o
    &?e.                     @   s   d dl Z d dlZd dlZd dlmZ d dlZd dlmZ d dl	Z	d dl
mZ g dZG dd dZdd Zd	d
 Z				dddZG dd dZdS )    N)_pep440)assert_)with_special_errorsassert_func_equalFuncDatac                   @   s   e Zd Zdd ZdS )MissingModulec                 C   s
   || _ d S N)name)selfr	    r   Y/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/scipy/special/_testutils.py__init__   s   
zMissingModule.__init__N)__name__
__module____qualname__r   r   r   r   r   r      s    r   c                 C   sR   t | tkrtjj| j ddS tjjt| j	t
|k | j d| ddS )Nz is not installedreasonz version >= z	 required)typer   pytestmarkskipr	   Zskipifr   parse__version__Versionr   )moduleZmin_verr   r   r   check_version   s
   r   c                    s   t   fdd}|S )zc
    Enable special function errors (such as underflow, overflow,
    loss of precision, etc.)
    c                     s@   t jdd  | i |}W d    |S 1 sw   Y  |S )Nraiseall)scerrstate)akwresfuncr   r   wrapper(   s   
z$with_special_errors.<locals>.wrapper)	functoolswraps)r%   r&   r   r$   r   r   #   s   r   TFc                 C   s   t |dr	t|}t|}|jdkr|d d d f }|jd }t |dr,|}d }|}ntj||f }tt||jd }d }t| |tt||||||||	||
|d}|	  d S )Nnext   r   )
result_columnsresult_funcrtolatolparam_filterknownfailurenan_ok
vectorizedignore_inf_signdistinguish_nan_and_inf)
hasattrlistnpasarrayndimshapeZc_ranger   check)r%   resultsZpointsr-   r.   r/   r0   r2   dtyper1   r3   r4   nparamsdatar+   r,   fdatar   r   r   r   5   s*   




r   c                   @   s<   e Zd ZdZ				dddZdd Zdd	d
Zdd ZdS )r   a  
    Data set for checking a special function.

    Parameters
    ----------
    func : function
        Function to test
    data : numpy array
        columnar data to use for testing
    param_columns : int or tuple of ints
        Columns indices in which the parameters to `func` lie.
        Can be imaginary integers to indicate that the parameter
        should be cast to complex.
    result_columns : int or tuple of ints, optional
        Column indices for expected results from `func`.
    result_func : callable, optional
        Function to call to obtain results.
    rtol : float, optional
        Required relative tolerance. Default is 5*eps.
    atol : float, optional
        Required absolute tolerance. Default is 5*tiny.
    param_filter : function, or tuple of functions/Nones, optional
        Filter functions to exclude some parameter ranges.
        If omitted, no filtering is done.
    knownfailure : str, optional
        Known failure error message to raise when the test is run.
        If omitted, no exception is raised.
    nan_ok : bool, optional
        If nan is always an accepted result.
    vectorized : bool, optional
        Whether all functions passed in are vectorized.
    ignore_inf_sign : bool, optional
        Whether to ignore signs of infinities.
        (Doesn't matter for complex-valued functions.)
    distinguish_nan_and_inf : bool, optional
        If True, treat numbers which contain nans or infs as
        equal. Sets ignore_inf_sign to be True.

    NFTc                 C   s   || _ || _|
| _t|ds|f}t|| _|d ur0t|ds"|f}t|| _|d ur/tdn|d ur8d | _ntd|| _|| _	|| _
t|dsM|f}|| _|	| _|| _|| _|| _|| _| jsgd| _d S d S )N__len__z5Only result_func or result_columns should be providedz7Either result_func or result_columns should be providedT)r%   r@   datanamer5   tupleparam_columnsr+   
ValueErrorr,   r-   r.   r/   r0   r1   r2   r3   r4   )r
   r%   r@   rE   r+   r,   r-   r.   r/   r0   rC   r1   r2   r3   r4   r   r   r   r      s<   





zFuncData.__init__c                 C   s\   t |t jst t}t |}| j| j}}|d u r!d|j }|d u r*d|j	 }||fS )N   )
r7   
issubdtypeZinexactr>   floatZfinfor-   r.   ZepsZtiny)r
   r>   infor-   r.   r   r   r   get_tolerances   s   



