U
    O8c~                     @   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mZ d dlZG dd dZG dd dZG d	d
 d
ZdS )    N)	histogramhistogramddhistogram_bin_edges)
assert_assert_equalassert_array_equalassert_almost_equalassert_array_almost_equalassert_raisesassert_allcloseassert_array_max_ulpassert_raises_regexsuppress_warnings)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$ Zd%d& Zd'd( Zd)d* Zd+d, Zd-d. Zd/d0 Zd1d2 Zd3d4 Zd5d6 Zd7d8 Zd9d: Zd;d< Z d=d> Z!e"d?d@e#j$j%dAdB Z&dCS )DTestHistogramc                 C   s   d S N selfr   r   C/tmp/pip-unpacked-wheel-fd_gsd75/numpy/lib/tests/test_histograms.pysetup_method   s    zTestHistogram.setup_methodc                 C   s   d S r   r   r   r   r   r   teardown_method   s    zTestHistogram.teardown_methodc                 C   sT   d}t j|}t|\}}tt j|dd| tt ddd\}}t|d d S )Nd   r   Zaxis
   )nprandomrandr   r   sumlinspacer   )r   nvabr   r   r   test_simple   s    zTestHistogram.test_simplec                 C   s   t ddddgddg\}}t|dg t|ddg ttt ddgdd t ddgdd\}}t|tdg t|tddg d S )	N            r   bins      ?       @)r   r   r
   
ValueErrorr   r   arrayr   )r   histedgesher   r   r   test_one_bin    s    zTestHistogram.test_one_binc           	      C   s$  d}t j|}t|dd\}}t |t | }t|d t d}dddddg}t||dd\}}t|d	 t	t |t | d t||d
d\}}t|ddddg t d}ddddt j
g}t||dd\}}t|d	d	d	dg t jddddgddt j
gdd\}}t	|ddg d S )Nr   Tdensityr%   r   r   r'      皙?Fr&   r(                 ?      ?      ?)r   r   r   r   r   diffr   aranger   r   inf)	r   r    r!   r"   r#   arear*   countsZdmyr   r   r   test_density*   s,    




 
 
zTestHistogram.test_densityc                 C   s   t dd }t|ddgd\}}t| d t|ddgd\}}t| d t|ddgdd\}}t|t |  dd	d
 t dd }t|ddg|dd\}}t|t |  d t|dddg|d\}}t||dd  d S )Nr   r9   r   	   ranger%   TrD   r5      decimalrD   weightsr5      r*   rD   rJ   )r   r=   r   r   r   r   r<   )r   r"   r1   r#   wr   r   r   test_outliersJ   s    zTestHistogram.test_outliersc              	   C   sN   t dd }t dd }ttd t|ddg|dd\}}W 5 Q R X d S )	Nr   r9      zsame shape asr%   rB   TrI   )r   r=   r   r-   r   )r   r"   rN   r1   r#   r   r   r   test_arr_weights_mismatchb   s    z'TestHistogram.test_arr_weights_mismatchc                 C   s   t dd }t|\}}tt |jt j t|dd\}}tt |jt j t|t dt	d\}}tt |jt j t|t dt
d\}}tt |jt j d S )Nr   r9   Tr4   rJ   )r   r=   r   r   Z
issubdtypedtypeintegerZfloatingonesintfloat)r   r"   r1   r#   r   r   r   	test_typei   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
 d S )Ng2VEq@gx>fQg-VT5@rS   g!@gS@g^z@r   r)         @)r   r.   Zfloat32Zhistogram2dr   r   )r   xyZcounts_histZxedgesZyedgesr   r   r   test_f32_roundingx   s    zTestHistogram.test_f32_roundingc              	   C   s|   t jdddgt jd}t |\}}t H}|td}t dddg\}}tt|d t	|| t	|| W 5 Q R X d S )Nr%   r   rY   zConverting input from .*TF)
r   r.   Zuint8r   r   recordRuntimeWarningr   lenr   )r   r"   Zint_histZ	int_edgessupZrecr/   r0   r   r   r   test_bool_conversion   s    
z"TestHistogram.test_bool_conversionc                 C   s  t jd}t dd }t|\}}t|dd\}}t||d\}}t||dd\}	}
t|d | t||	 t ddd}t t dt df}t|t 	d	|d
\}}t|| tddddgdddddgd
\}}t
|ddddg tddddgdddddgdd\}}t|t ddddgd d d  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 d S )Nr      Tr4   rR   rJ   r5   r   r   rP   r*   rJ   r%   r&   r(   r'   )r*   rJ   r5   g      $@rZ   rB   r6   g?r7   g333333?)r   r   r   rU   r   r	   r   concatenatezerosr=   r   r.   r   )r   r!   rN   r"   r#   nanbwawbZnwaZnwbr   r   r   test_weights   s8    

