jd d S )Nr   r.   r   rN  scaler/   r!   rN  locr  r   r   )r   modec                    s   t j| |d djS )Nasymp)r  r   )r)  ks_2samprU   r&   r'   r   r*   r+   r  E  s
   
z<TestPermutationTest.test_against_kstest.<locals>.statistic1dr  r   r  )r"   r;   r<   r)  rw   rK  r  r   rL   r   rU   r  rV   r%   r&   r'   r   r  rW   r*   r   r+   test_against_kstest=  s   z'TestPermutationTest.test_against_kstestr   r   r   c           	      C   s   t jd tjjddd}tjjddd}ddd	d
}|| }tj|||d}dd }t||f|t j|d}t	|j
|j
| jd t	|j|j| jd d S )Nr   r.   r   r  r/   r!   r   r   r   r  r   c                 S      t | |jS r   r)  ansarirU   r  r*   r*   r+   r  \     z<TestPermutationTest.test_against_ansari.<locals>.statistic1dr  r  )r"   r;   r<   r)  rw   rK  r  r   rL   r   rU   r  rV   )	r%   r   r&   r'   alternative_correspondencealternative_scipyr   r  rW   r*   r*   r+   test_against_ansariO  s   z'TestPermutationTest.test_against_ansaric                 C   s   t jd tjjddd}tjjddd}tj||d|d}dd }t||f|d	t j|dd
}t	|j
|j
| jd t	|j|j| jd d S )Nr   )r!   r/   r-   rN  r  ra   r   )r   r   c                 S   r  r  )r)  r   rU   r  r*   r*   r+   rU   m  r  z@TestPermutationTest.test_against_mannwhitneyu.<locals>.statisticT)r  r  r   r   r  )r"   r;   r<   r)  uniformrK  r   r   rL   r   rU   r  rV   )r%   r   r&   r'   r   rU   rW   r*   r*   r+   test_against_mannwhitneyue  s   z-TestPermutationTest.test_against_mannwhitneyuc                 C   s   t jd tjjddd}tjjdddd}tj||dd	}d
d }t||f|t jdd}t	|j
|j
| jd t	|j|j| jd d S )Nr   r.   r   r  r/   r!   r  r   r   c                 S      t j| |ddjS Nr   r   )r)  r   rU   r  r*   r*   r+   r  ~  
   z9TestPermutationTest.test_against_cvm.<locals>.statistic1dr   r  r  )r"   r;   r<   r)  rw   rK  r   r   rL   r   rU   r  rV   r  r*   r*   r+   test_against_cvmw  s   z$TestPermutationTest.test_against_cvm)rP   r-   c                 C   s4  t jd t jd}t jddd}t jddd}|||f}dd }dd	 }t|}t|}	t |d
}
t |d}t |d}||
|||d}|	|
|||d}d|dddd}t||fdt ji|}t||fddi|}t	|j
|| jd t	|j
|j
| jd t	|j|dd t	|j|jdd d S )Nr   r!   r   r-   r.   c                  W      t j|  jS r   )r)  kruskalrU   r  r*   r*   r+   r       zITestPermutationTest.test_vectorized_nsamp_ptype_both.<locals>.statistic1dc                  W   r  r   )r)  r  rV   r  r*   r*   r+   pvalue1d  r  zFTestPermutationTest.test_vectorized_nsamp_ptype_both.<locals>.pvalue1d)r-   r!   r!   )r-   r!   r-   )r-   r!   r.   r   Fr   r  r  r   r   r  r  r  ri   r  gQ?r5   Q?)r"   r;   r<   r   r  r  r   r   rL   r   rU   r  rV   )r%   r   r&   r'   zr  r  r  rU   rV   r<  rZ  z2rb  expected_pvaluer   rW   r   r*   r*   r+    test_vectorized_nsamp_ptype_both  s.   	


