U
    M»{jˆƒ  ã                   @   s‚   d dl Zd dlmZmZmZ d dlmZmZm	Z	m
Z
mZmZmZmZmZmZ d dlZG dd„ dƒZG dd„ dƒZG dd	„ d	ƒZdS )
é    N)Ú	histogramÚhistogramddÚhistogram_bin_edges)
Úassert_Úassert_equalÚassert_array_equalÚassert_almost_equalÚassert_array_almost_equalÚassert_raisesÚassert_allcloseÚassert_array_max_ulpÚassert_raises_regexÚsuppress_warningsc                   @   s  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d„ Zdd„ Zdd„ Zdd„ Zdd „ Zd!d"„ Zd#d$„ Zd%d&„ Zd'd(„ Zd)d*„ Zd+d,„ Zd-d.„ Zd/d0„ Zd1d2„ Zd3d4„ Zd5d6„ Zd7d8„ Zd9d:„ Zd;d<„ Z d=d>„ Z!d?d@„ Z"dAS )BÚTestHistogramc                 C   s   d S ©N© ©Úselfr   r   ú^/var/www/html/bwave/python/venv/lib/python3.8/site-packages/numpy/lib/tests/test_histograms.pyÚsetup   s    zTestHistogram.setupc                 C   s   d S r   r   r   r   r   r   Úteardown   s    zTestHistogram.teardownc                 C   sT   d}t j |¡}t|ƒ\}}tt j|dd�|ƒ tt  ddd¡ƒ\}}t|dƒ d S )Néd   r   ©Zaxisé
   )ÚnpÚrandomÚrandr   r   ÚsumÚlinspacer   )r   ÚnÚvÚaÚbr   r   r   Útest_simple   s    zTestHistogram.test_simplec                 C   s†   t ddddgddgƒ\}}t|dgƒ t|ddgƒ ttt ddgdd� t ddgdd�\}}t|t dg¡ƒ t|t ddg¡ƒ d S )	Né   é   é   é   r   ©Úbinsç      ð?ç       @)r   r   r
   Ú
ValueErrorr   r   Úarrayr   )r   ÚhistÚedgesÚhÚer   r   r   Útest_one_bin   s    zTestHistogram.test_one_binc           	   	   C   sî   t ƒ }|�` | tjd¡}d}tj |¡}t|dd�\}}t |t |¡ ¡}t	|dƒ t
t|ƒdƒ W 5 Q R X t ƒ }|�j | tjd¡}t d¡}dddd	dg}t||dd�\}}t |t |¡ ¡}t	|dƒ t
t|ƒdƒ W 5 Q R X d S )
Nz
.*normed.*r   T©Únormedr$   r   r   é   é	   )r   Úrecordr   ZVisibleDeprecationWarningr   r   r   r   Údiffr   r   ÚlenÚarange)	r   ÚsupÚrecr   r    r!   r"   Úarear)   r   r   r   Útest_normed)   s$    


zTestHistogram.test_normedc           	      C   s$  d}t j |¡}t|dd�\}}t  |t  |¡ ¡}t|dƒ t  d¡}dddddg}t||dd�\}}t|d	ƒ t	t  |t  |¡ ¡dƒ t||d
d�\}}t|ddddgƒ t  d¡}ddddt j
g}t||dd�\}}t|d	d	d	dgƒ t jddddgddt j
gdd�\}}t	|ddgƒ d S )Nr   T©Údensityr$   r   r   r&   é   çš™™™™™¹?Fr%   r'   ç        ç      à?ç      ø?ç      Ð?)r   r   r   r   r   r8   r   r:   r   r   Úinf)	r   r   r    r!   r"   r=   r)   ÚcountsZdmyr   r   r   Útest_densityA   s,    




 
 ÿ
zTestHistogram.test_densityc                 C   sð   t  d¡d }t|ddgd�\}}t| ¡ dƒ t|ddgd�\}}t| ¡ dƒ t|ddgdd�\}}t|t  |¡  ¡ dd	d
� t  d¡d }t|ddg|dd�\}}t|t  |¡  ¡ dƒ t|dddg|d�\}}t||dd… ƒ d S )Nr   rD   r   r6   ©Úranger$   T©rK   r@   é   ©Údecimal©rK   Úweightsr@   é   ©r)   rK   rQ   éÿÿÿÿ)r   r:   r   r   r   r   r8   )r   r!   r0   r"   Úwr   r   r   Útest_outliersa   s    zTestHistogram.test_outliersc              	   C   sN   t  d¡d }t  d¡d }ttdƒ� t|ddg|dd�\}}W 5 Q R X d S )	Nr   rD   é   zsame shape asr$   r6   TrP   )r   r:   r   r,   r   )r   r!   rU   r0   r"   r   r   r   Útest_arr_weights_mismatchy   s    z'TestHistogram.test_arr_weights_mismatchc                 C   s®   t  d¡d }t|ƒ\}}tt  |jt j¡ƒ t|dd�\}}tt  |jt j¡ƒ t|t  dt	¡d�\}}tt  |jt j¡ƒ t|t  dt
