o
    Df                     @   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$ Zd%d& Zd'd( Zd)d* Zd+d, Zd-d. Zd/d0 Zd1d2 Zd3d4 Zd5d6 Zd7d8 Zd9d: Zd;d< Z d=d> Z!e"j#j$d?d@dAdB Z%dCdD Z&dES )FTestHistogramc                 C      d S N selfr   r   X/home/ubuntu/webapp/venv/lib/python3.10/site-packages/numpy/lib/tests/test_histograms.pysetup_method      zTestHistogram.setup_methodc                 C   r   r   r   r   r   r   r   teardown_method   r   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   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  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+   r;   )r<   r<   r<                 ?      ?      ?)r   r   r    r   r!   diffr   aranger   r   inf)	r   r#   r$   r%   r&   arear.   counts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   r>   r   	   ranger)   TrJ   r9      decimalrJ   weightsr9      r.   rJ   rP   )r   rB   r   r   r!   r   rA   )r   r%   r5   r&   wr   r   r   test_outliersJ   s   zTestHistogram.test_outliersc                 C   sd   t dd }t dd }ttd t|ddg|dd\}}W d    d S 1 s+w   Y  d S )	Nr   r>      zsame shape asr)   rH   TrO   )r   rB   r   r1   r   )r   r%   rT   r5   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   r>   Tr8   rP   )r   rB   r   r   
issubdtypedtypeintegerfloatingonesintfloat)r   r%   r5   r&   r   r   r   	test_typei   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@rZ   )g!@gS@g^z@r   r-         @)r   r2   float32histogram2dr   r!   )r   xycounts_histxedgesyedgesr   r   r   test_f32_roundingx   s   zTestHistogram.test_f32_roundingc                 C   s   t jg dt jd}t |\}}t )}|td}t g d\}}tt|d t	|| t	|| W d    d S 1 s@w   Y  d S )N)r)   r)   r   ra   zConverting input from .*)TTFr)   )
r   r2   uint8r   r   recordRuntimeWarningr   lenr   )r   r%   int_hist	int_edgessuprecr3   r4   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      Tr8   rX   rP   r9   r   r   rV   r.   rP   )r)   r*   r*   r,   r,   )r,   r+   r*   r)   )r,   rt   r   r)   )r.   rP   r9   g      $@rb   rH   r:   )	r*   r)   r)   r)   r)   r)   r)   r)   r)   )g?r<   r<   g333333?)r   r   r    r]   r   r	   r"   concatenatezerosrB   r   r2   r   )r   r$   rT   r%   r&   nanbwawbnwanwbr   r   r   test_weights   s.   


 
zTestHistogram.test_weightsc                 C   s<  t g d}t g ddt g d  }t|g d|d\}}t|t ddgdt dd	g   t|ddd	g|d
\}}t|t ddgdt dd	g   ddlm} t g d}t |d|d|d	g}t|g d|d\}}t||d|dg t|ddd	g|d
\}}t||d|dg d S )Ng?      @gffffff@)r)   rS   r*   y              ?)r*   r)   r*   )r   r*   r+   rv   r)   r*   r+   rR   r   )Decimalrt   )r   r2   r   r	   rN   r   )r   valuesrP   r{   r|   r   r   r   r   test_exotic_weights   s    &&z!TestHistogram.test_exotic_weightsc                 C   s4   t g d}t j|ddgdd t|g d d S )Nr   r   r   )rJ   r.   )r   r2   r   r	   )r   r   r   r   r   test_no_side_effects   s   z"TestHistogram.test_no_side_effectsc                 C   s>   t g ddgd\}}t|tdg t|tddg d S )Nr   r)   r-   r   r   r   r2   r   r%   r&   r   r   r   
test_empty   s   zTestHistogram.test_emptyc                 C   s,   t jdddd}t|d ttt|d d S )Nr=   r/   r   numrt   g333333@)r   r"   r   r
   	TypeErrorr   valsr   r   r   test_error_binnum_type   s   
z$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 )Nr=   r/   r   r   r@         ?rI   )r   r"   r   r
   r1   nanrC   r   r   r   r   test_finite_range   s   zTestHistogram.test_finite_rangec                 C   sR   t jdddd}ttd t j|ddgd W d    d S 1 s"w   Y  d S )	Nr=   r/   r   r   zmax must be larger thanr<   g{Gz?rI   )r   r"   r   r1   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  q+d S )N)iQ  i  i  i&  i  i  i  ih   )r*   i  r.   rJ   r   rS   r)   )r   r2   r   zipr   )
r   arrr3   r4   mask
left_edges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	r=   r=   r=   r/   r0   rb   rb   g      @g      @         rt   r   rS   r)   )r   r2   r   r   )r   r   r3   r4   r   r   r   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 t j||d	 W d    d S 1 s+w   Y  d S )
Nr=   r/   r   r   r   r>   g333333?z
must be 1dr-   )r   r"   r2   r   r1   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    d S 1 s(w   Y  d S )Nr*   )r)   r+   r)   uint64ra   r-   )r   r2   r
   r1   r   )r   r   r.   r3   r4   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      g | ]}t d qS g?r   r2   .0ir   r   r   
<listcomp>      z9TestHistogram.test_object_array_of_0d.<locals>.<listcomp>r   c                 S   r   r   r   r   r   r   r   r     r   c                 S   r   r>   r   r   r   r   r   r     r   g	     ?c                 S   r   r   r   r   r   r   r   r     r   r>   )r
   r1   r   rJ   r   rC   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    d S 1 szw   Y  d S )Nr   r)   autor-   r   r)   r   r*   )r   r2   r   r   filterrm   r
   r1   r   r   r!   )r   one_nanall_nanrq   r5   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+   rt   r      )r   r*      r   ztimedelta64[D]r-   )r   
datetime64r2   rZ   r   astyper   r^   )r   beginoffsetsr.   dates	date_binstdd_countd_edget_countt_edgei_count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 )NrQ   r)   r*   r,   ra   r-   r   )r   rZ   itemsizer2   r   r   )r   rZ   exponentr   r3   r6   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shortintcint_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r"d S t j|d|d\}}t|dg t|j| d S )Nr/   r0   r   r)   r   r   finfoepsr2   r   r   r   rZ   r   float_smallfloat_larger   r   rJ   count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r"d S t j|d|d\}}t|dg t|j| d S )Nr/   r=   rS   r)   r   r   r   r   r   r   r   do_precision_upper_boundc  s   z&TestHistogram.do_precision_upper_boundc                 C   s   |  || | || d S r   )r   r   )r   r   r   r   r   r   do_precisions  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   halfsingledouble
longdoubler   r   r   r   test_precisionw  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   r2   )r   r3   r6   r4   r   r   r   r   test_histogram_bin_edges  s   

