U
    \	a                     @   s  d dl mZmZmZmZ d dlZd dlZd dlm	Z	 G dd dZ
dd ZG dd dZejjd	d
dgddgddejjddddgddejjdg dddddfdgdddddfdddgdddddfg dddddfg dddddfg dddddfg dddddfg dddddfg d ddddfg dddddfg ddd!ddfgd"d#d$d%d&d'd(d)d*d+d,gddG d-d. d.Zd/d0 ZG d1d2 d2ZG d3d4 d4ZG d5d6 d6Zd7d8 Zd9d: ZdS );    )assert_allcloseassert_almost_equalassert_array_equalassert_array_almost_equal_nulpNc                   @   s   e Zd Zdd Zd*ddZejjdddgd	d
gddd Zejjdddddgddddgddd Z	ejjdddgddgdejjddddd gd!d"d#d$gdd%d& Z
ejjdddgddgdd'd( Zd)S )+
TestStridec                 C   s   |}|j d k	r|j }q|S )N)base)selfxy r   >/tmp/pip-unpacked-wheel-wjyw_3jo/matplotlib/tests/test_mlab.pyget_base
   s    
zTestStride.get_baser   c           
      C   s|   || }t dt|| d |}t|}t ||f}t|D ](}	|||	 ||	 |  |dd|	f< q@|dkrx|j}|S )z
        This is an adaptation of the original window extraction algorithm.
        This is here to test to make sure the new implementation has the same
        result.
        r      N)nparangelenzerosrangeT)
r   r	   NFFTnoverlapaxisstepindnresultir   r   r   calc_window_target   s    &zTestStride.calc_window_targetshaper   )
   r   Z0DZ2D)idsc              	   C   s<   t t ||}tt t|d W 5 Q R X d S )N   )	r   r   prodZreshapepytestraises
ValueErrormlabstride_windows)r   r   r	   r   r   r   'test_stride_windows_invalid_input_shape"   s    z2TestStride.test_stride_windows_invalid_input_shapezn, noverlap)r   N)   N)   r*   )r*      zn less than 1zn greater than inputznoverlap greater than nznoverlap equal to nc              	   C   s2   t d}tt t||| W 5 Q R X d S )Nr   )r   r   r#   r$   r%   r&   r'   )r   r   r   r	   r   r   r   "test_stride_windows_invalid_params(   s    
z-TestStride.test_stride_windows_invalid_paramsr   r   Zaxis0Zaxis1)r   r   )r!   r   )   r*   )   zn1-noverlap0zn5-noverlap0zn15-noverlap2zn13-noverlapn3c                 C   s   t d}tj||||d}ddg}|||< d||  |d| < | j||||d}|j|jksbtt|| t||jks~t| 	||kstd S )Nd   )r   r   r   r   )
r   r   r&   r'   r   r   AssertionErrorr   tupler   )r   r   r   r   r	   r
   Zexpected_shapeZytr   r   r   test_stride_windows2   s    

zTestStride.test_stride_windowsc                 C   sd   d}t |t j }t |d}| }tj|||d}|dkrF|j}|j|jksVt	t
|| d S )N    )   r   r   r   )r   r   newaxistileflattenr&   r'   r   r   r1   r   )r   r   r   r	   x1x2r
   r   r   r   +test_stride_windows_n32_noverlap0_unflattenE   s    z6TestStride.test_stride_windows_n32_noverlap0_unflattenN)r   r   )__name__
__module____qualname__r   r   r#   markparametrizer(   r,   r3   r<   r   r   r   r   r   	   s.   




