o
    V=ºigˆ  ã                   @   sŽ   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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_warnings)Úrequires_memoryc                   @   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$„ Zd%d&„ Zd'd(„ Zd)d*„ Zd+d,„ Zd-d.„ Zd/d0„ Zd1d2„ Zd3d4„ Zd5d6„ Zd7d8„ Zd9d:„ Zd;d<„ Z d=d>„ Z!d?d@„ Z"e#dAdB�e$j%j&dCdD„ ƒƒZ'dES )FÚTestHistogramc                 C   ó   d S ©N© ©Úselfr   r   úeC:\Users\psant\Downloads\PAF backend\school\venv\Lib\site-packages\numpy/lib/tests/test_histograms.pyÚsetup_method   ó   zTestHistogram.setup_methodc                 C   r   r   r   r   r   r   r   Úteardown_method   r   zTestHistogram.teardown_methodc                 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 g d¢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 )N©é   é   é   é   r(   r)   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   s  t ƒ }|�5 | tjd¡}d}tj |¡}t|dd�\}}t |t |¡ ¡}t	|dƒ t
t|ƒdƒ W d   ƒ n1 s=w   Y  t ƒ }|�8 | tjd¡}t d¡}g d¢}t||dd�\}}t |t |¡ ¡}t	|dƒ t
t|ƒdƒ W d   ƒ d S 1 s‚w   Y  d S )Nz
.*normed.*r   T©Únormedr(   r   )r   r(   é   é	   r   )r   Úrecordr   ZVisibleDeprecationWarningr   r   r   r    Údiffr   r   ÚlenÚarange)	r   ÚsupÚrecr"   r#   r$   r%   Úarear-   r   r   r   Útest_normed*   s(   
ø


"÷zTestHistogram.test_normedc           	      C   s  d}t j |¡}t|dd�\}}t  |t  |¡ ¡}t|dƒ t  d¡}g d¢}t||dd�\}}t|dƒ t	t  |t  |¡ ¡dƒ t||dd�\}}t|g d	¢ƒ t  d¡}d
dddt j
g}t||dd�\}}t|g d¢ƒ t jg d	¢ddt j
gdd�\}}t	|dd
gƒ d S )Nr   T©Údensityr(   r   ©r   r(   r*   é   r   çš™™™™™¹?Fr'   r   r*   rF   )rG   rG   rG   ç        ç      à?ç      ø?ç      Ð?)r   r   r   r   r    r<   r   r>   r   r   Úinf)	r   r"   r#   r$   r%   rA   r-   ÚcountsZdmyr   r   r   Útest_densityB   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   rI   r   r:   ©Úranger(   T©rP   rD   é   ©Údecimal©rP   ÚweightsrD   é   ©r-   rP   rV   éÿÿÿÿ)r   r>   r   r   r    r   r<   )r   r$   r4   r%   Úwr   r   r   Útest_outliersb   s   zTestHistogram.test_outliersc                 C   sd   t  d¡d }t  d¡d }ttdƒ� t|ddg|dd�\}}W d   ƒ d S 1 s+w   Y  d S )	Nr   rI   é   zsame shape asr(   r:   TrU   )r   r>   r   r0   r   )r   r$   rZ   r4   r%   r   r   r   Útest_arr_weights_mismatchz   s
   "ÿz'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   rI   TrC   ©rV   )r   r>   r   r   Z
issubdtypeÚdtypeÚintegerZfloatingÚonesÚintÚfloat)r   r$   r4   r%   r   r   r   Ú	test_type�   s   zTestHistogram.test_typec                 C   sP   t jg d¢t jd�}t jg d¢t jd�}t j||dd�\}}}t| ¡ dƒ d S )N)g2V›ÿEq@g“áx>fQÀg-³ÅVT5@©r_   )g!çý°�³@gö·àS�±@g§’ ^z·@r   r,   ç      @)r   r1   Zfloat32Zhistogram2dr   r    )r   ÚxÚyZcounts_histZxedgesZyedgesr   r   r   Útest_f32_rounding�   s   zTestHistogram.test_f32_roundingc                 C   sŽ   t jg d¢t jd�}t  |¡\}}tƒ �)}| td¡}t  g d¢¡\}}tt|ƒdƒ t	||ƒ t	||ƒ W d   ƒ d S 1 s@w   Y  d S )N)r(   r(   r   re   zConverting input from .*)TTFr(   )