¡d�\}}tt  |jt j¡ƒ d S )Nr   rD   Tr?   ©rQ   )r   r:   r   r   Z
issubdtypeÚdtypeÚintegerZfloatingÚonesÚintÚfloat)r   r!   r0   r"   r   r   r   Ú	test_type€   s    zTestHistogram.test_typec                 C   sT   t jdddgt jd�}t jdddgt jd�}t j||dd	�\}}}t| ¡ d
ƒ d S )Ng2V›ÿEq@g“áx>fQÀg-³ÅVT5@©rZ   g!çý°�³@gö·àS�±@g§’ ^z·@r   r(   ç      @)r   r-   Zfloat32Zhistogram2dr   r   )r   ÚxÚyZcounts_histZxedgesZyedgesr   r   r   Útest_f32_rounding�   s    zTestHistogram.test_f32_roundingc              	   C   s|   t jdddgt jd�}t  |¡\}}tƒ �H}| td¡}t  dddg¡\}}tt|ƒdƒ t	||ƒ t	||ƒ W 5 Q R X d S )Nr$   r   r`   zConverting input from .*TF)
r   r-   Zuint8r   r   r7   ÚRuntimeWarningr   r9   r   )r   r!   Zint_histZ	int_edgesr;   r<   r.   r/   r   r   r   Útest_bool_conversion–   s    
z"TestHistogram.test_bool_conversionc                 C   s‚  t j d¡}t  d¡d }t|ƒ\}}t|dd�\}}t||d�\}}t||dd�\}	}
t|d |ƒ t||	ƒ t  ddd¡}t  t  d¡t  d¡f¡}t|t  	d	¡|d
�\}}t||ƒ tddddgdddddgd
�\}}t
|ddddgƒ tddddgdddddgdd�\}}t|t  ddddg¡d d d ƒ tt  	d¡dddddgdddddddddg	dd�\}}t|ddddgƒ d S )Nr   r5   Tr?   rY   ©rQ   r@   r   r   rW   ©r)   rQ   r$   r%   r'   r&   )r)   rQ   r@   g      $@ra   r6   rA   gš™™™™™É?rB   g333333³?)r   r   r   r\   r   r	   r   ÚconcatenateÚzerosr:   r   r-   r   )r   r    rU   r!   r"   ÚnaÚnbÚwaÚwbZnwaZnwbr   r   r   Útest_weights§   s8    

"
  
 ÿ
$  þ
zTestHistogram.test_weightsc                 C   sH  t  dddg¡}t  dddg¡dt  dddg¡  }t|ddd	g|d
�\}}t|t  ddg¡dt  dd	g¡  ƒ t|ddd	g|d�\}}t|t  ddg¡dt  dd	g¡  ƒ ddlm} t  dddg¡}t  |dƒ|dƒ|d	ƒg¡}t|ddd	g|d
�\}}t||dƒ|dƒgƒ t|ddd	g|d�\}}t||dƒ|dƒgƒ d S )NçÍÌÌÌÌÌô?ç      @çffffff@r$   rT   r%   y              ð?r   r&   rh   rS   )ÚDecimalr5   )r   r-   r   r	   rO   rs   )r   ÚvaluesrQ   rm   rn   rs   r   r   r   Útest_exotic_weightsÄ   s    $&&z!TestHistogram.test_exotic_weightsc                 C   s8   t  dddg¡}t j|ddgdd� t|dddgƒ d S )Nrp   rq   rr   éöÿÿÿr   r   )rK   r)   )r   r-   r   r	   )r   rt   r   r   r   Útest_no_side_effectsâ   s    z"TestHistogram.test_no_side_effectsc                 C   s>   t g ddgd�\}}t|t dg¡ƒ t|t ddg¡ƒ d S )Nr   r$   r(   ©r   r   r   r-   ©r   r!   r"   r   r   r   Ú
test_emptyé   s    zTestHistogram.test_emptyc                 C   s,   t jdddd�}t|dƒ ttt|dƒ d S )NrC   r*   r   ©Únumr5   g333333@)r   r   r   r
   Ú	TypeError©r   Úvalsr   r   r   Útest_error_binnum_typeî   s    
z$TestHistogram.test_error_binnum_typec                 C   sP   t jdddd�}t|ddgd� ttt|t jdgd� ttt|dt jgd� d S )NrC   r*   r   r{   rF   ç      è?rJ   )r   r   r   r
   r,   ÚnanrG   r~   r   r   r   Útest_finite_rangeô   s    zTestHistogram.test_finite_rangec              	   C   s<   t jdddd�}ttdƒ� t j|ddgd� W 5 Q R X d S )	NrC   r*   r   r{   zmax must be larger thanrB   g{®Gáz„?rJ   )r   r   r   r,   r   r~   r   r   r   Útest_invalid_rangeû   s    z TestHistogram.test_invalid_rangec           
   	   C   sˆ   t  dddddddg¡}t j|dd	d