 r   c                  C   s   t jd d} t j| d }t | }tt|| tt|| tt t	|| t
| tt t	|t
| d S )Nr     r0   )r   randomseedstandard_normalonesr   r&   window_noneZhanningr   window_hanning)r   ZrandrF   r   r   r   test_windowS   s    
rI   c                   @   sd   e Zd Zdd Zdd Zdd Zdd Zd	d
 Zdd Zdd Z	dd Z
dd Zdd Zdd ZdS )TestDetrendc                 C   s   t jd d}t dd|}t || _| jd | _t dd|| _||  | _	t j
|t |d t j |d   | _|  j| j 8  _d S )	Nr   rB           r0         Y@g      $g     V@r*   )r   rC   rD   linspacer   	sig_zerossig_off	sig_slopemeansig_slope_meanrE   sinpisig_base)r   r   r	   r   r   r   setup_   s    &zTestDetrend.setupc                 G   s   t |ddi d S )Natol:0yE>)r   )r   argsr   r   r   allclosen   s    zTestDetrend.allclosec                 C   s  t ddkstt jddddks(tt jddddks>tt jdt jddksVtd| j| j| j| j| j | j  t	| j| j| j | j| j | j| j | j gt	| j| j| j | j| j | j| j | j gj
fD ]6}t|tjrtt || qt ||kstqd S )NrK   r   r6   nonekey      @)r&   detrend_noner1   detrendrO   rP   rU   tolistr   vstackr   
isinstanceZndarrayr   r   sigr   r   r   test_detrend_noneq   s.       



zTestDetrend.test_detrend_nonec                 C   s   dD ]D}t |dkstt j|dddks0tt j|t jddkstq| t | j| j | t | j| j | t | j| j | j | t | j| j | j| j	  | t | j| j | j | j| j	  d S )N)rK   r^   rK   rQ   r\   )
r&   detrend_meanr1   r`   rZ   rN   rU   rO   rP   rR   rd   r   r   r   test_detrend_mean   s     

zTestDetrend.test_detrend_meanc                 C   sh   | j | j | j }| j | j }| tj|dd| | t| | | tj| dd| d S Nr   r6   )rU   rP   rO   rR   rZ   r&   rg   ra   r   inputtargetr   r   r   4test_detrend_mean_1d_base_slope_off_list_andor_axis0   s
    z@TestDetrend.test_detrend_mean_1d_base_slope_off_list_andor_axis0c                 C   s  t | j| j| j g}t | j| jg}| t|| | tj|d d| | tj|jd dj| | t	|| | tj	|d d| | tj	|jdd d|j t | j| j| j | j| j
 | j| j | j
 g}t | j| j| j| j | j| j g}| tj|jdd|j | tj|dd| | tj|dd| | tj	|ddd| | tj	|jddd|j | tj	|jtjdd|j d S )	Nr6   Zconstantr]   r   r   r   defaultrQ   )r   rb   rO   rU   rN   rZ   r&   rg   r   r`   rP   rR   rj   r   r   r   test_detrend_mean_2d   sD    
 



