o
    GeD@                     @   sx  d dl mZ d dlZd dlmZmZmZmZm	Z	 d dl
Z
d dl
mZ dd Zdd Ze
jjd	d
 Ze
jjdd Zdd Zdd ZG dd dejZG dd dejZG dd dejZG dd dejZdd Zdd Zdd Zdd  Zg d!Ze
jd"ed#d$g e
jd%ee
jd&ee
jd'ed(d) Z d*d+ Z!d,d- Z"e
jj#d.d/ Z$d0d1 Z%d2d3 Z&d4d5 Z'dS )6    )statsN)assert_almost_equalassert_assert_array_almost_equalassert_array_almost_equal_nulpassert_allclose)raisesc                  C   sH  t jd d} t j| }| }|jdd}t|}t ddd}|	|}tj
j|||d}|d |d	  }tt || d
 | dk  ||t j}	|t j |}
t|	ddd t|
ddd t||t j|	dd t|t j ||
dd t|||d
  | d
d t|||d
 ||  | d
d d S )N      )ddof     locscaler      {Gz?      ?decimal   )nprandomseedrandnmeanstdr   gaussian_kdelinspaceevaluatenormpdfr   sumintegrate_box_1dinfr   integrate_boxintegrate_kdeintegrate_gaussian)n_basesamplexnxnmeanxnstdgkdexskdepdfnormpdf	intervallprob1prob2 r5   g/var/www/html/SPIRAL.web.tool/spiral_venv/lib/python3.10/site-packages/scipy/stats/tests/test_kdeoth.pytest_kde_1d	   s.   



r7   c                  C   sn  t jd d} t j| }t j| }t j||d}t t j|| d |d}tj||d}t 	ddd}|
|}tjj|||d}|d	 |d
  }	tt || d |	 dk  ||t j}
|t j |}t|
dd	d t|dd	d t||t j|
dd t|t j ||dd t|||d  |	 dd t|||d ||  |	 dd d S )Nr	   r
   weightsr   r   r   r   r   r   r   r   r   r   r   )r   r   r   r   randaveragesqrtr   r   r    r!   r"   r#   r   r$   r%   r&   r   r'   r(   r)   )r*   r+   wnr,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r5   r6   test_kde_1d_weighted(   s0   


r>   c                  C   s  t jd d} t ddg}t ddgddgg}t jj||| dj}t|}t jdd	d
dd	d
f \}}t 	|
 |
 g}||}|dd}tjjt ||g||d}	|
 d |
 d  }
tt ||	 d |
d  dk  d}d}|||d g||g}|||g||d g}t|ddd t|ddd t|||d  |
d  dd t|||||	  |
d  dd d S )Nr	   r
         ?      @       @      @sizer   r                @@r   covr   r   r   r   }Ô%I}Ô%ITr   r   )r   r   r   arraymultivariate_normalTr   r   mgridvstackravelr!   reshaper#   dstackr   r$   r'   r   r(   r)   )r*   r   
covariancer+   r.   xygrid_coordsr0   r1   r2   smalllarger3   r4   r5   r5   r6   test_kde_2dH   s2   

"

rX   c                  C   s  t jd d} t ddg}t ddgddgg}t jj||| dj}t j| }tj||d}t j	d	d
dd	d
df \}}t 
| | g}||}	|	dd}	tjjt ||g||d}
| d | d  }tt |	|
 d |d  dk  d}d}|||d g||g}|||g||d g}t|ddd t|ddd t|||	d  |d  dd t||||	|
  |d  dd d S )Nr	   r
   r?   r@   rA   rB   rC   r8   r   r   rE   rF   r   r   r   r   rH   rI   r   r   )r   r   r   rJ   rK   rL   r:   r   r   rM   rN   rO   r!   rP   r#   rQ   r   r$   r'   r   r(   r)   )r*   r   rR   r+   r=   r.   rS   rT   rU   r0   r1   r2   rV   rW   r3   r4   r5   r5   r6   test_kde_2d_weightedo   s4   
"