�\}}|dk}|d d… | }|dd … | }t|||ƒD ]"\}}}	t||kƒ t||	k ƒ q`d S )NiQ  i”  iã  i&  iï  i  iÜ  ih   )r%   iè  ©r)   rK   r   rT   r$   )r   r-   r   Úzipr   )
r   Úarrr.   r/   ÚmaskZ
left_edgesZright_edgesrb   ÚleftÚrightr   r   r   Útest_bin_edge_cases  s    z!TestHistogram.test_bin_edge_casesc                 C   sB   t  dddddddddg	¡}t j|ddd	�\}}t|d
 dƒ d S )NrC   r*   r+   ra   ç      @ç      @é   ©ç      à¿r5   r…   rT   r$   )r   r-   r   r   )r   r‡   r.   r/   r   r   r   Útest_last_bin_inclusive_range  s    z+TestHistogram.test_last_bin_inclusive_rangec              	   C   sN   t jdddd�}t  ddgddgg¡}ttdƒ� t j||d	� W 5 Q R X d S )
NrC   r*   r   r{   r   rD   g333333ã?z
must be 1dr(   )r   r   r-   r   r,   r   )r   r   r)   r   r   r   Útest_bin_array_dims  s    z!TestHistogram.test_bin_array_dimsc              	   C   sJ   t  dg¡}t jdddgdd�}ttƒ� t j||d�\}}W 5 Q R X d S )Nr%   r$   r&   Zuint64r`   r(   )r   r-   r
   r,   r   )r   r‡   r)   r.   r/   r   r   r   Ú test_unsigned_monotonicity_check  s    
z.TestHistogram.test_unsigned_monotonicity_checkc                 C   s†   t ttdd„ tdƒD ƒtj g ƒ t ttdd„ tdƒD ƒtjg ƒ t dd„ tdƒD ƒdg ¡ t dd„ tdƒD ƒdg ¡ d S )	Nc                 S   s   g | ]}t  d ¡‘qS ©gš™™™™™Ù?©r   r-   ©Ú.0Úir   r   r   Ú
<listcomp>#  s     z9TestHistogram.test_object_array_of_0d.<locals>.<listcomp>r   c                 S   s   g | ]}t  d ¡‘qS r”   r•   r–   r   r   r   r™   %  s     c                 S   s   g | ]}t  d ¡‘qS ©rD   r•   r–   r   r   r   r™   (  s     g	     à?c                 S   s   g | ]}t  d ¡‘qS rš   r•   r–   r   r   r   r™   )  s     rD   )r
   r,   r   rK   r   rG   r   r   r   r   Útest_object_array_of_0d   s     ÿ ÿz%TestHistogram.test_object_array_of_0dc              	   C   sì   t  ddt jg¡}t  t jt jg¡}tƒ }| t¡ |�ª ttt|dd� ttt|dd� t|ddd�\}}t	| 
¡ dƒ t|ddd�\}}t	| 
¡ dƒ t|ddgd�\}}t	| 
¡ dƒ t|ddgd�\}}t	| 
¡ dƒ W 5 Q R X d S )Nr   r$   Úautor(   ©r   r$   r…   r%   )r   r-   r‚   r   Úfilterre   r
   r,   r   r   r   )r   Zone_nanZall_nanr;   r0   r"   r   r   r   Útest_some_nan_values+  s    
z"TestHistogram.test_some_nan_valuesc                 C   sæ   t  dd¡}t  ddddddddd	g	¡}t  ddd
d	g¡}|| }|| }t  d¡}t||d�\}}t| |¡| |¡d�\}	}
t||d�\}}t||ƒ t|	|ƒ t||  t¡|ƒ t|
 t¡|ƒ t|j|jƒ t|
j|ƒ d S )Nz
2000-01-01ÚDr   r$   r%   r&   r5   r   é   é   ztimedelta64[D]r(   )r   Z
datetime64r-   rZ   r   Úastyper   r]   )r   ÚbeginÚoffsetsr)   ÚdatesZ	date_binsÚtdZd_countZd_edgeZt_countZt_edgeZi_countZi_edger   r   r   Útest_datetimeD  s    


zTestHistogram.test_datetimec                 C   s|   dt  |¡j d }t jd|  d d| d g|d�}t|dd�\}}t|d|  d dd| d gƒ t|ddgƒ d S )NrR   r$   r%   r'   r`   r(   r   )r   rZ   Úitemsizer-   r   r   )r   rZ   Úexponentr‡   r.   r1   r   r   r   Údo_signed_overflow_bounds]  s
    $"z'TestHistogram.do_signed_overflow_boundsc                 C   s@   |   tj¡ |   tj¡ |   tj¡ |   tj¡ |   tj¡ d S r   )r«   r   ÚbyteÚshortZintcÚint_Zlonglongr   r   r   r   Útest_signed_overflow_boundsd  s