 z TestDetrend.test_detrend_mean_2dc              
   C   s   | j tj ddif| j tj ddifdddif| j ddif| j tj ddiffD ],\}}tt tj|f| W 5 Q R X qPd S )	Nr]   spamr!   r^   r   r   r   r*   )rP   r   r7   r#   r$   r%   r&   r`   r   signalkwargsr   r   r   test_detrend_ValueError   s    
z#TestDetrend.test_detrend_ValueErrorc              
   C   s^   dddif| j ddif| j tj ddiffD ],\}}tt tj|f| W 5 Q R X q,d S )Nr^   r   r   r   r*   )rP   r   r7   r#   r$   r%   r&   rg   rs   r   r   r   test_detrend_mean_ValueError   s    
z(TestDetrend.test_detrend_mean_ValueErrorc                 C   s   t ddkstt ddks$tt jddddks:tt jdt jddksRt| j| j| j| j fD ]}| t || j qhd S )NrK   r^   linearr\   )r&   detrend_linearr1   r`   rO   rP   rZ   rN   rd   r   r   r   test_detrend_linear   s    
zTestDetrend.test_detrend_linearc                 C   sZ   | j | j }| j}| tj|dd| | tj|tjd| | t| | d S )Nrx   r\   )rP   rO   rN   rZ   r&   r`   ry   ra   rj   r   r   r   test_detrend_str_linear_1d   s
    z&TestDetrend.test_detrend_str_linear_1dc              	   C   s   t | j| j| j| j g}t | j| j| jg}| tj|jddd|j | tj|jtj	dd|j | tj|ddd| | tj|tj	dd| t
t t	| jt j  W 5 Q R X d S )Nrx   r   rn   r   )r   rb   rO   rP   rN   rZ   r&   r`   r   ry   r#   r$   r%   r7   rj   r   r   r   test_detrend_linear_2d   s4    
    z"TestDetrend.test_detrend_linear_2dN)r=   r>   r?   rV   rZ   rf   rh   rm   rq   rv   rw   rz   r{   r|   r   r   r   r   rJ   ^   s   	rJ   	iscomplexFTrealcomplexclass)r    scopesidesonesidedZtwosidedrp   )r   zFfstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrumro      r!   r      i         !   i     r4   ZnosigZFs4ZFsAllZnosig_noNFFTZnosig_nopad_toZnosig_noNFFT_no_pad_toZ
nosig_trimZ	nosig_oddZnosig_oddlenZnosig_stretchZnosig_overlapc                   @   s  e Zd Zejddddd Zdd Zdd	 Zd
d Zej	
dddgdd Zej	
ddddgdd Zdd Zdd Zdd Zej	
dejejfejdfejejfejdfgd d! Zd"d# Zd$d% Zd&d' Zd(d) Zej	
d*d+d,d-d.gd/d0 Zej	
d1i ddiddidd,idd+idd-idd.igd2d3 Zd4d5 Zd6d7 Zej	
dddgd8d9 Zej	
d:d,ej fd-ej!fd.d;d< fgd=d> Z"d?d@ Z#dAS )BTestSpectralr   T)r   Zautousec
           $         s  d t ddd  }
|d k	r*|
d | }
 fdd|D }|d krJd}n|dk r\d }}n|}|d krnd}n|dk r|d	  }}n|}|d kr|}n*|dk rtd	t t | }|}n|}|	d krt|
}n|	dk rt|
 }}	n|	}|	d kr| }}nt|
 }}d}|}|}|}|}|}|d
ks<|dkr|s|d	 rht jd d	 |ddd d d	 }nt jd d	 |d	 d d}|d	 rt jd d	 |ddd d d	 }nt jd d	 |d	 d d}n|d	 rt j  d	  d	 d	| dddd d	 }nt j  d	  d	 |dd}|d	 rVt j  d	  d	 d	| dddd d	 }nt j  d	  d	 |dd}|}|d	 }t|
|d	  d }|| }|
||| }|d	 r|d  d	 7 }t|dkrt |d	   g}t |d	   g}|}t |
} t	|D ].\}!}"| t 
|"|
 t j d	 d|!  7 } q|rN| d} |j}# |#_||#_||#_||#_||#_||#_||#_||#_|	|#_||#_||#_||#_||#_||#_||#_| |#_||#_||#_||#_ ||#_!d S )NrL   r   r   r   c                    s   g | ]} | qS r   r   ).0fstimFsr   r   
<listcomp>#  s     z%TestSpectral.stim.<locals>.<listcomp>r   r0   r*   r   rp   F)numZendpointr   r   )"r   r   intceillog2r   rM   array
zeros_like	enumeraterS   rT   Zastypeclsr   r   fstimsNFFT_densitynover_densitypad_to_densityNFFT_spectrumnover_spectrumpad_to_spectrumNFFT_specgramnover_specgrampad_to_specgram
t_specgram	t_density
t_spectrumr
   freqs_densityfreqs_spectrumfreqs_specgramNFFT_density_real)$r   requestr   r}   r   Zlen_xr   r   r   r   r	   r   Znover_density_realZpad_to_density_realZpad_to_spectrum_realZNFFT_spectrum_realr   r   r   r   r   ZNFFT_specgram_realZnover_specgram_realr   r   r   Zt_startZt_stopZt_stepr   r   r   r
   r   r   r   r   r   r   stim  s    