z4TestPermutationTest.test_vectorized_nsamp_ptype_bothc              	      s  t jd tjjddd}tjjddd}dd }dd } fd	d
}t|}|||dd}|d d dd d f }	|d d dd d f }
t|| f|ddt j	 dd}t||f|ddt j	 dd}t
|j|j| jd  dkrzt
|j|	| jd t
|j|
| jd t
|j|j| jd d S )Nr   )r!   r0   r-   r  ra   c                 S   s   t j| ddjS Nr   r   r)  wilcoxonrU   )r  r*   r*   r+   statistic_1samp_1d  s   zETestPermutationTest.test_against_wilcoxon.<locals>.statistic_1samp_1dc                 S   r	  r  r  r  r*   r*   r+   statistic_2samp_1d  r  zETestPermutationTest.test_against_wilcoxon.<locals>.statistic_2samp_1dc                    s   t j| | dS )Nr   )r)  r  r  r   r*   r+   test_1d  r  z:TestPermutationTest.test_against_wilcoxon.<locals>.test_1dr   r   Fr  )r  r  r  r   r   r  r   )r"   r;   r<   r)  r  rK  r  r  r   rL   r   rU   r  rV   )r%   r   r&   r'   r  r  r  testr   r  
expected_pr   r   r*   r   r+   test_against_wilcoxon  s.   
z)TestPermutationTest.test_against_wilcoxonc           	      C   s   t jd t jjdddd}d||dk< ddd}||dd}}}tj||||d	}tj|f|d
dt j|d}t|j	|j	| j
d d S )Nr   r-   r1   r  rP   c                 S   s   t j| dk|dS )Nr   r   r"   r  )r&   r   r*   r*   r+   rU     r  z=TestPermutationTest.test_against_binomtest.<locals>.statisticrb   r   Tr  )r  r  r  r   r  r!  )r"   r;   r<   randintr)  	binomtestr   rL   r   rV   r  )	r%   r   r&   rU   r   ry   r)   r   rW   r*   r*   r+   test_against_binomtest  s   
z*TestPermutationTest.test_against_binomtestc                    s   t jd tjjdd}|tjjdd  tj| dd} fdd}t|f|dt jd	}t	|j
|j| jd
 t	|j|j| jd
 d S )Nr   r0   r  r   r   c                    s   t j|  ddjS r
  )r)  
kendalltaucorrelationr  r  r*   r+   r    r  z@TestPermutationTest.test_against_kendalltau.<locals>.statistic1dr  )r  r  r  )r"   r;   r<   r)  rw   rK  r%  r   rL   r   rU   r&  r  rV   )r%   r&   r   r  rW   r*   r  r+   test_against_kendalltau  s   
z+TestPermutationTest.test_against_kendalltauc                    s    fdd}t jd t jddkt}t jdd|  dkt tj| d }t	|f|dt j
|d	}tj||d
}t|j|d  d S )Nc                    s   t | dk dk@ S r  r!  r  r  r*   r+   rU     s   z@TestPermutationTest.test_against_fisher_exact.<locals>.statisticr   r2   r   r   r   r  r  r  r   r   )r"   r;   r<   r   astypefloatr)  contingencycrosstabr   rL   fisher_exactr   rV   )r%   r   rU   r&   tabrW   r   r*   r  r+   test_against_fisher_exact	  s   
z-TestPermutationTest.test_against_fisher_exact)r   c                 C   sP  t jd t jddd}t jddd}t jddd}tj||d}tj||d}tj||d}|d }|||f}dd }d	d
 }t|}t|}	|t j| d|i}
|	t j| d|i}d|dddd}t	||fdt j
i|}t	||fddi|}t|j|
| jd t|j|j| jd t|j|| jd t|j|jdd d S )Nr   r-   r.   r!   r   r   c                  W      t j| dddjS )NTr   rankedr   )r)  page_trend_testrU   r  r*   r*   r+   r  /  r  zLTestPermutationTest.test_vectorized_nsamp_ptype_samples.<locals>.statistic1dc                  W   r1  )NTr   r2  )r)  r4  rV   r  r*   r*   r+   r  3  r  zITestPermutationTest.test_vectorized_nsamp_ptype_samples.<locals>.pvalue1dr   Fr   r  r  r  i  r  r  r5   )r"   r;   r<   r   r)  rankdatar  r  broadcast_arraysr   rL   r   rU   r  rV   )r%   r   r&   r'   r  r  r  r  rU   rV   rb  r  r   rW   r   r*   r*   r+   #test_vectorized_nsamp_ptype_samples  s0   	


z7TestPermutationTest.test_vectorized_nsamp_ptype_samplesrG   )r|   r-   r   r   r   g&_?r   gd~$I"@glu?)r&   r'   expected_lessexpected_2sidedexpected_Pr_gte_S_meanrb  expected_avgexpected_std)o   k   rO   c   f   j   m   l   )	r>  rC  rA  b   i   g   n   rE  h   gd?gd?gYo5 ?g     @@@g{C@gDmFA@casec                 C   sT  |d }|d }|d }|d }|d }|d }|d }|d }	d	d
 }
t j $}|td t||f|
t jdd}t||f|
t jdd}W d   n1 sPw   Y  t|j|| j	d t|j
|dd t|j
|dd t|j |dd t|j |	dd |j}|j }t|j}t t |j| t || k| }t|| dS )a  
        Results above from SAS PROC NPAR1WAY, e.g.