    z)TestHistogram.test_signed_overflow_boundsc                 C   st   t  |¡j}t  dg|¡}t  d| dg|¡}| |¡d dkrDd S t j|d|d�\}}t|dgƒ t|j|ƒ d S )Nr*   r+   r   r$   r…   ©r   ZfinfoÚepsr-   r£   r   r   rZ   ©r   Úfloat_smallÚfloat_larger±   r‡   rK   ÚcountZx_locr   r   r   Údo_precision_lower_boundk  s    z&TestHistogram.do_precision_lower_boundc                 C   st   t  |¡j}t  dg|¡}t  dd| g|¡}| |¡d dkrDd S t j|d|d�\}}t|dgƒ t|j|ƒ d S )Nr*   rC   rT   r$   r…   r°   r²   r   r   r   Údo_precision_upper_bound|  s    z&TestHistogram.do_precision_upper_boundc                 C   s   |   ||¡ |  ||¡ d S r   )r¶   r·   )r   r³   r´   r   r   r   Údo_precision�  s    zTestHistogram.do_precisionc                 C   sd   |   tjtj¡ |   tjtj¡ |   tjtj¡ |   tjtj¡ |   tjtj¡ |   tjtj¡ d S r   )r¸   r   ZhalfZsingleÚdoubleZ
longdoubler   r   r   r   Útest_precision‘  s    zTestHistogram.test_precisionc                 C   s®   t ddddgddgƒ\}}tddddgddgƒ}t||ƒ t dddddddd	d
g	¡}t |ddd�\}}t|ddd�}t||ƒ t |ddd�\}}t|ddd�}t||ƒ d S )Nr$   r%   r&   r'   rC   r*   r+   ra   rŒ   r�   rŽ   r�   r…   rœ   r�   )r   r   r   r   r-   )r   r.   r1   r/   r‡   r   r   r   Útest_histogram_bin_edgesš  s    

z&TestHistogram.test_histogram_bin_edgesN)#Ú__name__Ú
__module__Ú__qualname__r   r   r#   r2   r>   rI   rV   rX   r_   rd   rf   ro   ru   rw   rz   r€   rƒ   r„   r‹   r‘   r’   r“   r›   rŸ   r¨   r«   r¯   r¶   r·   r¸   rº   r»   r   r   r   r   r      s@   
 	r   c                
   @   s„   e Zd 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ej ddddddddg¡dd„ ƒZdd„ Zd S )!ÚTestHistogramOptimBinNumsz]
    Provide test coverage when using provided estimators for optimal number of
    bins
    c                 C   sX   ddddddddg}|D ]:}t g |d	�\}}t|t d
g¡ƒ t|t d
dg¡ƒ qd S )NÚfdÚscottÚriceÚsturgesÚdoaneÚsqrtrœ   Ústoner(   r   r$   rx   )r   Úestimator_listÚ	estimatorr!   r"   r   r   r   rz   ¯  s       ÿz$TestHistogramOptimBinNums.test_emptyc                 C   sÎ   dddddddddœdddddd	dd
dœdddddddddœdœ}|  ¡ D ]~\}}t dd|d d ¡}t dd|d d ¡}t ||f¡}|  ¡ D ]2\}}t ||¡\}	}
tt|	ƒ|d ||¡d� q”qJdS )z²
        Straightforward testing with a mixture of linspace data (for
        consistency). All test values have been precomputed and the values
        shouldn't change
        r'   rR   r¢   r%   ©rÀ   rÁ   rÂ   rÃ   rÄ   rÅ   rœ   rÆ   é   r   é   é   r6   é   é#   é   éG   r¡   ©é2   iô  iˆ  rv   rT   r5   r$   r&   ú*For the {0} estimator with datasize of {1}©Úerr_msgN)Úitemsr   r   ri   r   r   r9   Úformat)r   Ú
basic_testÚtestlenÚexpectedResultsÚx1Úx2rb   rÈ   Únumbinsr!   r"   r   r   r   r#   ¸  s:       ÿ   ÿ   ÿü ÿz%TestHistogramOptimBinNums.test_simplec           	   
   C   s˜   ddddddddœddddddddœddddddddœdœ}|  ¡ D ]N\}}t |¡}|  ¡ D ]2\}}t ||¡\}}tt|ƒ|d ||¡d� q^qDdS )	z¸
        Smaller datasets have the potential to cause issues with the data
        adaptive methods, especially the FD method. All bin numbers have been
        precalculated.