(
zTestSpectral.stimc                 C   s   |  dkst| t|d ks(tt||dd |D ]F}t||   }|| ||d  ksht|| ||d  ks:tq:d S )Nr   r   ư>rW   r*   )argminr1   argmaxr   r   r   abs)r   valsZ	targfreqsZresfreqsr   r   r   r   r   r   check_freqs  s    zTestSpectral.check_freqsc           
      C   s   t |dkrd S | dk rnt|}| }| |d | |d | | | ||d  ||d  | d S |d d  }| }|r| }|| }	t|	|d  |d= d||d |d < qd S )Nr   ro   r!   )	r   minr   r   r   check_maxfreqcopyr   r   )
r   specfspr   fspaZzeroindZfstimstZspectZmaxindZmaxfreqr   r   r   r     s     
zTestSpectral.check_maxfreqc                 C   s   | j d dd| j d dd| j d dd| j d ddddi| j d	d
| j dddddd| j dtddf	D ]0}tt tjf d| j i| W 5 Q R X qrd S )Nr   r   )r
   mode	magnitudeanglephaser   rr   eggs)r
   r   r      )r
   r   r   )r   r   	   )r
   r   windowr	   )r
   r   rF   r#   r$   r%   r&   _spectral_helper)r   ru   r   r   r   test_spectral_helper_raises  s    
z(TestSpectral.test_spectral_helper_raisesr   rp   psdc              	   C   s*   t t tj| j|d W 5 Q R X d S )N)r	   r   )r#   r$   r%   r&   Z_single_spectrum_helperr
   )r   r   r   r   r   -test_single_spectrum_helper_unsupported_modes  s    z:TestSpectral.test_single_spectrum_helper_unsupported_modesz
mode, case)r   Zdensity)r   specgram)r   Zspectrumc              
   C   s   t | d| }tj| j| jt | d| | jt | d| t | d| | j|d\}}}t||dd t|t | d| dd |jd	 |jd	 kst|jd
 t | d| jd	 kstd S )NZfreqs_ZNFFT_Znover_Zpad_to_)r	   r
   r   r   r   pad_tor   r   r   r   Zt_r   r   )	getattrr&   r   r
   r   r   r   r   r1   )r   r   Zcasefreqsr   r   tr   r   r   test_spectral_helper_psd  s     	z%TestSpectral.test_spectral_helper_psdc              	   C   sV   | j }tj| j| jd | j| j| j| j| jd\}}t	||dd |j
|j
ksRtd S )Nr   r	   r
   r   r   r   r   r   r   r   )r   r&   csdr
   r   r   r   r   r   r   r   r1   r   r   r   r   r   r   r   test_csd  s    
zTestSpectral.test_csdc                 C   s   | j dkrdS t| j| jd | jtj| jd}tjf d| j i|\}}tjf d| j d i|\}}tt	
t	|| jt	
t	|d | d j dS )zTest zero padding of csd().Nr   )r	   r
   r   r   r   r   r*   )r   dictr
   r   r&   rG   r   r   r   r   sum	conjugater~   )r   ZsargsZspec0_Zspec1r   r   r   test_csd_padding  s    
zTestSpectral.test_csd_paddingc                 C   sR   | j }tj| j| j| j| j| j| jd\}}|j	|j	ks<t
| |||| j d S )Nr	   r   r   r   r   r   )r   r&   r   r
   r   r   r   r   r   r   r1   r   r   r   r   r   r   test_psd  s    
zTestSpectral.test_psdzmake_data, detrendrQ   rx   c              	   C   s  | j d krd S || j }|d }|d }t||g}t|d}|j }| }t|}tj|| j | j	d| j
|d\}}	tj|| j | j	d| j
|d\}
}tj|| j | j	d| j
d\}}t|	| t|| t||dd tt t|
|dd W 5 Q R X d S )	Nr!   ffffff
@r   r   r   )r	   r   r   r   r   r`   )r	   r   r   r   r   rX   r   )r   r   rb   r8   r   r9   r   r&   r   r   r   r   r   r#   r$   r1   )r   Z	make_datar`   ydataydata1ydata2ydatabycontrolspec_gfsp_gspec_bfsp_bspec_cfsp_cr   r   r   test_psd_detrend  sF    