"
  
 
$  
zTestHistogram.test_weightsc                 C   sH  t dddg}t dddgdt dddg  }t|ddd	g|d
\}}t|t ddgdt dd	g   t|ddd	g|d\}}t|t ddgdt dd	g   ddlm} t dddg}t |d|d|d	g}t|ddd	g|d
\}}t||d|dg t|ddd	g|d\}}t||d|dg d S )N?      @ffffff@r%   rM   r&   y              ?r   r'   re   rL   )Decimalrc   )r   r.   r   r	   rH   rp   )r   valuesrJ   rj   rk   rp   r   r   r   test_exotic_weights   s    $&&z!TestHistogram.test_exotic_weightsc                 C   s8   t dddg}t j|ddgdd t|dddg d S )Nrm   rn   ro   r   r   )rD   r*   )r   r.   r   r	   )r   rq   r   r   r   test_no_side_effects   s    z"TestHistogram.test_no_side_effectsc                 C   s>   t g ddgd\}}t|tdg t|tddg d S )Nr   r%   r)   r   r   r   r.   r   r"   r#   r   r   r   
test_empty   s    zTestHistogram.test_emptyc                 C   s,   t jdddd}t|d ttt|d d S )Nr8   r+   r   numrc   g333333@)r   r   r   r
   	TypeErrorr   valsr   r   r   test_error_binnum_type   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 )Nr8   r+   r   rx   r;         ?rC   )r   r   r   r
   r-   nanr>   r{   r   r   r   test_finite_range   s    zTestHistogram.test_finite_rangec              	   C   s<   t jdddd}ttd t j|ddgd W 5 Q R X d S )	Nr8   r+   r   rx   zmax must be larger thanr7   g{Gz?rC   )r   r   r   r-   r   r{   r   r   r   test_invalid_range   s    z TestHistogram.test_invalid_rangec           
   	   C   s   t dddddddg}t j|dd	d
\}}|dk}|d d | }|dd  | }t|||D ]"\}}}	t||k t||	k  q`d S )NiQ  i  i  i&  i  i  i  ih   )r&   i  r*   rD   r   rM   r%   )r   r.   r   zipr   )
r   arrr/   r0   maskZ
left_edgesZright_edgesr[   leftrightr   r   r   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 d S )Nr8   r+   r,   rZ         @      @         rc   r   rM   r%   )r   r.   r   r   )r   r   r/   r0   r   r   r   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 t j||d	 W 5 Q R X d S )
Nr8   r+   r   rx   r   r9   g333333?z
must be 1dr)   )r   r   r.   r   r-   r   )r   r|   r*   r   r   r   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 t j||d\}}W 5 Q R X d S )Nr&   r%   r'   Zuint64rY   r)   )r   r.   r
   r-   r   )r   r   r*   r/   r0   r   r   r    test_unsigned_monotonicity_check  s    
z.TestHistogram.test_unsigned_monotonicity_checkc                 C   s   t ttdd tdD tj g  t ttdd tdD tjg  tdd tdD dg  tdd tdD dg  d S )	Nc                 S   s   g | ]}t d qS g?r   r.   .0ir   r   r   
<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 r9   r   r   r   r   r   r     s     g	     ?c                 S   s   g | ]}t d qS r   r   r   r   r   r   r     s     r9   )r
   r-   r   rD   r   r>   r   r   r   r   test_object_array_of_0d	  s      z%TestHistogram.test_object_array_of_0dc              	   C   s   t ddt jg}t t jt jg}t }|t | ttt|dd ttt|dd t|ddd\}}t	|
 d t|ddd\}}t	|
 d t|ddgd\}}t	|
 d t|ddgd\}}t	|
 d W 5 Q R X d S )Nr   r%   autor)   r   r%   r   r&   )r   r.   r   r   filterr_   r
   r-   r   r   r   )r   Zone_nanZall_nanra   r1   r#   r   r   r   test_some_nan_values  s    
z"TestHistogram.test_some_nan_valuesc                 C   s   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|| t|	| t|| t| t|
t| t|j|j t|
j| d S )Nz
2000-01-01Dr   r%   r&   r'   rc   r         ztimedelta64[D]r)   )r   Z
datetime64r.   rS   r   astyper   rV   )r   beginoffsetsr*   datesZ	date_binstdZd_countZd_edgeZt_countZt_edgeZi_countZi_edger   r   r   test_datetime-  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 t|ddg d S )NrK   r%   r&   r(   rY   r)   r   )r   rS   itemsizer.   r   r   )r   rS   exponentr   r/   r2   r   r   r   do_signed_overflow_boundsF  s
    $"z'TestHistogram.do_signed_overflow_boundsc                 C   s@   |  tj |  tj |  tj |  tj |  tj d S r   )r   r   byteshortZintcint_Zlonglongr   r   r   r   test_signed_overflow_boundsM  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 t|j| d S )Nr+   r,   r   r%   r   r   Zfinfoepsr.   r   r   r   rS   r   float_smallfloat_larger   r   rD   countZx_locr   r   r   do_precision_lower_boundT  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 t|j| d S )Nr+   r8   rM   r%   r   r   r   r   r   r   do_precision_upper_bounde  s    z&TestHistogram.do_precision_upper_boundc                 C   s   |  || | || d S r   )r   r   )r   r   r   r   r   r   do_precisionv  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singledoubleZ
longdoubler   r   r   r   test_precisionz  s    zTestHistogram.test_precisionc                 C   s   t ddddgddg\}}tddddgddg}t|| tdddddddd	d