        DATA myData;
        INPUT X Y;
        CARDS;
        1 1
        1 2
        1 3
        1 4
        2 1.5
        2 2
        2 2.5
        ods graphics on;
        proc npar1way AB data=myData;
            class X;
            EXACT;
        run;
        ods graphics off;

        Note: SAS provides Pr >= |S-Mean|, which is different from our
        definition of a two-sided p-value.

        r&   r'   rb  r8  r9  r:  r;  r<  c                 S   r  r   r   r  r*   r*   r+   r  }  r  z7TestPermutationTest.test_with_ties.<locals>.statistic1dz$Ties preclude use of exact statisticr   r  r   Nr  绽|=r5   r   )r"   r   suppress_warningsfilterUserWarningr   rL   r   rU   r  rV   r  r  stdr   r  r   )r%   rI  r&   r'   rb  r8  r9  r:  r;  r<  r  suprW   r   Sr  ry   Pr_gte_S_meanr*   r*   r+   test_with_tiesW  s@   

z"TestPermutationTest.test_with_tieszalternative, expected_pvalue))r   g?)r   gOO?)r   g<OO?c                    sx   t jd tjjdd}|tjjdd  d} fdd}t|f|dt j|d}t|j	|| j
d	 t|j|d
d dS )aU  
        Results above from R cor.test, e.g.

        options(digits=16)
        x <- c(1.76405235, 0.40015721, 0.97873798,
               2.2408932, 1.86755799, -0.97727788)
        y <- c(2.71414076, 0.2488, 0.87551913,
               2.6514917, 2.01160156, 0.47699563)
        cor.test(x, y, method = "spearm", alternative = "t")
        r   r0   r  g?c                    s   t |  jS r   )r)  	spearmanrr&  r  r  r*   r+   r    r  zDTestPermutationTest.test_against_spearmanr_in_R.<locals>.statistic1dr  r(  r  gvIh%<=r5   N)r"   r;   r<   r)  rw   rK  r   rL   r   rU   r  rV   )r%   r   r  r&   rb  r  rW   r*   r  r+   test_against_spearmanr_in_R  s   
z/TestPermutationTest.test_against_spearmanr_in_RN) rZ   r[   r\   r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r  r  r  slowr  r   r$  r'  r/  r7  
tie_case_1
tie_case_2rR  rT  r*   r*   r*   r+   r  K  s|    6
"


.
'