r   r1   Zuint8r   r   r;   ÚRuntimeWarningr   r=   r   )r   r$   Zint_histZ	int_edgesr?   r@   r2   r3   r   r   r   Útest_bool_conversion—   s   
"úz"TestHistogram.test_bool_conversionc                 C   sR  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g d¢dg d¢d
�\}}t
|g d¢ƒ tg d¢dg d¢dd�\}}t|t  g d¢¡d d d ƒ tt  	d¡g d¢g d¢dd�\}}t|g d¢ƒ d S )Nr   r9   TrC   r^   ©rV   rD   r   r   r\   ©r-   rV   )r(   r)   r)   r+   r+   )r+   r*   r)   r(   )r+   r9   r   r(   )r-   rV   rD   g      $@rf   r:   rE   )	r)   r(   r(   r(   r(   r(   r(   r(   r(   )gš™™™™™É?rG   rG   g333333³?)r   r   r   ra   r   r	   r!   ÚconcatenateÚzerosr>   r   r1   r   )r   r#   rZ   r$   r%   ÚnaÚnbÚwaÚwbZnwaZnwbr   r   r   Útest_weights¨   s.   


ÿ 
þzTestHistogram.test_weightsc                 C   s<  t  g d¢¡}t  g d¢¡dt  g d¢¡  }t|g d¢|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  g d¢¡}t  |dƒ|dƒ|d	ƒg¡}t|g d¢|d�\}}t||dƒ|dƒgƒ t|ddd	g|d
�\}}t||dƒ|dƒgƒ d S )N©gÍÌÌÌÌÌô?ç      @gffffff@)r(   rY   r)   y              ð?)r)   r(   r)   )r   r)   r*   rm   r(   r)   r*   rX   r   )ÚDecimalr9   )r   r1   r   r	   rT   rw   )r   ÚvaluesrV   rr   rs   rw   r   r   r   Útest_exotic_weightsÅ   s    &&z!TestHistogram.test_exotic_weightsc                 C   s4   t  g d¢¡}t j|ddgdd� t|g d¢ƒ d S )Nru   éöÿÿÿr   r   )rP   r-   )r   r1   r   r	   )r   rx   r   r   r   Útest_no_side_effectsã   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   r1   ©r   r$   r%   r   r   r   Ú
test_emptyê   s   zTestHistogram.test_emptyc                 C   s,   t jdddd�}t|dƒ ttt|dƒ d S )NrH   r.   r   ©Únumr9   g333333@)r   r!   r   r
   Ú	TypeError©r   Úvalsr   r   r   Útest_error_binnum_typeï   s   
z$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 )NrH   r.   r   r   rK   ç      è?rO   )r   r!   r   r
   r0   ÚnanrL   r‚   r   r   r   Útest_finite_rangeõ   s   zTestHistogram.test_finite_rangec                 C   sR   t jdddd�}ttdƒ� t j|ddgd� W d   ƒ d S 1 s"w   Y  d S )	NrH   r.   r   r   zmax must be larger thanrG   g{®Gáz„?rO   )r   r!   r   r0   r   r‚   r   r   r   Útest_invalid_rangeü   s   "ÿz TestHistogram.test_invalid_rangec           
      C   s~   t  g d¢¡}t j|ddd�\}}|dk}|d d… | }|dd … | }t|||ƒD ]\}}}	t||kƒ t||	k ƒ q+d S )N)iQ  i”  iã  i&  iï  i  iÜ  ih   )r)   iè  ©r-   rP   r   rY   r(   )r   r1   r   Úzipr   )
r   Úarrr2   r3   ÚmaskZ
left_edgesZright_edgesrg   ÚleftÚrightr   r   r   Útest_bin_edge_cases  s   þz!TestHistogram.test_bin_edge_casesc                 C   s4   t  g d¢¡}t j|ddd�\}}t|d dƒ d S )N©	rH   rH   rH   r.   r/   rf   rf   g      @g      @é   ©ç      à¿r9   r‰   rY   r(   )r   r1   r   r   )r   r‹   r2   r3   r   r   r   Útest_last_bin_inclusive_range  s   z+TestHistogram.test_last_bin_inclusive_rangec                 C   sd   t jdddd�}t  ddgddgg¡}ttdƒ� t j||d	� W d   ƒ d S 1 s+w   Y  d S )
NrH   r.   r   r   r   rI   g333333ã?z
must be 1dr,   )r   r!   r1   r   r0   r   )r   rƒ   r-   r   r   r   Útest_bin_array_dims  s