        r$   )rÀ   rÁ   rÂ   rÃ   rÄ   rÅ   rÆ   r%   r&   )r$   r%   r&   rÓ   rÔ   N)rÖ   r   r:   r   r   r9   r×   )	r   Z	small_datrÙ   rÚ   ZtestdatrÈ   Zexpbinsr!   r"   r   r   r   Ú
test_smallÒ  s0      ÿ  ÿ  ÿü
 ÿz$TestHistogramOptimBinNums.test_smallc                 C   s.   ddddg}|D ]}t ttdddg|ƒ qdS )	zS
        Check a Value Error is thrown when an unknown string is passed in
        ZmadZfreemanZ
histogramsZIQRr$   r%   r&   N)r
   r,   r   )r   Z
check_listrÈ   r   r   r   Útest_incorrect_methodsæ  s    z0TestHistogramOptimBinNums.test_incorrect_methodsc              	   C   s^   t  d¡}dddddddddœ}| ¡ D ]0\}}t  ||¡\}}tt|ƒ|d |¡d� q(dS )zŒ
        Check that methods handle no variance in data
        Primarily for Scott and FD as the SD and IQR are both 0 in this case
        r   r$   rÉ   z{0} estimator, No Variance testrÔ   N)r   r\   rÖ   r   r   r9   r×   )r   Znovar_datasetZnovar_resultdictrÈ   rÝ   r!   r"   r   r   r   Útest_novarianceî  s    
   ÿÿz)TestHistogramOptimBinNums.test_novariancec                 C   s€   t  d¡}d|dd…< d|dd…< t|dƒ}t|t  ddd¡ƒ t|d	ƒ}t|t  ddg¡ƒ t|d
ƒ}t|t  ddd¡ƒ dS )zu
        Check when IQR is 0, but variance exists, we return the sturges value
        and not the fd value.
        iè  r   Nr&   r   éüÿÿÿrœ   rË   rÀ   rÃ   )r   r\   r   r   r   r-   )r   Zlim_var_dataZ
edges_autoZedges_fdZedges_sturgesr   r   r   Útest_limited_varianceü  s    



z/TestHistogramOptimBinNums.test_limited_variancec                 C   sh   t  ddd¡}t  t  ddd¡|f¡}dddd	d
œ}| ¡ D ]&\}}t  ||¡\}}tt|ƒ|ƒ q<dS )aû  
        Check the FD, Scott and Doane with outliers.

        The FD estimates a smaller binwidth since it's less affected by
        outliers. Since the range is so (artificially) large, this means more
        bins, most of which will be empty, but the data of interest usually is
        unaffected. The Scott estimator is more affected and returns fewer bins,
        despite most of the variance being in one area of the data. The Doane
        estimator lies somewhere between the other two.