zFuncData.get_tolerancesc           )         s  t dt}jrtjjd  du rj |du r j}n | 	|\}}j
rYt jd ftj}tjj
D ]\}|rT|t| ddf M }q@ |  g tjD ]A\}	tr}tj ddf t q`|r|	t|k r ddf ||	  q` ddf  q`dfdd	}
|
j}jdurt fddjD }nd}jrt|d	krt|d }|
j|d
}tt|t|k tt||D ]X\}\}}t |jtj!sj"rt#|}t#|}t#|}t#|}nt$|}t$|}t%|}t%|}t|}t|}tj&dd3 t'|}d|t(| < t'|| }d|t(| < |t'| }d|t(| < W d   n	1 snw   Y  ||||  k}||k}||k}||k}||@ |@ |@  }|j)}jr|| M }|| M }|||B * 8 }j+sΈjst#|} t#|}!| |@ ||!@ B }"||" M }||"* 8 }t,|rDdg}#|#d|| -   |#d|| -   |#dt*|||f  t.|d D ]:tfdd}$d/t0|$}%d/t0|$|}&d/t0|$|}'|$|}(|#|% d|& d|' d|( d qtdd/|# qdS )z,Check the special function against the data.Zerrisinstancer   Nr   c              	      s   j r|  }n6g }ttd D ]& |d ur#|  r#|tj q|| t fddttD   qt|}t|tsF|f}|S )Nr   c                    s   g | ]}|   qS r   r   ).0i)jparamsr   r   
<listcomp>   s    z?FuncData.check.<locals>.eval_func_at_params.<locals>.<listcomp>)	r2   r;   lenappendr7   nanrD   r8   
isinstance)r%   	skip_maskgot)rO   r
   rN   r   eval_func_at_params   s   
,

z+FuncData.check.<locals>.eval_func_at_paramsc                    s   g | ]
} d d |f qS r   r   )rL   Zicol)r@   r   r   rP      s    z"FuncData.check.<locals>.<listcomp>r*   )rU   ignorer    zMax |adiff|: %gzMax |rdiff|: %gzCBad results (%d out of %d) for the following points (in output %d):c                    s   dt j|   dd S )Nz%30s   )	precision)r7   Zarray2string)xrW   r   r   fmt*  s   zFuncData.check.<locals>.fmtz  z => z != z	  (rdiff )F
r   )1operatormethodcallerAssertionErrorr0   r   Zxfailr@   r>   ZastyperK   r/   r7   Zonesr:   Zbool_ziprE   r6   	enumerateiscomplexobjintimagrR   complexrQ   r%   r+   rD   r1   isnanr,   r   rH   Zcomplexfloatingr3   isinfZisposinfZisneginfr    absoluteisfinitesizesumr4   anymaxZnonzerojoinmap))r
   r@   r>   ZdtypesZ__tracebackhide__r-   r.   Z
param_maskfilteridxrX   rV   wantedrU   Z
output_numr]   yZpinf_xZpinf_yZminf_xZminf_yZnan_xZnan_yZabs_ydiffZrdiffZtol_maskZ	pinf_maskZ	minf_maskZnan_maskZbad_jZpoint_countZinf_xZinf_yZboth_nonfinitemsgr^   r!   bcdr   )r@   rN   rO   r
   r   r<      s   


"











	




&zFuncData.checkc                 C   sX   t ttt j| jrd}nd}| jr"d| jj	|t
j| jS d| jj	 | dS )z%Pretty-printing, esp. for Nose outputz
 (complex)rZ   z<Data for {}{}: {}>z
<Data for >)r7   rp   r6   rs   rf   rE   rC   formatr%   r   ospathbasename)r
   Z
is_complexr   r   r   __repr__3  s   zFuncData.__repr__)NNNNNNNFTFT)NNN)r   r   r   __doc__r   rK   r<   r   r   r   r   r   r   V   s    (
"
 r   )	NNNNTNFFT)r   r'   ra   Z
scipy._libr   numpyr7   Znumpy.testingr   r   Zscipy.specialZspecialr   __all__r   r   r   r   r   r   r   r   r   <module>   s$    
!