zTestSpectral.test_psd_detrendc              	   C   sh  | j d krd S t| j }|d }|d }tt|}|| }t|}t||g}t||g}t|d}t|d}|j	 }|	 }	|	 }tj
|	| j | jd| jtjd\}
}tj
|| j | jd| jtjd\}}tj
|| j | jd| jtjd\}}|t|t|d   9 }t|| t|| t|
|dd tt t||dd W 5 Q R X d S )	Nr!   r   r   r   r	   r   r   r   r   r   r*   rX   r   )r   r   r   r&   rH   	ones_likerb   r8   r   r9   r   r   r   rG   r   r   r   r   r   r#   r$   r1   )r   r   r   r   
windowVals	ycontrol1	ycontrol2r   r   ydatafr   r   r   r   r   r   r   r   r   test_psd_window_hanningC  sT    







z$TestSpectral.test_psd_window_hanningc              	   C   s  | j d krd S t| j }t| j }|d }|d }|}|}tt|}|| }t|}t||g}t||g}t|d}t|d}|j	
 }|
 }	|
 }tj|	| j | jd| jtjtjd\}
}tj|| j | jd| jtjtjd\}}tj|| j | jd| jtjd\}}|t|t|d   9 }t|| t|| t|
|dd	 tt t||dd	 W 5 Q R X d S )
Nr!   r   r   r   )r	   r   r   r   r   r`   r   r   r*   rX   r   )r   r   r   r   r&   rH   r   rb   r8   r   r9   r   r   r   ry   rG   r   r   r   r   r   r#   r$   r1   )r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   &test_psd_window_hanning_detrend_linearm  s^    







z3TestSpectral.test_psd_window_hanning_detrend_linearc              
   C   sX   | j }tj| j| j| j| j| j| jt	
| jd\}}t||dd |j|jksTtd S )Nr	   r   r   r   r   r   r   r   r   )r   r&   r   r
   r   r   r   r   r   r   rF   r   r   r   r1   r   r   r   r   test_psd_windowarray  s    

z!TestSpectral.test_psd_windowarrayc              
   C   s   t t| j}t j| j| j| j| j	| j
| jt jd\}}t j| j| j| j| j	| j
| jt jdd\}}t j| j| j| j| j	| j
| jt jdd\}}t|| t|| t|| t||d   || j | d  dd d S )Nr   T)r	   r   r   r   r   r   r   scale_by_freqFr*   rX   r   )r&   rH   r   rF   r   r   r
   r   r   r   r   r   r   r   r   )r   winr   r   Zspec_sZfsp_sZspec_nZfsp_nr   r   r   "test_psd_windowarray_scale_by_freq  sD    





z/TestSpectral.test_psd_windowarray_scale_by_freqkindr   r   r   r   c                 C   sz   | j }tt| d| j| j| j| jd\}}t||dd |j|jksLt	|dkrv| 
||| j | |||| j d S )NZ	_spectrum)r	   r   r   r   r   r   r   )r   r   r&   r
   r   r   r   r   r   r1   r   r   r   )r   r   r   r   r   r   r   r   test_spectrum  s      
zTestSpectral.test_spectrumru   c              	   C   s  | j }tjf | j| j| j| j| j| jd|\}}}|	ddkrNt
|}t
j|dd}t||dd t|| jdd |jd |jd kst|jd | jjd kst|	dd	krt
| dkrtt
j|dd t
|  dd
d |	ddkr| |||| j d S )Nr   r   r   r   r6   r   r   r   )r   r   r   g{Gz?)r   r   )r   r&   r   r
   r   r   r   r   r   getr   r   rQ   r   r   r   r1   maxZdiffr   r   )r   ru   r   r   r   r   specmr   r   r   test_specgram  s4    