   "ÿz!TestHistogram.test_bin_array_dimsc                 C   s^   t  dg¡}t jg d¢dd�}ttƒ� t j||d�\}}W d   ƒ d S 1 s(w   Y  d S )Nr)   )r(   r*   r(   Zuint64re   r,   )r   r1   r
   r0   r   )r   r‹   r-   r2   r3   r   r   r   Ú test_unsigned_monotonicity_check  s
   
"ÿz.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   ó   g | ]}t  d ¡‘qS ©gš™™™™™Ù?©r   r1   ©Ú.0Úir   r   r   Ú
<listcomp>$  ó    z9TestHistogram.test_object_array_of_0d.<locals>.<listcomp>r   c                 S   r—   r˜   r™   rš   r   r   r   r�   &  rž   c                 S   r—   ©rI   r™   rš   r   r   r   r�   )  rž   g	     à?c                 S   r—   rŸ   r™   rš   r   r   r   r�   *  rž   rI   )r
   r0   r   rP   r   rL   r   r   r   r   Útest_object_array_of_0d!  s   ÿÿ"z%TestHistogram.test_object_array_of_0dc                 C   s  t  ddt jg¡}t  t jt jg¡}tƒ }| t¡ |�[ ttt|dd� ttt|dd� t|ddd�\}}t	| 
¡ dƒ t|ddd�\}}t	| 
¡ dƒ t|ddgd�\}}t	| 
¡ dƒ t|ddgd�\}}t	| 
¡ dƒ W d   ƒ d S 1 szw   Y  d S )Nr   r(   Úautor,   ©r   r(   r‰   r)   )r   r1   r†   r   Úfilterrj   r
   r0   r   r   r    )r   Zone_nanZall_nanr?   r4   r%   r   r   r   Útest_some_nan_values,  s    
"ñz"TestHistogram.test_some_nan_valuesc                 C   sÔ   t  dd¡}t  g d¢¡}t  g d¢¡}|| }|| }t  d¡}t||d�\}}t| |¡| |¡d�\}	}
t||d�\}}t||ƒ t|	|ƒ t||  t¡|ƒ t|
 t¡|ƒ t|j|jƒ t|
j|ƒ d S )Nz
2000-01-01ÚD)	r   r   r(   r(   r)   r*   r9   r   é   )r   r)   é   r¦   ztimedelta64[D]r,   )r   Z
datetime64r1   r_   r   Úastyper   rb   )r   ÚbeginÚoffsetsr-   ÚdatesZ	date_binsÚtdZd_countZd_edgeZt_countZt_edgeZi_countZi_edger   r   r   Útest_datetimeE  s   


zTestHistogram.test_datetimec                 C   s|   dt  |¡j d }t jd|  d d| d g|d�}t|dd�\}}t|d|  d dd| d gƒ t|ddgƒ d S )NrW   r(   r)   r+   re   r,   r   )r   r_   Úitemsizer1   r   r   )r   r_   Úexponentr‹   r2   r5   r   r   r   Údo_signed_overflow_bounds^  s
   $"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_boundse  s
   z)TestHistogram.test_signed_overflow_boundsc                 C   st   t  |¡j}t  dg|¡}t  d| dg|¡}| |¡d dkr"d S t j|d|d�\}}t|dgƒ t|j|ƒ d S )Nr.   r/   r   r(   r‰   ©r   ZfinfoÚepsr1   r¨   r   r   r_   ©r   Úfloat_smallÚfloat_larger¶   r‹   rP   ÚcountZx_locr   r   r   Údo_precision_lower_boundl  ó   z&TestHistogram.do_precision_lower_boundc                 C   st   t  |¡j}t  dg|¡}t  dd| g|¡}| |¡d dkr"d S t j|d|d�\}}t|dgƒ t|j|ƒ d S )Nr.   rH   rY   r(   r‰   rµ   r·   r   r   r   Údo_precision_upper_bound}  r¼   z&TestHistogram.do_precision_upper_boundc                 C   s   |   ||¡ |  ||¡ d S r   )r»   r½   )r   r¸   r¹   r   r   r   Údo_precisionŽ  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   )r¾   r   ZhalfÚsingleÚdoubleZ
longdoubler   r   r   r   Útest_precision’  s   zTestHistogram.test_precisionc                 C   s˜   t g d¢ddgƒ\}}tg d¢ddgƒ}t||ƒ t g d¢¡}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�   r‘   r’   r‰   r¡   r¢   )r   r   r   r   r1   )r   r2   r5   r3   r‹   r   r   r   Útest_histogram_bin_edges›  s   