rY   c            
      C      dd } t jd d}t j|}t|}tj|| d}tj||jd}t ddd}||}||}t	|| ||}	t	||	 t
ttj|d	d d S )
Nc                 S      t | jd| jd  S z*Same as default, just check that it works.g         )r   powerndkde_objr5   r5   r6   scotts_factor      z0test_kde_bandwidth_method.<locals>.scotts_factorr	   2   	bw_methodr   r   3   wrongstringr   r   r   r   r   r   factorr    r!   r   assert_raises
ValueError
rc   r*   r+   r.   gkde2gkde3r/   r0   kdepdf2kdepdf3r5   r5   r6   test_kde_bandwidth_method      





rs   c            
      C   rZ   )
Nc                 S   r[   r\   )r   r^   neffr`   ra   r5   r5   r6   rc      rd   z9test_kde_bandwidth_method_weighted.<locals>.scotts_factorr	   re   rf   r   r   rh   ri   rj   rn   r5   r5   r6   "test_kde_bandwidth_method_weighted   rt   rv   c                   @      e Zd Zdd ZdS )_kde_subclass1c                 C   s0   t || _| jj\| _| _| j| _|   d S N)	r   
atleast_2ddatasetshaper`   r_   rc   covariance_factor_compute_covarianceselfr{   r5   r5   r6   __init__   s   z_kde_subclass1.__init__N)__name__
__module____qualname__r   r5   r5   r5   r6   rx          rx   c                       s   e Zd Z fddZ  ZS )_kde_subclass2c                    s   | j | _t | d S ry   )rc   r}   superr   r   	__class__r5   r6   r      s   z_kde_subclass2.__init__)r   r   r   r   __classcell__r5   r5   r   r6   r      s    r   c                   @   s   e Zd Zdd Zdd ZdS )_kde_subclass3c                 C   s   || _ tj| | d S ry   )rR   r   r   r   )r   r{   rR   r5   r5   r6   r      s   z_kde_subclass3.__init__c                 C   s4   t j| j| _t t jdt j | j | _d S )Nr   )	r   linalginvrR   inv_covr<   detpi_norm_factorr   r5   r5   r6   r~      s   $z"_kde_subclass3._compute_covarianceN)r   r   r   r   r~   r5   r5   r5   r6   r      s    r   c                   @   rw   )_kde_subclass4c                 C   s   d|    S )Nr   )silverman_factorr   r5   r5   r6   r}      s   z _kde_subclass4.covariance_factorN)r   r   r   r}   r5   r5   r5   r6   r      r   r   c                     s   t jg dtd} t jdddd}t|   |}t| }||}t||dd t| }||}t||dd t	|  j
}||}t||dd t| }	|	| }
g d}t||
d	d
  } fdd|_|  ||}t||dd d S )Nr   r   r]      dtype
   re   numnulp)gn,?gǻe??gW[3?ga )?gKd8;?   r   c                      s    j S ry   )rk   r5   kder5   r6   <lambda>  s    z/test_gaussian_kde_subclassing.<locals>.<lambda>)r   rJ   floatr    r   r   rx   r   r   r   rR   r   r   r}   r~   )x1r/   yskde1y1kde2y2kde3y3kde4y4
y_expectedkde5y5r5   r   r6   test_gaussian_kde_subclassing   s,   
r   c                  C   sf   t jg dtd} t jdddd}g d}t| }|jdd	 |jd
d	 ||}t||dd d S )Nr   r   r   r   r   r   )g>L\9?gp4=?gH꟫?g8(H	MT?gĲCR?r   rf   scottr   r   )r   rJ   r   r    r   r   set_bandwidthr   )r   r/   r   r   r   r5   r5   r6   $test_gaussian_kde_covariance_caching  s   
r   c                  C   sl   t jg dtd} t jdddd}t| }|j|_|  ||}tj| dd}||}t	||dd	 d
S )zUgly, but people may rely on this.  See scipy pull request 123,
    specifically the linked ML thread "Width of the Gaussian in stats.kde".
    If it is necessary to break this later on, that is to be discussed on ML.
    r   r   r   r   re   r   	silvermanrf   r   N)
r   rJ   r   r    r   r   r   r}   r~   r   )r   r/   r   r   r   r   r5   r5   r6   test_gaussian_kde_monkeypatch"  s   
r   c                  C   s2   t d} t| }g d}t|| |dd dS )zRegression test for #1181.r   )B\A?筱ES?g
f?r   r   r   r   N)r   aranger   r   r   )r   r   r   r5   r5   r6   test_kde_integer_input7  s   