z&TestHistogram.test_histogram_bin_edgesz,Bad memory reports lead to OOM in ci testing)reasonc                 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   rx   rB   r   r   type)r   r   xbinsybinszbinsr3   r   r   r   test_big_arrays  s   
zTestHistogram.test_big_arraysc                 C   s<   t jt jdgddddd\}}t ddg}t|| d S )	Ng$xz>f8ra   r*   )gx0gel	  r   r)   r   )r   r   r2   r   )r   r3   r6   expected_histr   r   r   test_gh_23110  s   
zTestHistogram.test_gh_23110N)'__name__
__module____qualname__r   r   r'   r7   rG   rU   rW   r`   rj   rs   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   pytestmarkskipr   r   r   r   r   r   r      sF    
 	
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)   r   )r   estimator_list	estimatorr%   r&   r   r   r   r     s   z$TestHistogramOptimBinNums.test_emptyc                 C   s   ddddddddddddddd	dd
ddddddddddd}|  D ]?\}}tdd|d d }tdd|d d }t||f}|  D ]\}}t||\}	}
tt|	|d||d qJq%dS )z
        Straightforward testing with a mixture of linspace data (for
        consistency). All test values have been precomputed and the values
        shouldn't change
        r,   rQ   r   r*   r      r         rH      #      G   r   2   i  i  r   rS   rt   r)   r+   *For the {0} estimator with datasize of {1}err_msgN)itemsr   r"   rw   r   r   rn   format)r   
basic_testtestlenexpectedResultsx1x2re   r   numbinsr%   r&   r   r   r   r'     s*   z%TestHistogramOptimBinNums.test_simplec           	   
   C   s   ddddddddddddddddddddddddd}|  D ]'\}}t|}|  D ]\}}t||\}}tt||d||d q/q"dS )	z
        Smaller datasets have the potential to cause issues with the data
        adaptive methods, especially the FD method. All bin numbers have been
        precalculated.
        r)   )r   r   r   r   r   r   r   r*   r+   r)   r*   r+   r  r  N)r  r   rB   r   r   rn   r  )	r   	small_datr	  r
  testdatr   expbinsr%   r&   r   r   r   
test_small  s&   
z$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
        )madfreeman
histogramsIQRr  N)r
   r1   r   )r   
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 ]\}}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   rn   r  )r   novar_dataset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"   r2   )r   lim_var_data
edges_autoedges_fd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.
        r   r   r  irt      rV   r;   )r   r   r   r   N)r   r"   hstackr  r   r   rn   )r   xcenteroutlier_dataset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*   )locscalesizer   r   )r   r   RandomStatenormalrn   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+  )r0  r.  r   r   r   #  r   zLTestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>.<listcomp>r   r   r,   )startstopr   )r   	geomspaceroundr   r^   )r   r0  )r.  r   r   #  s    .zATestHistogramOptimBinNums.test_scott_vs_stone.<locals>.<listcomp>r   r   r   r>   )g333333?g
ףp=
?g{Gz?gQ?r*   rM   N)rJ   absr   meanr   )r   llavgr   r5  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 ]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|
|	|d qLq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.
        rQ   rL   r   )r   r   r   r   r   r   r       r   P   !   E      r  r   rS   rt   r*   r)   r   r+   r"  i)ir   rI   zFor the {0} estimatorz with datasize of {0}r  N)r  r   r"   r$  r   r  r   rn   )r   r  r	  r
  r  r  x3re   r   r  r%   r&   msgr   r   r   test_simple_range*  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      ra   r-   )r   r2   int8r   r   int32r   )r   r.   r%   r3   r4   hist32edges32r   r   r   test_signed_integer_dataI  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  rX   N)r
   r   r   )r   r   r   r   r   r   test_simple_weightedS  s   z.TestHistogramOptimBinNums.test_simple_weightedN)r   r   r   __doc__r   r'   r  r  r  r!  r(  r:  rB  r   r   parametrizerI  rJ  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   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
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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
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d!ggd"\}}t d
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d%t	t
d%t	t
d%f< tt d%t d%t d%gd%\}}t|| d S )&N)r   r>   r?   )r   r?   r   )r   r   r>   )r>   r>   r?   )r>   r?   r   )r>   r   r   )r*   r+   r+   rS   r)   r   r+   rI   )r   r)   r   )r   r   r)   )r)   r   r   )rC  r   r*   )r   r)   r*   r+   Tr.   r9   g      (@)r*   r+   r,   r,   rK   )r   r)   r   r   )r   r   r)   r   )r)   r   r   r   g      @c                 S   s   g | ]}t |qS r   )r   squeeze)r   rf   r   r   r   r   v  r   z/TestHistogramdd.test_simple.<locals>.<listcomp>r   )r,   r+   r*   rC  r*   r   )rt   rt   rt   r/   rt   )r   r2   r   r   r   allr	   splitrx   listrJ   rB   )r   re   Hr4   answeredzZr   r   r   r'   _  sF   