        rv   r   rÒ   i’ÿÿÿéœÿÿÿr5   é   rW   rA   )rÀ   rÁ   rÄ   rÆ   N)r   r   ÚhstackrÖ   r   r   r9   )r   ZxcenterZoutlier_datasetZoutlier_resultdictrÈ   rÝ   r!   r"   r   r   r   Útest_outlier  s    z&TestHistogramOptimBinNums.test_outlierc                    sN   dd„ ‰ ‡ fdd„t dƒD ƒ}ttj|dd�d ƒ}t|d	d
ddgdd� dS )zQVerify that Scott's rule and Stone's rule converges for normally distributed datac                 S   sR   t j | ¡}|jdd|d�}tt  |d¡d ƒtt  |d¡d ƒ }}|||  S )Nr   r%   )ÚlocÚscaleÚsizerÆ   rÁ   )r   r   ZRandomStateÚnormalr9   r   )Úseedré   Úrngrb   r!   r"   r   r   r   Únbins_ratio%  s    *zBTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.nbins_ratioc                    s6   g | ].‰ ‡‡ fd d„t jdddd� ¡  t¡D ƒ‘qS )c                    s   g | ]}ˆ ˆ|ƒ‘qS r   r   )r—   ré   )rí   rë   r   r   r™   +  s     zLTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>.<listcomp>r   r   r'   )ÚstartÚstopr|   )r   Z	geomspaceÚroundr£   r]   )r—   ©rí   )rë   r   r™   +  s   ÿzATestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>r   r   r   rD   g333333Ã?g
×£p=
·?g{®Gáz´?g¸…ëQ¸ž?r%   rN   N)rK   Úabsr   Zmeanr   )r   ZllÚavgr   rñ   r   Útest_scott_vs_stone"  s    
ÿz-TestHistogramOptimBinNums.test_scott_vs_stonec              	   C   sæ   dddddddœdddddddœd	d	d
dd	ddœdœ}|  ¡ D ]¢\}}t dd|d d ¡}t dd|d d ¡}t dd|¡}t |||f¡}|  ¡ D ]F\}}	tj||dd�\}
}d |¡}|d |¡7 }tt|
ƒ|	|d� q˜q>dS )zò
        Straightforward testing with a mixture of linspace data (for
        consistency). Adding in a 3rd mixture that will then be
        completely ignored. All test values have been precomputed and
        the shouldn't change.
        rR   rM   rÏ   )rÀ   rÁ   rÂ   rÃ   rœ   rÆ   rÊ   é    r¡   éP   é!   éE   é   rÑ   rv   rT   r5   r%   r$   r   r&   rã   iÎÿÿÿ)iìÿÿÿr¡   rJ   zFor the {0} estimatorz with datasize of {0}rÔ   N)rÖ   r   r   rå   r   r×   r   r9   )r   rØ   rÙ   rÚ   rÛ   rÜ   Zx3rb   rÈ   rÝ   r!   r"   Úmsgr   r   r   Útest_simple_range2  s4    
  ÿ  ÿ  ÿû	
z+TestHistogramOptimBinNums.test_simple_ranger)   rœ   rÀ   rÄ   rÁ   rÆ   rÂ   rÃ   c                 C   sZ   t jdddgt jd�}t j||d�\}}t j| t j¡|d�\}}t||ƒ t||ƒ d S )Néþÿÿÿr   é   r`   r(   )r   r-   Zint8r   r£   Zint32r   )r   r)   r!   r.   r/   Zhist32Zedges32r   r   r   Útest_signed_integer_dataQ  s
    
z2TestHistogramOptimBinNums.test_signed_integer_datac              	   C   s:   dddddg}|D ]"}t ttdddg|dddgd	� qd
S )z=
        Check that weighted data raises a TypeError
        rÀ   rÁ   rÂ   rÃ   rœ   r$   r%   r&   rY   N)r
   r}   r   )r   rÇ   rÈ   r   r   r   Útest_simple_weighted[  s     ÿz.TestHistogramOptimBinNums.test_simple_weightedN)r¼   r½   r¾   Ú__doc__rz   r#   rÞ   rß   rà   râ   ræ   rô   rû   ÚpytestÚmarkZparametrizerþ   rÿ   r   r   r   r   r¿   ©  s"   	  ÿ
r¿   c                   @   s”   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d„ Zdd„ Zdd„ Zdd„ Zdd „ Zd!d"„ Zd#S )$ÚTestHistogramddc              