g	}t |ddd\}}t|ddd}t|| t |ddd\}}t|ddd}t|| d S )Nr%   r&   r'   r(   r8   r+   r,   rZ   r   r   r   r   r   r   r   )r   r   r   r   r.   )r   r/   r2   r0   r   r   r   r   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|td d S )Ni r'   i  i>  )sampler*   )r%   r&   )r   rg   r=   r   r   type)r   r   ZxbinsZybinsZzbinsr/   r   r   r   test_big_arrays  s    
zTestHistogram.test_big_arraysN)'__name__
__module____qualname__r   r   r$   r3   rA   rO   rQ   rX   r]   rb   rl   rr   rt   rw   r}   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   pytestmarkZslowr   r   r   r   r   r      sD   
 	r   c                
   @   s   e Zd ZdZdd Zdd Zdd Zdd	 Zd
d Zdd Z	dd Z
dd Zdd Zejddddddddgdd Zdd Zd S )!TestHistogramOptimBinNumsz]
    Provide test coverage when using provided estimators for optimal number of
    bins
    c                 C   sX   ddddddddg}|D ]:}t g |d	\}}t|td
g t|td
dg qd S )Nfdscottricesturgesdoanesqrtr   stoner)   r   r%   ru   )r   estimator_list	estimatorr"   r#   r   r   r   rw     s       z$TestHistogramOptimBinNums.test_emptyc                 C   s   ddddddddddddddd	dd
ddddddddddd}|  D ]~\}}tdd|d d }tdd|d d }t||f}|  D ]2\}}t||\}	}
tt|	|d||d qqJdS )z
        Straightforward testing with a mixture of linspace data (for
        consistency). All test values have been precomputed and the values
        shouldn't change
        r(   rK   r   r&   r   r   r   r   r   r   r   r      r         rB      #      G   r   2   i  i  rs   rM   rc   r%   r'   *For the {0} estimator with datasize of {1}err_msgN)itemsr   r   rf   r   r   r`   format)r   
basic_testtestlenexpectedResultsx1x2r[   r   numbinsr"   r#   r   r   r   r$     s:              z%TestHistogramOptimBinNums.test_simplec           	   
   C   s   ddddddddddddddddddddddddd}|  D ]N\}}t|}|  D ]2\}}t||\}}tt||d||d q^qDdS )	z
        Smaller datasets have the potential to cause issues with the data
        adaptive methods, especially the FD method. All bin numbers have been
        precalculated.
        r%   )r   r   r   r   r   r   r   r&   r'   )r%   r&   r'   r   r   N)r   r   r=   r   r   r`   r   )	r   Z	small_datr   r   Ztestdatr   Zexpbinsr"   r#   r   r   r   
test_small  s0          
 z$TestHistogramOptimBinNums.test_smallc                 C   s.   ddddg}|D ]}t ttdddg| 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_listr   r   r   r   test_incorrect_methods  s    z0TestHistogramOptimBinNums.test_incorrect_methodsc              	   C   s^   t d}ddddddddd}| D ]0\}}t ||\}}tt||d|d q(dS )z
        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%   r   z{0} estimator, No Variance testr   N)r   rU   r   r   r   r`   r   )r   Znovar_datasetZnovar_resultdictr   r   r"   r#   r   r   r   test_novariance  s    
   z)TestHistogramOptimBinNums.test_novariancec                 C   s   t d}d|dd< d|dd< t|d}t|t ddd t|d	}t|t ddg t|d
}t|t ddd dS )zu
        Check when IQR is 0, but variance exists, we return the sturges value
        and not the fd value.
        i  r   Nr'   r   r   r   r   r   )r   rU   r   r   r   r.   )r   Zlim_var_dataZ
edges_autoZedges_fdZedges_sturgesr   r   r   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
}| D ]&\}}t ||\}}tt|| q<dS )a  
        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.
        rs   r   r   irc      rP   r6   )r   r   r   r   N)r   r   hstackr   r   r   r`   )r   ZxcenterZoutlier_datasetZoutlier_resultdictr   r   r"   r#   r   r   r   test_outlier  s    z&TestHistogramOptimBinNums.test_outlierc                    sN   dd   fddt dD }ttj|ddd }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 tt |dd  }}|||  S )Nr   r&   )locZscalesizer   r   )r   r   ZRandomStatenormalr`   r   )seedr   rngr[   r"   r#   r   r   r   nbins_ratio  s    *zBTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.nbins_ratioc                    s6   g | ].  fd dt jdddd tD qS )c                    s   g | ]} |qS r   r   )r   r   )r   r   r   r   r     s     zLTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>.<listcomp>r   r   r(   )startstopry   )r   Z	geomspaceroundr   rV   )r   r   )r   r   r     s   zATestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>r   r   r   r9   g333333?g
ףp=
?g{Gz?gQ?r&   rG   N)rD   absr   Zmeanr   )r   Zllavgr   r   r   test_scott_vs_stone  s    
z-TestHistogramOptimBinNums.test_scott_vs_stonec              	   C   s   ddddddddddddddd	d	d
dd	ddd}|  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|
|	|d qq>dS )z
        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.
        rK   rF   r   )r   r   r   r   r   r   r       r   P   !   E      r   rs   rM   rc   r&   r%   r   r'   r   i)ir   rC   zFor the {0} estimatorz with datasize of {0}r   N)r   r   r   r   r   r   r   r`   )r   r   r   r   r   r   Zx3r[   r   r   r"   r#   msgr   r   r   test_simple_range%  s4    
      	