 zTestSpectral.test_specgramc              	   C   s8   t jtdd  tj| jt| j| jd W 5 Q R X dS )z+Warning should be raised if len(x) <= NFFT.zOnly one segment is calculated)match)r	   r   r   N)r#   ZwarnsUserWarningr&   r   r
   r   r   r   r   r   r   test_specgram_warn_only1seg  s    z(TestSpectral.test_specgram_warn_only1segc              	   C   sh   t j| j| j| j| j| j| jd\}}t j| j| j| j| j| j| j| jd\}}t	|| t
|| d S )Nr   r   )r&   r   r
   r   r   r   r   r   r   r   r   )r   ZPxxZfreqsxxZPxyZfreqsxyr   r   r   test_psd_csd_equal  s     


zTestSpectral.test_psd_csd_equalc              	   C   st   t j| j| j| j| j| j| jd\}}}t j| j| j| j| j| j| j|d\}}}t|| t|| t|| dS )zr
        Test that mlab.specgram without mode and with mode 'default' and 'psd'
        are all the same.
        r   r	   r   r   r   r   r   r   N)	r&   r   r
   r   r   r   r   r   r   )r   r   specaZ	freqspecataspecbZ	freqspecbtbr   r   r   $test_specgram_auto_default_psd_equal  s$    

z1TestSpectral.test_specgram_auto_default_psd_equalz
mode, convc                 C   s   t jt | ddS ri   )r   unwrapr   r	   r   r   r   <lambda>&      zTestSpectral.<lambda>c           	   	   C   s~   t j| j| j| j| j| j| jdd\}}}t j| j| j| j| j| j| j|d\}}}t|| t|| t	|||dd d S )Nr   r   r   r   )
r&   r   r
   r   r   r   r   r   r   r   )	r   r   convZspeccZ	freqspeccZtcr   Z	freqspecmtmr   r   r    test_specgram_complex_equivalent"  s&    

z-TestSpectral.test_specgram_complex_equivalentc              	   C   s|   t t| j}t j| j| j| j| j	| j
| j|d\}}t j| j| j| j| j	| j
| jd\}}t|| t||dd d S )Nr   r   rX   r   )r&   rH   r   rF   r   r   r
   r   r   r   r   r   r   r   )r   r   r   r   r   Zfspbr   r   r   test_psd_windowarray_equal<  s$    


z'TestSpectral.test_psd_windowarray_equalN)$r=   r>   r?   r#   Zfixturer   r   r   r   r@   rA   r   r   r   r   r   r   r   r&   rg   r   ry   r   r   r   r   r   r   r   r   r   r  r   r   r  r	  r   r   r   r   r      sp   "
 	


 
#*/! 

  



r   c                  C   s   d} t jd t j| }t |d}t j|t dd dd}tj||ddd	d
\}}t	t 
|ddd t t 
|std S )Nr   i!N,r   g      4@Zsame)r   r   r*   r   )r   r   r   gbX9?gMbP?r   )r   rC   rD   randnZrollZconvolverF   r&   Zcoherer   rQ   Zisrealr1   )Nr	   r
   Zcohsqfr   r   r   test_cohereP  s    r  c                   @   s$   e Zd Zdd Zdd Zdd ZdS )TestGaussianKDEc                 C   s<   t d}t|}dddddg}t jj|||dd dS )zRegression test for #1181.r!   gB\A?gES?g
f?   decimalN)r   r   r&   GaussianKDEtestingassert_array_almost_equal)r   r:   kde
y_expectedr   r   r   test_kde_integer_inpute  s    