,<r  c                   @   s.  e Zd Zg dg dg dfZg dg dg dfZg dg dg dfZdZdZd	Ze	j
jd
eedfeedfeedffg dddd ZdZdZe	j
jd
eedfeedffddgddd Zdd Zdd Zdd Zdd  Zd!d" Zd#d$ Ze	j
d%d&d'd( Ze	j
d)g d*d+d, Zd-d. Zd/S )0TestTukeyHSD)r       7@ffffff:@皙;@fffff=@)ffffff<@皙A@     =@皙@@皙>@)g:@gL<@gL8@g333333:@g;@)r  rY  gHzG:@rZ  r[  r\  ra  ra  )r  rY  rZ  )
r]  r^  r_  r`  ra  r]  r^  r_  r`  ra  aK  
    Comparison LowerCL Difference UpperCL Significance
    2 - 3	0.6908830568	4.34	7.989116943	    1
    2 - 1	0.9508830568	4.6 	8.249116943 	1
    3 - 2	-7.989116943	-4.34	-0.6908830568	1
    3 - 1	-3.389116943	0.26	3.909116943	    0
    1 - 2	-8.249116943	-4.6	-0.9508830568	1
    1 - 3	-3.909116943	-0.26	3.389116943	    0
    aS  
    Comparison LowerCL Difference UpperCL Significance
    2 - 1	0.2679292645	3.645	7.022070736	    1
    2 - 3	0.5934764007	4.34	8.086523599	    1
    1 - 2	-7.022070736	-3.645	-0.2679292645	1
    1 - 3	-2.682070736	0.695	4.072070736	    0
    3 - 2	-8.086523599	-4.34	-0.5934764007	1
    3 - 1	-4.072070736	-0.695	2.682070736	    0
    aS  
    Comparison LowerCL Difference UpperCL Significance
    2 - 3	1.561605075	    4.34	7.118394925	    1
    2 - 1	2.740784879	    6.08	9.419215121	    1
    3 - 2	-7.118394925	-4.34	-1.561605075	1
    3 - 1	-1.964526566	1.74	5.444526566	    0
    1 - 2	-9.419215121	-6.08	-2.740784879	1
    1 - 3	-5.444526566	-1.74	1.964526566	    0
    zdata,res_expect_str,atolrc   rJ  )equal size samplezunequal sample sizezextreme sample size differences)idsc                 C   s   t j|dd dd tdd}tj| }| }|D ]G\}}}	}
}}t	|d t	|d }}t
|j||f |	|d t
|j||f |
|d t
|j||f ||d t
|j||f d	k|dk qdS )
a  
        SAS code used to generate results for each sample:
        DATA ACHE;
        INPUT BRAND RELIEF;
        CARDS;
        1 24.5
        ...
        3 27.8
        ;
        ods graphics on;   ODS RTF;ODS LISTING CLOSE;
           PROC ANOVA DATA=ACHE;
           CLASS BRAND;
           MODEL RELIEF=BRAND;
           MEANS BRAND/TUKEY CLDIFF;
           TITLE 'COMPARE RELIEF ACROSS MEDICINES  - ANOVA EXAMPLE';
           ods output  CLDiffs =tc;
        proc print data=tc;
            format LowerCL 17.16 UpperCL 17.16 Difference 17.16;
            title "Output with many digits";
        RUN;
        QUIT;
        ODS RTF close;
        ODS LISTING;
         -  r/   Nr  )r0   r0   r   r5   ra   r"   asarrayreplacer  r*  rQ   r)  	tukey_hsdconfidence_intervalr  r   lowrU   highrV   )r%   r  res_expect_strr6   
res_expect	res_tukeyconfr   jlrO  hsigr*   r*   r+   test_compare_sas  s   !
zTestTukeyHSD.test_compare_sasz
        1	2	-8.2491590248597	-4.6	-0.9508409751403	0.0144483269098
        1	3	-3.9091590248597	-0.26	3.3891590248597	0.9803107240900
        2	3	0.6908409751403	4.34	7.9891590248597	0.0203311368795
        z
        1	2	-7.02207069748501	-3.645	-0.26792930251500 0.03371498443080
        1	3	-2.68207069748500	0.695	4.07207069748500 0.85572267328807
        2	3	0.59347644287720	4.34	8.08652355712281 0.02259047020620
        r	  r  rb  zunequal size samplec                 C   s   t j| tdd}tj| }| }|D ]E\}}}	}
}}t|d t|d }}t	|j
||f |	|d t	|j||f |
|d t	|j||f ||d t	|j||f ||d qdS )an  
        vals = [24.5, 23.5,  26.4, 27.1, 29.9, 28.4, 34.2, 29.5, 32.2, 30.1,
         26.1, 28.3, 24.3, 26.2, 27.8]
        names = {'zero', 'zero', 'zero', 'zero', 'zero', 'one', 'one', 'one',
         'one', 'one', 'two', 'two', 'two', 'two', 'two'}
        [p,t,stats] = anova1(vals,names,"off");
        [c,m,h,nms] = multcompare(stats, "CType","hsd");
        r  r!   r0   r   r5   N)r"   rg  r  r*  rQ   r)  ri  rj  r  r   rk  rU   rl  rV   )r%   r  rm  r6   rn  ro  rp  r   rq  rr  rO  rs  r)   r*   r*   r+   test_compare_matlab  s   