z+TestHistogramOptimBinNums.test_simple_ranger*   r   r   r   r   r   r   r   c                 C   sZ   t jdddgt jd}t j||d\}}t j|t j|d\}}t|| t|| d S )Nr      rY   r)   )r   r.   Zint8r   r   Zint32r   )r   r*   r"   r/   r0   Zhist32Zedges32r   r   r   test_signed_integer_dataD  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
        r   r   r   r   r   r%   r&   r'   rR   N)r
   rz   r   )r   r   r   r   r   r   test_simple_weightedN  s     z.TestHistogramOptimBinNums.test_simple_weightedN)r   r   r   __doc__rw   r$   r   r   r   r   r   r   r   r   r   Zparametrizer   r   r   r   r   r   r     s"   	  
r   c                   @   s   e Zd Zdd Zdd Zdd Zdd Zd	d
 Zdd Zdd Z	dd Z
dd Zdd Zdd Zdd Zdd Zdd Zdd ZdS ) TestHistogramddc              
   C   st  t dddgdddgdddgdddgdddgdddgg}t|dddgdd	gdd	ggd
\}}t dddgdddgdddggdddgdddgdddggg}t|| dddgdddd	gdddd	gg}t||dd\}}tt ||d k t|dddgdd	gddggdd\}}t ddddgddddgddddggddddgddddgddddggg}t||d d dd t j|d	ddD }t|dddgdd	gddggd\}}t ddgddgddggddgddgddggddgddgddggddgddgddggg}t|| t d}d|t	t
dt	t
dt	t
df< tt dt dt dgd\}}t|| d S )Nr   r9   r:   rn   )r&   r'   r'   rM   r%   r   r'   rC   r   r&   Tr*   r5   g      (@)r&   r'   r(   r(   rE   g      @c                 S   s   g | ]}t |qS r   )r   Zsqueeze)r   r\   r   r   r   r   q  s     z/TestHistogramdd.test_simple.<locals>.<listcomp>r   )r(   r'   r&   r   )rc   rc   rc   r+   rc   )r   r.   r   r   r   allr	   splitrg   listrD   r=   )r   r[   Hr0   ZanswerZedzZr   r   r   r$   Z  sN      