   C   st  t  dddgdddgdddgdddgdddgdddgg¡}t|dddgdd	gdd	ggd
�\}}t  dddgdddgdddggdddgdddgdddggg¡}t||ƒ dddgdddd	gdddd	gg}t||dd�\}}tt  ||d k¡ƒ t|dddgdd	gddggdd�\}}t  ddddgddddgddddggddddgddddgddddggg¡}t||d dƒ dd„ t j|d	dd�D ƒ}t|dddgdd	gddggd�\}}t  ddgddgddggddgddgddggddgddgddggddgddgddggg¡}t||ƒ t  d¡}d|t	t
dƒƒt	t
dƒƒt	t
dƒƒf< tt  d¡t  d¡t  d¡gdƒ\}}t||ƒ d S )Nr�   rD   rE   rq   )r%   r&   r&   rT   r$   r   r&   rJ   rü   r%   T©r)   r@   g      (@)r%   r&   r'   r'   rL   g      @c                 S   s   g | ]}t  |¡‘qS r   )r   Zsqueeze)r—   rc   r   r   r   r™   ~  s     z/TestHistogramdd.test_simple.<locals>.<listcomp>r   )r'   r&   r%   r…   )r5   r5   r5   r*   r5   )r   r-   r   r   r   Úallr	   Úsplitrj   ÚlistrK   r:   )r   rb   ÚHr/   ZanswerZedÚzÚZr   r   r   r#   g  sN      ÿÿ
ÿ
 þ
$ ÿ  ÿ
ý

&&zTestHistogramdd.test_simplec                 C   s<   d}t j dd¡}|D ] }t||ƒ\}}t|j|kƒ qd S )N))r5   r'   rA   )rA   r'   r5   )r5   rA   r'   )r'   rA   r5   )rA   r5   r'   )r'   r5   rA   r   r&   ©r   r   r   r   r   Úshape©r   r)   Úrr"   r  r/   r   r   r   Útest_shape_3dŒ  s
    zTestHistogramdd.test_shape_3dc                 C   s<   d}t j dd¡}|D ] }t||ƒ\}}t|j|kƒ qd S )N))r¢   r'   r5   rA   )r'   r5   r¢   rA   )r5   rA   r'   r¢   )r¢   rA   r5   r'   )r5   r¢   rA   r'   )r'   rA   r¢   r5   )rA   r5   r¢   r'   )r¢   r5   r'   rA   )r¢   r'   rA   r5   )rA   r'   r¢   r5   )rA   r¢   r5   r'   )r'   rA   r5   r¢   )r'   r¢   r5   rA   )r5   r'   rA   r¢   )r5   r¢   r'   rA   )rA   r¢   r'   r5   )rA   r5   r'   r¢   )r'   r¢   rA   r5   )r'   r5   rA   r¢   )r¢   rA   r'   r5   )r5   r'   r¢   rA   )r5   rA   r¢   r'   )rA   r'   r5   r¢   )r¢   r5   rA   r'   r   r'   r  r  r   r   r   Útest_shape_4d•  s
    zTestHistogramdd.test_shape_4dc                 C   sž   t j dd¡}t|ƒ\}}t|dd�\}}t|t  d¡d�\}}t||ƒ t|t  d¡d dd�\}}t||ƒ t|t  dt¡d d�\}}t|d| ƒ d S )Nr   r%   Tr?   rY   rg   )r   r   r   r   r\   r   r]   )r   r    r.   r/   Zn_histZw_histr   r   r   ro   £  s    

zTestHistogramdd.test_weightsc                 C   s:   t  dt¡}t|dd�\}}t|d t  dddg¡ƒ d S )N)r   r%   r%   r(   r   r�   rC   rD   )r   rj   r]   r   r   r-   )r   rb   r.   r/   r   r   r   Útest_identical_samples®  s    z&TestHistogramdd.test_identical_samplesc                 C   s`   t g g gddgddgfd�\}}t|t dgg¡ƒ tj g g g gdd�\}}t|t d¡ƒ d S )Nr   r$   r(   rC   r%   )r%   r%   r%   )r   r   r   r-   rj   ry   r   r   r   rz   ³  s     zTestHistogramdd.test_emptyc                 C   sŽ   t  d¡ dd¡}ttt j|ddddgd� ttt j|ddddgd� ttt j|dddddd	d
ggd� tt j|dddddd	dggd�ƒ d S )NrR   r%   r'   rT   r5   r(   r$   g®Gáz®ï?r&   éýÿÿÿ)r   r:   Úreshaper
   r,   r   r   )r   rb   r   r   r   Útest_bins_errors¹  s       ÿz TestHistogramdd.test_bins_errorsc              	   C   sÎ   t jdd��¸ t  d¡ dd¡}t  ddgddgddgg¡}t j|dt j ddggd	�\}}t||ƒ t j|dt  d
dt jg¡gd	�\}}t||ƒ t j|dt j dt jggd	�\}}t||ƒ W 5 Q R X d S )NÚignore)ÚinvalidrA   r&   r%   r$   r   r   r(   rT   )r   Zerrstater:   r  r-   r   rG   r   )r   rb   Úexpectedr0   r1   r   r   r   Útest_inf_edgesÃ  s     
