B
    &]\.              	   @   s   d dl mZmZmZ d dlZd dlm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dgZG dd	 d	eZd
d Zdd ZdddZG dd deZdS )    )divisionprint_functionabsolute_importN)LooseVersion)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   7lib/python3.7/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   sJ   t | tkr"tjjd| jdS tjjt| j	t|k d| j
|dS )Nz{} is not installed)reasonz{} version >= {} required)typer
   pytestZmarkskipformatr   Zskipifr   __version__r   )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  | |}W d Q R X |S )Nraise)all)scZerrstate)akwZres)funcr   r   wrapper+   s    z$with_special_errors.<locals>.wrapper)	functoolswraps)r    r!   r   )r    r   r   &   s    TFc             C   s   t |drt|}t|}|jdkr6|d d d f }|jd }t |drX|}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    ZresultsZpointsr(   r)   r*   r+   r-   dtyper,   r.   r/   Znparamsdatar&   r'   Zfdatar   r   r   r   8   s(    




c               @   s4   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 as
        equal. Sets ignore_inf_sign to be True.

    NFTc             C   s   || _ || _|
| _t|ds"|f}t|| _|d k	r`t|dsD|f}t|| _|d k	rxtdn|d k	rpd | _ntd|| _|| _	|| _
t|ds|f}|| _|	| _|| _|| _|| _|| _| jsd| _d S )N__len__z5Only result_func or result_columns should be providedz7Either result_func or result_columns should be providedT)r    r9   datanamer0   tupleparam_columnsr&   
ValueErrorr'   r(   r)   r*   r+   r,   r-   r.   r/   )r   r    r9   r=   r&   r'   r(   r)   r*   r+   r;   r,   r-   r.   r/   r   r   r   r      s8    





zFuncData.__init__c             C   s\   t |t jst t}t |}| j| j }}|d krBd|j }|d krTd|j	 }||fS )N   )
r2   
issubdtypeZinexactr8   floatZfinfor(   r)   ZepsZtiny)r   r8   infor(   r)   r   r   r   get_tolerances   s    



zFuncData.get_tolerancesc       )   
      s  j rtjj d  dkr"j |dkr2 j}n
 | |\}}jrt	 j
d ftj}x:tjjD ](\}|rv|t| ddf M }qvW  |  g xtjD ]\}trtj ddf t q|r*|t|k r* ddf ||  q ddf  qW dfdd	}	|	j}
jdk	rt fddjD }n6d}jrt|
dkrt|
d }|	j|d	}tt|
t|k xtt|
|D ]\}\}}t|jtjsjr2t |}t |}t |}t |}n(t!|}t!|}t"|}t"|}t|}t|}tj#d
d}zZt$|}d|t%| < t$|| }d|t%| < |t$| }d|t%| < W dtj#f | X ||||  k}||k}||k}||k}||@ |@ |@  }|j&}jrP|| M }|| M }|||B ' 8 }j(sjst |} t |}!| |@ ||!@ B }"||" M }||"' 8 }t)|rdg}#|#d|*   |#d|*   |#dt'|||f  xzt+|d D ]htfdd}$d,t-|$}%d,t-|$|
}&d,t-|$|}'|$|}(|#d|%|&|'|(f  qW tdd,|# qW dS )z,Check the special function against the data.)r   Nr   c          	      s   j r|  }npg }x`ttd D ]L |d k	rH|  rH|tj q&|| t fddttD   q&W t|}t|ts|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>)	r-   r6   lenappendr2   nanr<   r3   
isinstance)r    	skip_maskgot)rG   r   )rF   r   eval_func_at_params   s    
.

z+FuncData.check.<locals>.eval_func_at_paramsc                s   g | ]} d d |f qS )Nr   )rD   Zicol)r9   r   r   rH      s    z"FuncData.check.<locals>.<listcomp>r%   )rM   ignore)r    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   )Z	precision)r2   Zarray2string)x)rF   r   r   <lambda>-  s    z FuncData.check.<locals>.<lambda>z  z%s => %s != %s  (rdiff %s)F
)N).r+   r   Zxfailr9   r8   ZastyperC   r*   r2   Zonesr5   Zbool_zipr=   r1   	enumerateiscomplexobjintimagrJ   complexrI   r    r&   r<   r,   Zisnanr'   r   r@   Zcomplexfloatingr.   ZisinfZisposinfZisneginfZseterrZabsoluteZisfinitesizesumr/   anymaxZnonzerojoinmap))r   r9   r8   Zdtypesr(   r)   Z
param_maskfilteridxrO   rN   ZwantedrM   Z
output_numrS   yZpinf_xZpinf_yZminf_xZminf_yZnan_xZnan_yZolderrZabs_yZdiffZrdiffZtol_maskZ	pinf_maskZ	minf_maskZnan_maskZbad_jZpoint_countZinf_xZinf_yZboth_nonfinitemsgZfmtr   bcdr   )r9   rF   rG   r   r   r7      s    
 

"
 














zFuncData.checkc             C   sX   t ttt j| jrd}nd}| jrDd| jj|t	j
| jf S d| jj|f S dS )z%Pretty-printing, esp. for Nose outputz
 (complex)rQ   z<Data for %s%s: %s>z<Data for %s%s>N)r2   r^   r1   ra   rX   r=   r;   r    r   ospathbasename)r   Z
is_complexr   r   r   __repr__5  s    
zFuncData.__repr__)NNNNNNNFTFT)NNN)r   r   r   __doc__r   rC   r7   rl   r   r   r   r   r	   Y   s   '   

 )	NNNNTNFFT)Z
__future__r   r   r   ri   Zdistutils.versionr   r"   Znumpyr2   Znumpy.testingr   r   Zscipy.specialZspecialr   __all__objectr
   r   r   r   r	   r   r   r   r   <module>   s    
   