r   )float32float64float96float128int32int64bw_typer   r   weights_typedataset_type
point_typec           
      C   s   t t| d } t t|d }t t|d }|dv r|}nt t|d }|r%|dnd }tdd | |||fD r8t  tjd|d}tjd|d}tjj|||d}tjd| d}||}	|	j	t
||t||jkskJ d S )N)r   r      c                 s   s    | ]}|d u V  qd S ry   r5   ).0dtr5   r5   r6   	<genexpr>Q  s    z(test_kde_output_dtype.<locals>.<genexpr>r   r   )rg   r9   )getattrr   anypytestskipr   r   r   r   r   result_typer   rk   )
r   r   r   r   bwr9   r{   kpointsresultr5   r5   r6   test_kde_output_dtypeA  s"   r   c                  C   s   t jd d} t j| }t|}t ddd}||}||}t	||dd t 
|}||}t	||dd t|}t 
||}||}t	||dd d S )Nr   re         r   )r   r   r   r   r   r   r    r!   r#   r   loglogpdf)r*   r+   r.   r/   r#   pdf2r   logpdf2r5   r5   r6   test_pdf_logpdf^  s   






r   c            	      C   s   t jd d} t j| }t j| }tj||d}t ddd}||}|	|}t
||dd t |}||}t
||dd tj|t jt|d}t ||}||}t
||dd d S )Nr   re   r8   r   r   r   r   )r   r   r   r   r:   r   r   r    r!   r#   r   r   r   len)	r*   r+   r=   r.   r/   r#   r   r   r   r5   r5   r6   test_pdf_logpdf_weightedv  s    




r   c                     s   t jd d} d t  fddtd| D }t|}|t d| }t j	
t |d d t j	
t |d d d S )Nr   i	  i  c                    s   g | ]
}t j | qS r5   )r   r   r   )r   r_   	n_samplesr5   r6   
<listcomp>  s    z(test_logpdf_overflow.<locals>.<listcomp>r   F)r   r   r   rJ   ranger   r   r   r   testingassert_equalisneginfisnan)n_dimensionsr+   r.   r   r5   r   r6   test_logpdf_overflow  s   

r   c                  C   s`   t jd t jjdd} t jjg d| jd}| }tjt 	| |d t
||ddd d S )N90  d   rC   )r?   g      $@r   r8   +=atolrtol)r   r   r   	lognormalchoicerD   copyr   r   log10r   )valsr9   orig_weightsr5   r5   r6   test_weights_intact  s   r   c                  C   sf   t jd g d} g d}tj| |d}tj| t |d}g d}t||||ddd d S )Nr   )g?g      +@g      5@g     R@g     X@)r   r   r]         r8   )g333333?   X   r   r   )r   r   r   r   r   r   r   r!   )valuesr9   pdf_ipdf_fr+   r5   r5   r6   test_weights_integer  s   

r   c                  C   s   dd } t jd d}t j|}t j|}t|}| | tj||d}| | t ddg}t ddgdd	gg}t jj|||d
j	}t|}	| |	 tj||d}
| |
 d S )Nc                 S   s   d}|  |}|  |}ttt||dd d}| j ||d}| j ||d}t||dd tjjdd}| j ||d}tjjdd}| j ||d}t||dd ttjdrdtjd}| j ||d d S d S )	N   gvIh%<=)r   i?  )r      default_rngi  )	resamplerl   AssertionErrorr   r   r   RandomStatehasattrr   )
gkde_trailn_samplesamp1samp2r   rstate1rstate2rngr5   r5   r6   test_seed_sub  s&   


z test_seed.<locals>.test_seed_subr	   r
   r8   r?   r@   rA   rB   rC   )
r   r   r   r:   r   r   r   rJ   rK   rL   )r  r*   r=   xn_1dgkde_1dgkde_1d_weightedr   rR   xn_2dgkde_2dgkde_2d_weightedr5   r5   r6   	test_seed  s    

r  )(scipyr   numpyr   numpy.testingr   r   r   r   r   r   r   rl   r7   r>   markslowrX   rY   rs   rv   r   rx   r   r   r   r   r   r   r   _ftypesparametrizer   r   r   xslowr   r   r   r  r5   r5   r5   r6   <module>   sD     
&
'
&