&&zTestHistogramdd.test_simplec                 C   <   d}t jdd}|D ]}t||\}}t|j|k qd S )N))rt   r,   r;   )r;   r,   rt   )rt   r;   r,   )r,   r;   rt   )r;   rt   r,   )r,   rt   r;   r   r+   r   r   r    r   r   shaper   r.   rr&   rS  r4   r   r   r   test_shape_3d  s   zTestHistogramdd.test_shape_3dc                 C   rX  )N))r   r,   rt   r;   )r,   rt   r   r;   )rt   r;   r,   r   )r   r;   rt   r,   )rt   r   r;   r,   )r,   r;   r   rt   )r;   rt   r   r,   )r   rt   r,   r;   )r   r,   r;   rt   )r;   r,   r   rt   )r;   r   rt   r,   )r,   r;   rt   r   )r,   r   rt   r;   )rt   r,   r;   r   )rt   r   r,   r;   )r;   r   r,   rt   )r;   rt   r,   r   )r,   r   r;   rt   )r,   rt   r;   r   )r   r;   r,   rt   )rt   r,   r   r;   )rt   r;   r   r,   )r;   r,   rt   r   )r   rt   r;   r,   r   r,   rY  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*   Tr8   rX   ru   )r   r   r    r   r]   r   r^   )r   r$   r3   r4   n_histw_histr   r   r   r     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   r=   r>   )r   rx   r^   r   r   r2   )r   re   r3   r4   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-   r=   r*   )r*   r*   r*   )r   r   r   r2   rx   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 )
NrQ   r*   r,   )rS   r*   r,   rt   r-   )r)   gGz?r)   r)   r)   )r)   r*   r+   r(   )r   rB   reshaper
   r1   r   r   )r   re   r   r   r   test_bins_errors  s   "z TestHistogramdd.test_bins_errorsc              	   C   s   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|| 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    d S 1 skw   Y  d S )Nignore)invalidr;   r+   r*   r)   r   r   r-   rS   )r   errstaterB   rc  r2   r   rC   r   )r   re   expectedr5   r6   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?)r=   r>   r/   r-   r   r=   r)   r/   g8   ?gqh ?)r   r   )r   re   r.   r3   _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+   r=   r/   r@   r   r>   rI   )r   r   r   r
   r1   rC   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-   r0   r/   Nr   r2   r   r   )r   re   rf   x_edgesy_edgesr3   r4   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   rt   rL   r   r-   r   r)   N)r   r2   r   r   rZ   )r   re   rf   rm  rn  r3   r4   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   rS   r)   r-   )r   r   )r   r2   int64r   r   )r   bigre   rm  rf   rn  r3   r4   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*   rQ   )r   r;   rQ   r+   rH   r)   r   r-   TrN  g      ?rl  )r   rm  rn  relative_areasre   rf   r3   r4   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   r:   Tr8   r   )r   rB   r2   r   r   r   )r   r$   r.   r3   r4   hist_ddedges_ddr   r   r   test_density_non_uniform_1d&  s   

z+TestHistogramdd.test_density_non_uniform_1dN)r   r   r   r'   r]  r^  r   ra  r   rd  ri  rk  r   rp  rq  rt  rv  ry  r   r   r   r   rM  ]  s     %	
rM  )numpyr   r   r   r   numpy.testingr   r   r   r   r	   r
   r   r   r   r   numpy.testing._private.utilsr   r   r   r   rM  r   r   r   r   <module>   s    0    =