z&TestHistogram.test_histogram_bin_edgesg    _ B)Z
free_bytesc                 C   sJ   t  ddg¡}d}d}t  d¡}t j||||fd�}tt|ƒtdƒƒ d S )Ni áõr*   i�  i€>  )Úsampler-   )r(   r)   )r   ro   r>   r   r   Útype)r   rÃ   ZxbinsZybinsZzbinsr2   r   r   r   Útest_big_arrays©  s   
zTestHistogram.test_big_arraysN)(Ú__name__Ú
__module__Ú__qualname__r   r   r&   r6   rB   rN   r[   r]   rd   ri   rk   rt   ry   r{   r~   r„   r‡   rˆ   r�   r”   r•   r–   r    r¤   r­   r°   r´   r»   r½   r¾   rÁ   rÂ   r   ÚpytestÚmarkZslowrÅ   r   r   r   r   r      sH    
 	r   c                   @   sz   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g d¢¡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   sL   g d¢}|D ]}t g |d�\}}t|t dg¡ƒ t|t ddg¡ƒ qd S )N©ÚfdÚscottÚriceÚsturgesÚdoaneÚsqrtr¡   Ústoner,   r   r(   r|   )r   Úestimator_listÚ	estimatorr$   r%   r   r   r   r~   º  s   ýz$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 ]\}}t ||¡\}	}
tt|	ƒ|d ||¡d� qJq%d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+   rW   r§   r)   rÌ   é   r   é   é   r:   é   é#   é   éG   r¦   ©é2   iô  iˆ  rz   rY   r9   r(   r*   ú*For the {0} estimator with datasize of {1}©Úerr_msgN)Úitemsr   r!   rn   r   r   r=   Úformat)r   Ú
basic_testÚtestlenÚexpectedResultsÚx1Úx2rg   rÕ   Únumbinsr$   r%   r   r   r   r&   Ã  s*   ÿÿÿüÿþúz%TestHistogramOptimBinNums.test_simplec           	   
   C   s˜   ddddddddœddddddddœddddddddœdœ}|  ¡ D ]'\}}t |¡}|  ¡ D ]\}}t ||¡\}}tt|ƒ|d ||¡d� q/q"dS )	z¸
        Smaller datasets have the potential to cause issues with the data
        adaptive methods, especially the FD method. All bin numbers have been
        precalculated.
        r(   )rÍ   rÎ   rÏ   rÐ   rÑ   rÒ   rÓ   r)   r*   ©r(   r)   r*   rß   rà   N)râ   r   r>   r   r   r=   rã   )	r   Z	small_datrå   ræ   ZtestdatrÕ   Zexpbinsr$   r%   r   r   r   Ú
test_smallÝ  s&   ÿÿÿü
ÿþþz$TestHistogramOptimBinNums.test_smallc                 C   s(   g d¢}|D ]}t ttg d¢|ƒ qdS )zS
        Check a Value Error is thrown when an unknown string is passed in
        )ZmadZfreemanZ
histogramsZIQRrê   N)r
   r0   r   )r   Z
check_listrÕ   r   r   r   Útest_incorrect_methodsñ  s   ÿz0TestHistogramOptimBinNums.test_incorrect_methodsc              	   C   s^   t  d¡}dddddddddœ}| ¡ D ]\}}t  ||¡\}}tt|ƒ|d |¡d� qdS )zŒ
        Check that methods handle no variance in data
        Primarily for Scott and FD as the SD and IQR are both 0 in this case
        r   r(   rÌ   z{0} estimator, No Variance testrà   N)r   ra   râ   r   r   r=   rã   )r   Znovar_datasetZnovar_resultdictrÕ   ré   r$   r%   r   r   r   Útest_novarianceù  s   
ÿÿþz)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   éüÿÿÿr¡   r×   rÍ   rÐ   )r   ra   r   r   r!   r1   )r   Zlim_var_dataZ
edges_autoZedges_fdZedges_sturgesr   r   r   Útest_limited_variance  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.