z&TestGaussianKDE.test_kde_integer_inputc                 C   s`   t jdddddgtd}t jdddd	}d
ddddg}t|d}||}t jj||dd d S )Nr   r   r!   )Zdtypeir   r   g>L\9?gp4=?gH꟫?g8(H	MT?gĲCR?scott   r  )r   r   floatrM   r&   r  r  r  )r   r:   xsr  Zkde2y2r   r   r   $test_gaussian_kde_covariance_cachingm  s    z4TestGaussianKDE.test_gaussian_kde_covariance_cachingc           
      C   s   t jd d}t j|}t|}t|d}tj||jd}t ddd}||}||}|	 |	 ksxt
||}	|	 |		 kst
d S )N 2   r  Z	bw_methodr  r  3   )r   rC   rD   r
  r&   r  ZfactorrM   evaluateallr1   )
r   n_basesampleZxnZgkdeZgkde2Zgkde3r  ZkdepdfZkdepdf2Zkdepdf3r   r   r   test_kde_bandwidth_method{  s    



z)TestGaussianKDE.test_kde_bandwidth_methodN)r=   r>   r?   r  r  r'  r   r   r   r   r  c  s   r  c                   @   sd   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S )TestGaussianKDECustomc              	   C   s$   t t tg  W 5 Q R X dS )z(Pass no data into the GaussianKDE class.Nr#   r$   r%   r&   r  r   r   r   r   test_no_data  s    z"TestGaussianKDECustom.test_no_datac              	   C   s&   t t tdg W 5 Q R X dS )z9Pass a single dataset element into the GaussianKDE class.*   Nr)  r   r   r   r   test_single_dataset_element  s    z1TestGaussianKDECustom.test_single_dataset_elementc              	   C   sL   t dddgdddgddd	gg}tt jj t|d
 W 5 Q R X dS )z/Test silverman's for a multi-dimensional array.r   r*   r+   r   r!   r  r     r   	silvermanNr   r   r#   r$   ZlinalgZLinAlgErrorr&   r  r   r:   r   r   r   test_silverman_multidim_dataset  s    "z5TestGaussianKDECustom.test_silverman_multidim_datasetc                 C   s8   t dddddg}t|d}d}t| |d d	S )
z4Test silverman's output for a single dimension list.r  r  r   r   r!   r.  g/?r  Nr   r   r&   r  r   covariance_factorr   r:   Zmygaussr  r   r   r    test_silverman_singledim_dataset  s    z6TestGaussianKDECustom.test_silverman_singledim_datasetc              	   C   sL   t dddgdddgddd	gg}tt jj t|d
 W 5 Q R X dS )z2Test scott's output for a multi-dimensional array.r   r*   r+   r   r!   r  r  r-  r   r  Nr/  r0  r   r   r   test_scott_multidim_dataset  s    "z1TestGaussianKDECustom.test_scott_multidim_datasetc                 C   s8   t dddddg}t|d}d}t| |d d	S )
z/Test scott's output a single-dimensional array.r  r  r   r   r!   r  g	e1?r  Nr2  r4  r   r   r   test_scott_singledim_dataset  s    z2TestGaussianKDECustom.test_scott_singledim_datasetc              	   C   s(   t t tjg dd W 5 Q R X dS )z0Test the scalar's cov factor for an empty array.r!   r"  Nr)  r   r   r   r   test_scalar_empty_dataset  s    z/TestGaussianKDECustom.test_scalar_empty_datasetc                    sH   t jd d  fddtdD }tj|dd}| dksDtdS )	zTest a scalar's cov factor.r   r!  c                    s   g | ]}t j qS r   r   rC   r
  r   r   r&  r   r   r     s     zHTestGaussianKDECustom.test_scalar_covariance_dataset.<locals>.<listcomp>r!   g      ?r"  Nr   rC   rD   r   r&   r  r3  r1   )r   multidim_datar  r   r;  r   test_scalar_covariance_dataset  s
    z4TestGaussianKDECustom.test_scalar_covariance_datasetc                    sP   t jd d  fddtdD }dd }tj||d}| d	ksLtd
S )z=Test the callable's cov factor for a multi-dimensional array.r   r!  c                    s   g | ]}t j qS r   r9  r:  r;  r   r   r     s     zJTestGaussianKDECustom.test_callable_covariance_dataset.<locals>.<listcomp>r!   c                 S   s   dS )N皙?r   r  r   r   r   callable_fun  s    zLTestGaussianKDECustom.test_callable_covariance_dataset.<locals>.callable_funr"  r?  Nr<  )r   r=  r@  r  r   r;  r    test_callable_covariance_dataset  s    z6TestGaussianKDECustom.test_callable_covariance_datasetc                 C   sB   t jd d}t j|}tj|dd}d}t| |d dS )z>Test the callable's cov factor for a single-dimensional array.r   r!  r.  r"  g}B8 ?r  N)r   rC   rD   r
  r&   r  r   r3  )r   r&  r=  r  r  r   r   r   test_callable_singledim_dataset  s    z5TestGaussianKDECustom.test_callable_singledim_datasetc              	   C   sD   t jd d}t j|}tt tj|dd W 5 Q R X dS )z@Test the error message that should be called when bw is invalid.r   r!  invalidr"  N)	r   rC   rD   r
  r#   r$   r%   r&   r  )r   r&  datar   r   r   test_wrong_bw_method  s
    z*TestGaussianKDECustom.test_wrong_bw_methodN)r=   r>   r?   r*  r,  r1  r5  r6  r7  r8  r>  rA  rB  rE  r   r   r   r   r(    s   	
r(  c                   @   s4   e Zd Zdd Zdd Zdd Zdd Zd	d
 ZdS )TestGaussianKDEEvaluatec                 C   sR   t ddd}t|}t ddd}dddddg}||}t j||d d	S )
zr
        Test the evaluate method when the dim's of dataset and points have
        different dimensions.
        r+   r   r*      X]?AG$?g;]?r  Nr   r   r&   r  r$  r  r  )r   r:   r  r;   r  r
   r   r   r   test_evaluate_diff_dim  s    
    
