a
    Ib                     @   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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_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$ Zd%d& Zd'd( Zd)d* Zd+d, Zd-d. Zd/d0 Zd1d2 Zd3d4 Zd5d6 Zd7d8 Zd9d: Zd;d< Z d=d> Z!d?d@ Z"dAS )BTestHistogramc                 C   s   d S N selfr   r   \/var/www/html/barcode/barcode/lib/python3.9/site-packages/numpy/lib/tests/test_histograms.pysetup   s    zTestHistogram.setupc                 C   s   d S r   r   r   r   r   r   teardown   s    zTestHistogram.teardownc                 C   sT   d}t j|}t|\}}tt j|dd| tt ddd\}}t|d d S )Nd   r   Zaxis
   )nprandomrandr   r   sumlinspacer   )r   nvabr   r   r   test_simple   s    zTestHistogram.test_simplec                 C   s   t g dddg\}}t|dg t|ddg ttt ddgdd t ddgdd\}}t|tdg t|tddg d S )N            r%   r&   r   bins      ?       @)r   r   r
   
ValueErrorr   r   arrayr   )r   histedgesher   r   r   test_one_bin   s    zTestHistogram.test_one_binc           	      C   s  t  }|j |tjd}d}tj|}t|dd\}}t|t| }t	|d t
t|d W d    n1 sz0    Y  t  }|n |tjd}td}g d}t||dd\}}t|t| }t	|d t
t|d W d    n1 s0    Y  d S )Nz
.*normed.*r   Tnormedr%   r   )r   r%      	   r   )r   recordr   ZVisibleDeprecationWarningr   r   r   r   diffr   r   lenarange)	r   suprecr   r    r!   r"   arear*   r   r   r   test_normed)   s$    
,

zTestHistogram.test_normedc           	      C   s  d}t j|}t|dd\}}t |t | }t|d t d}g d}t||dd\}}t|d t	t |t | d t||dd\}}t|g d	 t d}d
dddt j
g}t||dd\}}t|g d t jg d	ddt j
gdd\}}t	|dd
g d S )Nr   Tdensityr%   r   r   r%   r'      r   皙?Fr$   r   r'   rC   )rD   rD   rD                 ?      ?      ?)r   r   r   r   r   r9   r   r;   r   r   inf)	r   r   r    r!   r"   r>   r*   countsZdmyr   r   r   test_densityA   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   rF   r   r7   ranger%   TrM   rA      decimalrM   weightsrA      r*   rM   rS   )r   r;   r   r   r   r   r9   )r   r!   r1   r"   wr   r   r   test_outliersa   s    zTestHistogram.test_outliersc                 C   sb   t dd }t dd }ttd( t|ddg|dd\}}W d    n1 sT0    Y  d S )	Nr   rF      zsame shape asr%   r7   TrR   )r   r;   r   r-   r   )r   r!   rW   r1   r"   r   r   r   test_arr_weights_mismatchy   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   rF   Tr@   rS   )r   r;   r   r   Z
issubdtypedtypeintegerZfloatingonesintfloat)r   r!   r1   r"   r   r   r   	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 d S )N)g2VEq@gx>fQg-VT5@r\   )g!@gS@g^z@r   r)         @)r   r.   float32Zhistogram2dr   r   )r   xyZcounts_histZxedgesZyedgesr   r   r   test_f32_rounding   s    zTestHistogram.test_f32_roundingc                 C   s   t jg dt jd}t |\}}t P}|td}t g d\}}tt|d t	|| t	|| W d    n1 s~0    Y  d S )N)r%   r%   r   rb   zConverting input from .*)TTFr%   )
r   r.   Zuint8r   r   r8   RuntimeWarningr   r:   r   )r   r!   Zint_histZ	int_edgesr<   r=   r/   r0   r   r   r   test_bool_conversion   s    
z"TestHistogram.test_bool_conversionc                 C   sR  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g ddg dd
\}}t
|g d tg ddg ddd\}}t|t g dd d d  tt 	dg dg ddd\}}t|g d d S )Nr   r6   Tr@   r[   rS   rA   r   r   rY   r*   rS   )r%   r&   r&   r(   r(   )r(   r'   r&   r%   )r(   r6   r   r%   )r*   rS   rA   g      $@rc   r7   rB   )	r&   r%   r%   r%   r%   r%   r%   r%   r%   )g?rD   rD   g333333?)r   r   r   r^   r   r	   r   concatenatezerosr;   r   r.   r   )r   r    rW   r!   r"   nanbwawbZnwaZnwbr   r   r   test_weights   s.    