        rz   r   rÞ   i’ÿÿÿéœÿÿÿr9   é   r\   rF   )rÍ   rÎ   rÑ   rÓ   N)r   r!   Úhstackrâ   r   r   r=   )r   ZxcenterZoutlier_datasetZoutlier_resultdictrÕ   ré   r$   r%   r   r   r   Útest_outlier  s   þz&TestHistogramOptimBinNums.test_outlierc                    sJ   dd„ ‰ ‡ fdd„t dƒD ƒ}ttj|dd�d ƒ}t|g d	¢d
d� dS )zQVerify that Scott's rule and Stone's rule converges for normally distributed datac                 S   sR   t j | ¡}|jdd|d�}tt  |d¡d ƒtt  |d¡d ƒ}}|||  S )Nr   r)   )ÚlocZscaleÚsizerÓ   rÎ   )r   r   ZRandomStateÚnormalr=   r   )Úseedrõ   Úrngrg   r$   r%   r   r   r   Únbins_ratio0  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›   rõ   )rù   r÷   r   r   r�   6  rž   zLTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>.<listcomp>r   r   r+   )ÚstartÚstopr€   )r   Z	geomspaceÚroundr¨   rb   )r›   ©rù   )r÷   r   r�   6  s    .ÿzATestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>r   r   r   rI   )g333333Ã?g
×£p=
·?g{®Gáz´?g¸…ëQ¸ž?r)   rS   N)rP   Úabsr   Úmeanr   )r   ZllÚavgr   rý   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 ]Q\}}t dd|d d ¡}t dd|d d ¡}t dd|¡}t |||f¡}|  ¡ D ]#\}}	tj||dd�\}
}d |¡}|d |¡7 }tt|
ƒ|	|d� qLq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.
        rW   rR   rÛ   )rÍ   rÎ   rÏ   rÐ   r¡   rÓ   rÖ   é    r¦   éP   é!   éE   é   rÝ   rz   rY   r9   r)   r(   r   r*   rð   iÎÿÿÿ)iìÿÿÿr¦   rO   zFor the {0} estimatorz with datasize of {0}rà   N)râ   r   r!   rò   r   rã   r   r=   )r   rä   rå   ræ   rç   rè   Zx3rg   rÕ   ré   r$   r%   Úmsgr   r   r   Útest_simple_range=  s,   
ÿÿÿû	
üùz+TestHistogramOptimBinNums.test_simple_ranger-   )r¡   rÍ   rÑ   rÎ   rÓ   rÏ   rÐ   c                 C   sX   t jg d¢t jd�}t j||d�\}}t j| t j¡|d�\}}t||ƒ t||ƒ d S )N)éþÿÿÿr   é   re   r,   )r   r1   Zint8r   r¨   Zint32r   )r   r-   r$   r2   r3   Zhist32Zedges32r   r   r   Útest_signed_integer_data\  s
   
z2TestHistogramOptimBinNums.test_signed_integer_datac                 C   s0   g d¢}|D ]}t ttg d¢|g d¢d� qdS )z=
        Check that weighted data raises a TypeError
        )rÍ   rÎ   rÏ   rÐ   r¡   rê   r^   N)r
   r�   r   )r   rÔ   rÕ   r   r   r   Útest_simple_weightedf  s   ÿÿz.TestHistogramOptimBinNums.test_simple_weightedN)rÆ   rÇ   rÈ   Ú__doc__r~   r&   rë   rì   rí   rï   ró   r  r  rÉ   rÊ   Zparametrizer  r  r   r   r   r   rË   ´  s    	
rË   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 )$ÚTestHistogramddc              	   C   s:  t  g d¢g d¢g d¢g d¢g d¢g d¢g¡}t|ddd	gd
dgd
dggd�\}}t  g d¢g d¢g d¢gg d¢g d¢g d¢gg¡}t||ƒ g d¢g d¢g d¢g}t||dd�\}}tt  ||d k¡ƒ t|ddd	gd
dgd
dggdd�\}}t  g d¢g d¢g d¢gg d¢g d¢g d¢gg¡}t||d dƒ dd„ t j|dd	d�D ƒ}t|dd d!gd
dgd
d!ggd"�\}}t  d
d
gd
d
gd
d
ggd
d	gd
d
gd	d
ggd
d	gd
d
gd