 
$   


&&zTestHistogramdd.test_simplec                 C   s<   d}t jdd}|D ] }t||\}}t|j|k qd S )N))rc   r(   r6   )r6   r(   rc   )rc   r6   r(   )r(   r6   rc   )r6   rc   r(   )r(   rc   r6   r   r'   r   r   r   r   r   shaper   r*   rr#   r  r0   r   r   r   test_shape_3d  s
    zTestHistogramdd.test_shape_3dc                 C   s<   d}t jdd}|D ] }t||\}}t|j|k qd S )N))r   r(   rc   r6   )r(   rc   r   r6   )rc   r6   r(   r   )r   r6   rc   r(   )rc   r   r6   r(   )r(   r6   r   rc   )r6   rc   r   r(   )r   rc   r(   r6   )r   r(   r6   rc   )r6   r(   r   rc   )r6   r   rc   r(   )r(   r6   rc   r   )r(   r   rc   r6   )rc   r(   r6   r   )rc   r   r(   r6   )r6   r   r(   rc   )r6   rc   r(   r   )r(   r   r6   rc   )r(   rc   r6   r   )r   r6   r(   rc   )rc   r(   r   r6   )rc   r6   r   r(   )r6   r(   rc   r   )r   rc   r6   r(   r   r(   r
  r  r   r   r   test_shape_4d  s
    zTestHistogramdd.test_shape_4dc                 C   s   t jdd}t|\}}t|dd\}}t|t dd\}}t|| t|t dd dd\}}t|| t|t dtd d\}}t|d|  d S )Nr   r&   Tr4   rR   rd   )r   r   r   r   rU   r   rV   )r   r!   r/   r0   Zn_histZw_histr   r   r   rl     s    

zTestHistogramdd.test_weightsc                 C   s:   t dt}t|dd\}}t|d t dddg d S )N)r   r&   r&   r)   r   r   r8   r9   )r   rg   rV   r   r   r.   )r   r[   r/   r0   r   r   r   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 tj g g g gdd\}}t|td d S )Nr   r%   r)   r8   r&   )r&   r&   r&   )r   r   r   r.   rg   rv   r   r   r   rw     s     zTestHistogramdd.test_emptyc                 C   s   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 d S )NrK   r&   r(   rM   rc   r)   r%   gGz?r'   )r   r=   reshaper
   r-   r   r   )r   r[   r   r   r   test_bins_errors  s       z TestHistogramdd.test_bins_errorsc              	   C   s   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|| t j|dt d
dt jggd	\}}t|| t j|dt j dt jggd	\}}t|| W 5 Q R X d S )Nignore)invalidr6   r'   r&   r%   r   r   r)   rM   )r   Zerrstater=   r  r.   r   r>   r   )r   r[   expectedr1   r2   r   r   r   test_inf_edges  s     
$
"zTestHistogramdd.test_inf_edgesc                 C   s  dg}dddgg}t ||d\}}t|d dk t|d dk dg}dddgg}t ||d\}}t|d dk t|d dk dg}dddgg}t ||d\}}t|d dk t|d dk d	g}dddgg}t ||d\}}t|d dk t|d dk d S )
NgG?r8   r9   r+   r)   r   r%   g8   ?gqh ?)r   r   )r   r[   r*   r/   _r   r   r   test_rightmost_binedge  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'   r8   r+   r;   r~   r9   rC   )r   r   r   r
   r-   r>   r   r{   r   r   r   r     s    z!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|| 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   r[   r\   x_edgesy_edgesr/   r0   Zhist_expectedr   r   r   test_equal_edges  s    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 t|d j|j dS )	z< Test that if an edge array is input, its type is preserved r   r   r   rc   rF   r)   r%   N)r   r.   r   r   rS   )r   r[   r\   r  r  r/   r0   r   r   r   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 d S )Nl            r   rM   r%   r)   )r   r   )r   r.   Zint64r   r   )r   bigr[   r  r\   r  r/   r0   r   r   r   test_large_integers  s    z#TestHistogramdd.test_large_integersc                 C   s   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|| t||f||fd
d\}}t|d d S )Nr   r&   rK   r6   r'   rB   r%   r   r)   Tr  g      ?r  )r   r  r  Zrelative_areasr[   r\   r/   r0   r   r   r   test_density_non_uniform_2d  s    	**
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|| t||d  d S )Nr   r   r%   r'   r6   Tr4   )r   r=   r.   r   r   r   )r   r!   r*   r/   r0   Zhist_ddZedges_ddr   r   r   test_density_non_uniform_1d!  s    

z+TestHistogramdd.test_density_non_uniform_1dN)r   r   r   r$   r  r  rl   r  rw   r  r  r  r   r  r  r   r!  r"  r   r   r   r   r  X  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   r   r   r   r  r   r   r   r   <module>   s   0    =