 
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   t|ddd	g|d
\}}t|t ddgdt dd	g   ddlm} t g d}t |d|d|d	g}t|g d|d\}}t||d|dg t|ddd	g|d
\}}t||d|dg d S )Ng?      @gffffff@)r%   rV   r&   y              ?)r&   r%   r&   )r   r&   r'   rk   r%   r&   r'   rU   r   )Decimalr6   )r   r.   r   r	   rQ   ru   )r   valuesrS   rp   rq   ru   r   r   r   test_exotic_weights   s     &&z!TestHistogram.test_exotic_weightsc                 C   s4   t g d}t j|ddgdd t|g d d S )Nrs   r   r   )rM   r*   )r   r.   r   r	   )r   rv   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 )NrE   r+   r   numr6   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 )NrE   r+   r   r}   rH         ?rL   )r   r   r   r
   r-   nanrI   r   r   r   r   test_finite_range   s    zTestHistogram.test_finite_rangec                 C   sP   t jdddd}ttd" t j|ddgd W d    n1 sB0    Y  d S )	NrE   r+   r   r}   zmax must be larger thanrD   g{Gz?rL   )r   r   r   r-   r   r   r   r   r   test_invalid_range   s    z TestHistogram.test_invalid_rangec           
      C   s~   t g d}t j|ddd\}}|dk}|d d | }|dd  | }t|||D ]"\}}}	t||k t||	k  qVd S )N)iQ  i  i  i&  i  i  i  ih   )r&   i  r*   rM   r   rV   r%   )r   r.   r   zipr   )
r   arrr/   r0   maskZ
left_edgesZright_edgesre   leftrightr   r   r   test_bin_edge_cases  s    z!TestHistogram.test_bin_edge_casesc                 C   s4   t g d}t j|ddd\}}t|d d d S )N	rE   rE   rE   r+   r,   rc   rc   g      @g      @         r6   r   rV   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   sb   t jdddd}t ddgddgg}ttd t j||d	 W d    n1 sT0    Y  d S )
NrE   r+   r   r}   r   rF   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   s\   t dg}t jg ddd}tt" t j||d\}}W d    n1 sN0    Y  d S )Nr&   )r%   r'   r%   Zuint64rb   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>#      z9TestHistogram.test_object_array_of_0d.<locals>.<listcomp>r   c                 S   s   g | ]}t d qS r   r   r   r   r   r   r   %  r   c                 S   s   g | ]}t d qS rF   r   r   r   r   r   r   (  r   g	     ?c                 S   s   g | ]}t d qS r   r   r   r   r   r   r   )  r   rF   )r
   r-   r   rM   r   rI   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 d    n1 s0    Y  d S )Nr   r%   autor)   r   r%   r   r&   )r   r.   r   r   filterrh   r
   r-   r   r   r   )r   Zone_nanZall_nanr<   r1   r"   r   r   r   test_some_nan_values+  s    
z"TestHistogram.test_some_nan_valuesc                 C   s   t dd}t g d}t g d}|| }|| }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D)	r   r   r%   r%   r&   r'   r6   r      )r   r&      r   ztimedelta64[D]r)   )r   Z
datetime64r.   r\   r   astyper   r_   )r   beginoffsetsr*   datesZ	date_binstdZd_countZd_edgeZt_countZt_edgeZi_countZi_edger   r   r   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 t|ddg d S )NrT   r%   r&   r(   rb   r)   r   )r   r\   itemsizer.   r   r   )r   r\   exponentr   r/   r2   r   r   r   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   byteshortZintcint_Zlonglongr   r   r   r   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 t|j| d S )Nr+   r,   r   r%   r   r   Zfinfoepsr.   r   r   r   r\   r   float_smallfloat_larger   r   rM   countZx_locr   r   r   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 t|j| d S )Nr+   rE   rV   r%   r   r   r   r   r   r   do_precision_upper_bound|  s    z&TestHistogram.do_precision_upper_boundc                 C   s   |  || | || d S r   )r   r   )r   r   r   r   r   r   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halfsingledoubleZ
longdoubler   r   r   r   test_precision  s    zTestHistogram.test_precisionc                 C   s   t g dddg\}}tg dddg}t|| tg d}t |ddd\}}t|ddd}t|| t |dd	d\}}t|dd	d}t|| d S )
Nr$   r%   r&   r   r   r   r   r   r   )r   r   r   r   r.   )r   r/   r2   r0   r   r   r   r   test_histogram_bin_edges  s    