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ggd
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ggg¡}t||ƒ t  d#¡}d$|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 )&N)r“   rI   rJ   )r“   rJ   rv   )r“   rv   rI   )rI   rI   rJ   )rI   rJ   rv   )rI   rv   rv   )r)   r*   r*   rY   r(   r   r*   rO   )r   r(   r   )r   r   r(   )r(   r   r   )r	  r   r)   )r   r(   r)   r*   T©r-   rD   g      (@)r)   r*   r+   r+   rQ   )r   r(   r   r   )r   r   r(   r   )r(   r   r   r   g      @c                 S   s   g | ]}t  |¡‘qS r   )r   Zsqueeze)r›   rh   r   r   r   r�   ‰  rž   z/TestHistogramdd.test_simple.<locals>.<listcomp>r   )r+   r*   r)   r	  r)   r‰   )r9   r9   r9   r.   r9   )r   r1   r   r   r   Úallr	   Úsplitro   ÚlistrP   r>   )r   rg   ÚHr3   ZanswerZedÚzÚZr   r   r   r&   r  sF   ÿ
ÿÿ

þÿ
ÿý

&&zTestHistogramdd.test_simplec                 C   ó<   d}t j dd¡}|D ]}t||ƒ\}}t|j|kƒ qd S )N))r9   r+   rF   )rF   r+   r9   )r9   rF   r+   )r+   rF   r9   )rF   r9   r+   )r+   r9   rF   r   r*   ©r   r   r   r   r   Úshape©r   r-   Úrr%   r  r3   r   r   r   Útest_shape_3d—  s   þzTestHistogramdd.test_shape_3dc                 C   r  )N))r§   r+   r9   rF   )r+   r9   r§   rF   )r9   rF   r+   r§   )r§   rF   r9   r+   )r9   r§   rF   r+   )r+   rF   r§   r9   )rF   r9   r§   r+   )r§   r9   r+   rF   )r§   r+   rF   r9   )rF   r+   r§   r9   )rF   r§   r9   r+   )r+   rF   r9   r§   )r+   r§   r9   rF   )r9   r+   rF   r§   )r9   r§   r+   rF   )rF   r§   r+   r9   )rF   r9   r+   r§   )r+   r§   rF   r9   )r+   r9   rF   r§   )r§   rF   r+   r9   )r9   r+   r§   rF   )r9   rF   r§   r+   )rF   r+   r9   r§   )r§   r9   rF   r+   r   r+   r  r  r   r   r   Útest_shape_4d   s   þz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)   TrC   r^   rl   )r   r   r   r   ra   r   rb   )r   r#   r2   r3   Zn_histZw_histr   r   r   rt   ®  s   

zTestHistogramdd.test_weightsc                 C   s8   t  dt¡}t|dd�\}}t|d t  g d¢¡ƒ d S )N)r   r)   r)   r,   r   )r“   rH   rI   )r   ro   rb   r   r   r1   )r   rg   r2   r3   r   r   r   Útest_identical_samples¹  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,   rH   r)   )r)   r)   r)   )r   r   r   r1   ro   r}   r   r   r   r~   ¾  s    zTestHistogramdd.test_emptyc              	   C   s~   t  d¡ dd¡}ttt j|g d¢d� ttt j|g d¢d� ttt j|dddg d¢gd� tt j|dddg d	¢gd�ƒ d S )
NrW   r)   r+   )rY   r)   r+   r9   r,   )r(   g®Gáz®ï?r(   r(   r(   )r(   r)   r*   éýÿÿÿr'   )r   r>   Úreshaper
   r0   r   r   )r   rg   r   r   r   Útest_bins_errorsÄ  s   ÿ"z TestHistogramdd.test_bins_errorsc              	   C   sä   t jdd��b 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 d   ƒ d S 1 skw   Y  d S )NÚignore)ÚinvalidrF   r*   r)   r(   r   r   r,   rY   )r   Zerrstater>   r  r1   r   rL   r   )r   rg   Úexpectedr4   r5   r   r   r   Útest_inf_edgesÎ  s    