z TestTukeyHSD.test_compare_matlabc                 C   s   d}t j|dd dd tdd}g dg d	g d
f}tj| }| }|D ]E\}}}}	}
}t	|d t	|d }}t
|j||f |	dd t
|j||f |dd t
|j||f |
dd t
|j||f |dd q,dS )a+  
        Testing against results and p-values from R:
        from: https://www.rdocumentation.org/packages/stats/versions/3.6.2/
        topics/TukeyHSD
        > require(graphics)
        > summary(fm1 <- aov(breaks ~ tension, data = warpbreaks))
        > TukeyHSD(fm1, "tension", ordered = TRUE)
        > plot(TukeyHSD(fm1, "tension"))
        Tukey multiple comparisons of means
        95% family-wise confidence level
        factor levels have been ordered
        Fit: aov(formula = breaks ~ tension, data = warpbreaks)
        $tension
        z
                diff        lwr      upr     p adj
        2 - 3  4.722222 -4.8376022 14.28205 0.4630831
        1 - 3 14.722222  5.1623978 24.28205 0.0014315
        1 - 2 10.000000  0.4401756 19.55982 0.0384598
        rd  re  r/   Nr  rv  )   r9   6   r0  F   4   3   rx  C   rp   r1        r~  r  )   rT   ,   )r2  r  r~  r3  ru   r2  r  r9   $   *   rx  r  r   rg  r:   r  rg  r~  )r  r  r  r2  r1   rf  r:   ri  rx  rT   r  r  r3  r   ri  ri  r   r:   r   r  r5   r   gh㈵>rf  )r%   str_resrn  r  ro  rp  r   rq  rO  rr  rs  r)   r*   r*   r+   test_compare_r2  s&   
zTestTukeyHSD.test_compare_rc                 C   s   g d}g d}g d}g d}t ||||}| }tg dg dg dg dg}tg d	g d
g dg dg}dD ]$\}	}
t|j|	|
f ||	|
f dd t|j|	|
f ||	|
f dd q@dS )zp
        Example sourced from:
        https://www.itl.nist.gov/div898/handbook/prc/section4/prc471.htm
        )皙@g@333333@gffffff@g      @)g @r  g333333@gffffff"@r  )g       @g      %@g333333 @r  r  )r  gffffff@gffffff@gffffff@g@)r   r   r   g      )g(\?r   gq=
ףpgp=
ף?)gGz?r   r   g
ףp=
?)r   r   r   r   )r   r   r   gzG?)gzG@r   g      ?g=
ףp=@)g=
ףp=@r   r   g@)r   r   )r-   r   )r   r!   r   r>  r`   r5   N)r)  ri  rj  r"   rg  r   rk  rl  )r%   group1group2group3group4rW   rp  lowerupperr   rq  r*   r*   r+   test_engineering_stat_handbook[  s,    "z+TestTukeyHSD.test_engineering_stat_handbookc                 C   s   t jd t jdd}tj| }| }t|j|j	j
  tt |j	|j	d  tt |j|jd  t|j|jj
  tt |jd t|j|jj
 tt |jd d S )Nr8   r!   rO   )r   r   r   r   )r"   r;   r<   r   r)  ri  rj  r   rk  rl  rC  diagonalrU   rV   )r%   r  rW   rp  r*   r*   r+   test_rand_symmu  s   
zTestTukeyHSD.test_rand_symmc                 C   sN   t tdd tg ddtjgg d W d    d S 1 s w   Y  d S )Nz...must be finite.r   r   r-   )r0   r2   r!   )rH   rI   r)  ri  r"   rL   re   r*   r*   r+   test_no_inf  s   "zTestTukeyHSD.test_no_infc                 C   sT   t tdd tddgddggddgg d W d    d S 1 s#w   Y  d S )Nz...must be one-dimensionalr   r   r-   r!   r/   )r/   r   r0   rH   rI   r)  ri  re   r*   r*   r+   
test_is_1d  s   $"zTestTukeyHSD.test_is_1dc                 C   sH   t tdd tg ddgg d W d    d S 1 sw   Y  d S )Nz...must be greater than oner   r-   r/   )r.   r/   r0   r  re   r*   r*   r+   test_no_empty  s   "zTestTukeyHSD.test_no_emptynargsr   c                 C   sF   t tdd tjg dg|   W d    d S 1 sw   Y  d S )Nz...more than 1 treatment.r   r   r2   r!   r  )r%   r  r*   r*   r+   test_not_enough_treatments  s   "z'TestTukeyHSD.test_not_enough_treatmentscl)r:  r   r   r-   c                 C   sV   t tdd tg dddgddg}|| W d    d S 1 s$w   Y  d S )Nzmust be between 0 and 1r   r  r!   r.   r   )rH   rI   r)  ri  rj  )r%   r  r  r*   r*   r+   test_conf_level_invalid  s   "z$TestTukeyHSD.test_conf_level_invalidc                 C   sP   t j| jd d  }t j| jd d  }t|j|jd  t|j|jd  d S )Nr-   r   r  )r)  ri  data_diff_sizer  r   rV   )r%   ro  	res_ttestr*   r*   r+   test_2_args_ttest  s   zTestTukeyHSD.test_2_args_ttestN)rZ   r[   r\   data_same_sizer  extreme_sizesas_same_sizesas_diff_sizesas_extremer  r  r  ru  matlab_sm_sizmatlab_diff_szrw  r  r  r  r  r  r  r  r  r  r*   r*   r*   r+   rX    s\    



%
)

rX  )3
__future__r   r   r   	itertoolsr   numpyr"   r'  r  numpy.testingr   r   r   r	   r
   rH   scipy.statsr)  r   scipy.stats._hypotestsr   r   r   r   r   r   r   r   r   scipy.stats._mannwhitneyur   r   scipy.stats._bootstrapr  common_testsr   scipyr   scipy._lib._testutilsr   r   r]   r   r   rd  r  r  r  r  rX  r*   r*   r*   r+   <module>   sH    ,:\   A  W  Z    m