z&TestHistogram.test_histogram_bin_edgesN)#__name__
__module____qualname__r   r   r#   r3   r?   rK   rX   rZ   ra   rg   ri   rr   rw   ry   r|   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r      s@   
 	r   c                   @   sz   e Zd ZdZdd Zdd Zdd Zdd	 Zd
d Zdd Z	dd Z
dd Zdd Zejdg ddd Zdd ZdS )TestHistogramOptimBinNumsz]
    Provide test coverage when using provided estimators for optimal number of
    bins
    c                 C   sL   g d}|D ]:}t g |d\}}t|tdg t|tddg qd S )Nfdscottricesturgesdoanesqrtr   stoner)   r   r%   rz   )r   estimator_list	estimatorr!   r"   r   r   r   r|     s
    z$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(   rT   r   r&   r      r         r7      #      G   r   2   i  i  rx   rV   r6   r%   r'   *For the {0} estimator with datasize of {1}err_msgN)itemsr   r   rl   r   r   r:   format)r   
basic_testtestlenexpectedResultsx1x2re   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  s"    
z$TestHistogramOptimBinNums.test_smallc                 C   s(   g d}|D ]}t ttg d| qdS )zS
        Check a Value Error is thrown when an unknown string is passed in
        )ZmadZfreemanZ
histogramsZIQRr   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   r^   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   r^   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.
        rx   r   r   ir6      rY   rC   )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                    sJ   dd   fddt dD }ttj|ddd }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 tt |dd  }}|||  S )Nr   r&   )locZscalesizer   r   )r   r   ZRandomStatenormalr:   r   )seedr   rngre   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   +  r   zLTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>.<listcomp>r   r   r(   )startstopr~   )r   Z	geomspaceroundr   r_   )r   r   )r   r   r   +  s   zATestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>r   r   r   rF   )g333333?g
ףp=
?g{Gz?gQ?r&   rP   N)rM   absr   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.
        rT   rO   r   )r   r   r   r   r   r   r       r   P   !   E      r   rx   rV   r6   r&   r%   r   r'   r   i)ir   rL   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x3re   r   r   r!   r"   msgr   r   r   test_simple_range2  s(    
	
z+TestHistogramOptimBinNums.test_simple_ranger*   )r   r   r   r   r   r   r   c                 C   sX   t jg dt jd}t j||d\}}t j|t j|d\}}t|| t|| d S )N)r      rb   r)   )r   r.   Zint8r   r   int32r   )r   r*   r!   r/   r0   Zhist32Zedges32r   r   r   test_signed_integer_dataQ  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
        )r   r   r   r   r   r   r[   N)r
   r   r   )r   r   r   r   r   r   test_simple_weighted[  s
    z.TestHistogramOptimBinNums.test_simple_weightedN)r   r   r   __doc__r|   r#   r   r   r   r   r   r   r   pytestmarkZ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d  Zd!d" Zd#S )$TestHistogramddc              	   C   s:  t g dg dg dg dg dg dg}t|ddd	gd
dgd
dggd\}}t g dg dg dgg dg dg dgg}t|| g dg dg dg}t||dd\}}tt ||d k t|ddd	gd
dgd
dggdd\}}t g dg dg dgg dg dg dgg}t||d d dd t j|dd	dD }t|dd d!gd
dgd
d!ggd"\}}t d
d
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d	gd
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ggd
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ggg}t|| t d#}d$|t	t
d%t	t
d%t	t
d%f< tt d%t d%t d%gd%\}}t|| d S )&N)r   rF   rG   )r   rG   rt   )r   rt   rF   )rF   rF   rG   )rF   rG   rt   )rF   rt   rt   )r&   r'   r'   rV   r%   r   r'   rL   )r   r%   r   )r   r   r%   )r%   r   r   )r   r   r&   )r   r%   r&   r'   Tr*   rA   g      (@)r&   r'   r(   r(   rN   )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   rf   r   r   r   r   ~  r   z/TestHistogramdd.test_simple.<locals>.<listcomp>r   )r(   r'   r&   r   r&   r   )r6   r6   r6   r+   r6   )r   r.   r   r   r   allr	   splitrm   listrM   r;   )r   re   Hr0   ZanswerZedzZr   r   r   r#   g  sF    