$
""øzTestHistogramdd.test_inf_edgesc                 C   s  dg}g d¢g}t ||d�\}}t|d dkƒ t|d dkƒ dg}g d¢g}t ||d�\}}t|d dkƒ t|d dkƒ dg}g d¢g}t ||d�\}}t|d dkƒ t|d dkƒ d	g}g d¢g}t ||d�\}}t|d dkƒ t|d dkƒ d S )
NgÐG»ÿÿÿï?)rH   rI   r.   r,   r   rH   r(   r.   g8ß   ð?gq¬‹Ûh ð?)r   r   )r   rg   r-   r2   Ú_r   r   r   Útest_rightmost_binedgeÚ  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*   rH   r.   rK   r…   rI   rO   )r   r   r   r
   r0   rL   r†   r‚   r   r   r   r‡   ñ  s   ÿ
ÿz!TestHistogramdd.test_finite_rangec                 C   sf   t  g d¢¡}t  g d¢¡}t  g d¢¡}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)   r(   r,   r/   r.   N©r   r1   r   r   )r   rg   rh   Úx_edgesÚy_edgesr2   r3   Zhist_expectedr   r   r   Útest_equal_edgesù  s   þz TestHistogramdd.test_equal_edgesc                 C   sl   t  g d¢¡}|d }t  g d¢¡}|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¦   r   )r   r9   rR   r¦   r,   r   r(   N)r   r1   r   r   r_   )r   rg   rh   r(  r)  r2   r3   r   r   r   Útest_edge_dtype  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   rY   r(   r,   )r   r   )r   r1   Zint64r   r   )r   Úbigrg   r(  rh   r)  r2   r3   r   r   r   Útest_large_integers  s   z#TestHistogramdd.test_large_integersc                 C   sÐ   t  g d¢¡}t  g d¢¡}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 )N)r   r)   rW   )r   rF   rW   r*   r:   r(   r§   r,   Tr  g      �?r'  )r   r(  r)  Zrelative_areasrg   rh   r2   r3   r   r   r   Útest_density_non_uniform_2d  s   	þ**
z+TestHistogramdd.test_density_non_uniform_2dc                 C   s\   t  d¡}t  g d¢¡}t||dd�\}}t|f|fdd�\}}t||ƒ t||d ƒ d S )Nr   rE   TrC   r   ©r   r>   r1   r   r   r   ©r   r#   r-   r2   r3   Úhist_ddÚedges_ddr   r   r   Útest_density_non_uniform_1d9  ó   

z+TestHistogramdd.test_density_non_uniform_1dc                 C   s\   t  d¡}t  g d¢¡}t||dd�\}}t|f|fdd�\}}t||ƒ t||d ƒ d S )Nr   rE   TrC   r7   r   r/  r0  r   r   r   Útest_density_via_normedB  r4  z'TestHistogramdd.test_density_via_normedc                 C   s`   t  d¡}t  g d¢¡}ttdƒ� t|f|fddd�\}}W d   ƒ d S 1 s)w   Y  d S )Nr   rE   zCannot specify bothT)rD   r8   )r   r>   r1   r   r�   r   )r   r#   r-   r1  r2  r   r   r   Útest_density_normed_redundancyK  s   

þ"ÿz.TestHistogramdd.test_density_normed_redundancyN)rÆ   rÇ   rÈ   r&   r  r  rt   r  r~   r   r$  r&  r‡   r*  r+  r-  r.  r3  r5  r6  r   r   r   r   r  p  s$    %	
		r  )Znumpyr   Znumpy.lib.histogramsr   r   r   Znumpy.testingr   r   r   r   r	   r
   r   r   r   r   Znumpy.testing._private.utilsr   rÉ   r   rË   r  r   r   r   r   Ú<module>   s    0   * =