$
"zTestHistogramdd.test_inf_edgesc                 C   s  dg}dddgg}t ||d�\}}t|d dkƒ t|d dkƒ dg}dddgg}t ||d�\}}t|d dkƒ t|d dkƒ dg}dddgg}t ||d�\}}t|d dkƒ t|d dkƒ d	g}dddgg}t ||d�\}}t|d dkƒ t|d dkƒ d S )
NgÐG»ÿÿÿï?rC   rD   r*   r(   r   r$   g8ß   ð?gq¬‹Ûh ð?)r   r   )r   rb   r)   r.   Ú_r   r   r   Útest_rightmost_binedgeÏ  s(    z&TestHistogramdd.test_rightmost_binedgec                 C   sv   t j d¡}t|ddgddgddggd� ttt|ddgddgdt jggd� ttt|ddgt jdgddggd� d S )N)r   r&   rC   r*   rF   r�   rD   rJ   )r   r   r   r
   r,   rG   r‚   r~   r   r   r   rƒ   æ  s    ÿÿz!TestHistogramdd.test_finite_rangec                 C   sl   t  dddg¡}t  dddg¡}t  dddg¡}d}t||f||fd�\}}t  dgdgg¡}t||ƒ dS )z: Test that adjacent entries in an edge array can be equal r   r$   r%   r(   r+   r*   N©r   r-   r   r   )r   rb   rc   Úx_edgesÚy_edgesr.   r/   Zhist_expectedr   r   r   Útest_equal_edgesî  s    þz TestHistogramdd.test_equal_edgesc                 C   sr   t  dddg¡}|d }t  ddddg¡}|d }t||f||fd�\}}t|d j|jƒ t|d j|jƒ dS )	z< Test that if an edge array is input, its type is preserved r   r   r¡   r5   rM   r(   r$   N)r   r-   r   r   rZ   )r   rb   rc   r  r  r.   r/   r   r   r   Útest_edge_dtypeü  s    zTestHistogramdd.test_edge_dtypec                 C   s`   d}t  dgt j¡}t  ddgt j¡}|| }|| }t||f||fd�\}}t|d dƒ d S )Nl            r   rT   r$   r(   )r   r   )r   r-   Zint64r   r   )r   Úbigrb   r  rc   r  r.   r/   r   r   r   Útest_large_integers  s    z#TestHistogramdd.test_large_integersc                 C   sÔ   t  dddg¡}t  dddg¡}t  ddgddgg¡}t  dgdgd  dgd  dgd  ¡}t  dgdgd  dgd  dgd  ¡}t||f||fd	�\}}t||ƒ t||f||fd
d�\}}t|dƒ d S )Nr   r%   rR   rA   r&   r6   r$   r¢   r(   Tr  g      �?r  )r   r  r  Zrelative_areasrb   rc   r.   r/   r   r   r   Útest_density_non_uniform_2d  s    	þ**
z+TestHistogramdd.test_density_non_uniform_2dc                 C   sb   t  d¡}t  dddddg¡}t||dd�\}}t|f|fdd�\}}t||ƒ t||d ƒ d S )Nr   r   r$   r&   rA   Tr?   ©r   r:   r-   r   r   r   ©r   r    r)   r.   r/   Úhist_ddÚedges_ddr   r   r   Útest_density_non_uniform_1d.  s    

z+TestHistogramdd.test_density_non_uniform_1dc                 C   sb   t  d¡}t  dddddg¡}t||dd�\}}t|f|fdd�\}}t||ƒ t||d ƒ d S )	Nr   r   r$   r&   rA   Tr?   r3   r#  r$  r   r   r   Útest_density_via_normed7  s    

z'TestHistogramdd.test_density_via_normedc              	   C   sP   t  d¡}t  dddddg¡}ttdƒ� t|f|fddd�\}}W 5 Q R X d S )	Nr   r   r$   r&   rA   zCannot specify bothT)r@   r4   )r   r:   r-   r   r}   r   )r   r    r)   r%  r&  r   r   r   Útest_density_normed_redundancy@  s    

þz.TestHistogramdd.test_density_normed_redundancyN)r¼   r½   r¾   r#   r  r  ro   r  rz   r  r  r  rƒ   r  r  r!  r"  r'  r(  r)  r   r   r   r   r  e  s"   %	
		r  )Únumpyr   Znumpy.lib.histogramsr   r   r   Znumpy.testingr   r   r   r   r	   r
   r   r   r   r   r  r   r¿   r  r   r   r   r   Ú<module>   s   0     =