&&zTestHistogramdd.test_simplec                 C   s<   d}t jdd}|D ] }t||\}}t|j|k qd S )N))r6   r(   rC   )rC   r(   r6   )r6   rC   r(   )r(   rC   r6   )rC   r6   r(   )r(   r6   rC   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(   r6   rC   )r(   r6   r   rC   )r6   rC   r(   r   )r   rC   r6   r(   )r6   r   rC   r(   )r(   rC   r   r6   )rC   r6   r   r(   )r   r6   r(   rC   )r   r(   rC   r6   )rC   r(   r   r6   )rC   r   r6   r(   )r(   rC   r6   r   )r(   r   r6   rC   )r6   r(   rC   r   )r6   r   r(   rC   )rC   r   r(   r6   )rC   r6   r(   r   )r(   r   rC   r6   )r(   r6   rC   r   )r   rC   r(   r6   )r6   r(   r   rC   )r6   rC   r   r(   )rC   r(   r6   r   )r   r6   rC   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&   Tr@   r[   rj   )r   r   r   r   r^   r   r_   )r   r    r/   r0   Zn_histZw_histr   r   r   rr     s    

zTestHistogramdd.test_weightsc                 C   s8   t dt}t|dd\}}t|d t g d d S )N)r   r&   r&   r)   r   )r   rE   rF   )r   rm   r_   r   r   r.   )r   re   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)   rE   r&   )r&   r&   r&   )r   r   r   r.   rm   r{   r   r   r   r|     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 d S )
NrT   r&   r(   )rV   r&   r(   r6   r)   )r%   gGz?r%   r%   r%   )r%   r&   r'   r$   )r   r;   reshaper
   r-   r   r   )r   re   r   r   r   test_bins_errors  s    z TestHistogramdd.test_bins_errorsc              	   C   s   t jdd t ddd}t ddgddgddgg}t j|dt j ddggd	\}}t|| t j|dt d
dt jggd	\}}t|| t j|dt j dt jggd	\}}t|| W d    n1 s0    Y  d S )Nignore)invalidrC   r'   r&   r%   r   r   r)   rV   )r   Zerrstater;   r  r.   r   rI   r   )r   re   expectedr1   r2   r   r   r   test_inf_edges  s     
$
"zTestHistogramdd.test_inf_edgesc                 C   s  dg}g dg}t ||d\}}t|d dk t|d dk dg}g dg}t ||d\}}t|d dk t|d dk dg}g dg}t ||d\}}t|d dk t|d dk d	g}g dg}t ||d\}}t|d dk t|d dk d S )
NgG?)rE   rF   r+   r)   r   rE   r%   r+   g8   ?gqh ?)r   r   )r   re   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'   rE   r+   rH   r   rF   rL   )r   r   r   r
   r-   rI   r   r   r   r   r   r     s    z!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|| 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   r.   r   r   )r   re   rf   x_edgesy_edgesr/   r0   Zhist_expectedr   r   r   test_equal_edges  s    z TestHistogramdd.test_equal_edgesc                 C   sl   t g d}|d }t g d}|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   r   )r   r6   rO   r   r)   r   r%   N)r   r.   r   r   r\   )r   re   rf   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   rV   r%   r)   )r   r   )r   r.   int64r   r   )r   bigre   r!  rf   r"  r/   r0   r   r   r   test_large_integers  s    z#TestHistogramdd.test_large_integersc                 C   s   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|| t||f||fdd	\}}t|d
 d S )N)r   r&   rT   )r   rC   rT   r'   r7   r%   r   r)   Tr	  g      ?r   )r   r!  r"  Zrelative_areasre   rf   r/   r0   r   r   r   test_density_non_uniform_2d  s    	**
z+TestHistogramdd.test_density_non_uniform_2dc                 C   s\   t d}t g d}t||dd\}}t|f|fdd\}}t|| t||d  d S )Nr   rB   Tr@   r   r   r;   r.   r   r   r   r   r    r*   r/   r0   hist_ddedges_ddr   r   r   test_density_non_uniform_1d.  s    

z+TestHistogramdd.test_density_non_uniform_1dc                 C   s\   t d}t g d}t||dd\}}t|f|fdd\}}t|| t||d  d S )Nr   rB   Tr@   r4   r   r)  r*  r   r   r   test_density_via_normed7  s    

z'TestHistogramdd.test_density_via_normedc                 C   s^   t d}t g d}ttd( t|f|fddd\}}W d    n1 sP0    Y  d S )Nr   rB   zCannot specify bothT)rA   r5   )r   r;   r.   r   r   r   )r   r    r*   r+  r,  r   r   r   test_density_normed_redundancy@  s    

z.TestHistogramdd.test_density_normed_redundancyN)r   r   r   r#   r  r  rr   r  r|   r  r  r  r   r#  r$  r'  r(  r-  r.  r/  r   r   r   r   r  e  s"   %	
		r  )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   <module>   s   0     =