z.TestGaussianKDEEvaluate.test_evaluate_diff_dimc              	   C   sZ   t jd d}t j|}t|}dgdgdgg}tt |	| W 5 Q R X dS )z
        Invert the dimensions; i.e., for a dataset of dimension 1 [3, 2, 4],
        the points should have a dimension of 3 [[3], [2], [4]].
        r   r!  r   r*   r+   N)
r   rC   rD   r
  r&   r  r#   r$   r%   r$  )r   r&  r=  r  r;   r   r   r   test_evaluate_inv_dim  s    
z-TestGaussianKDEEvaluate.test_evaluate_inv_dimc                 C   sH   t ddd}t dg}t|}dg}||}t j||d dS )z-Tests if evaluated against a one by one arrayr+   r   r*   rH  r  N)r   r   r   r&   r  r$  r  r  r   r:   r;   r  r  r
   r   r   r   test_evaluate_dim_and_num  s    

z1TestGaussianKDEEvaluate.test_evaluate_dim_and_numc              	   C   sX   t ddd}t dddt dddg}t|}tt || W 5 Q R X d S )Nr+   r   r*   )r   r   r&   r  r#   r$   r%   r$  )r   r:   r;   r  r   r   r   test_evaluate_point_dim_not_one  s
    
z7TestGaussianKDEEvaluate.test_evaluate_point_dim_not_onec                 C   sN   t ddd}t ddd}t|}dddg}||}t j||d d S )Nr+   r   r*   r-  rH  rI  r  rJ  rM  r   r   r   "test_evaluate_equal_dim_and_num_lt  s    


z:TestGaussianKDEEvaluate.test_evaluate_equal_dim_and_num_ltN)r=   r>   r?   rK  rL  rN  rO  rP  r   r   r   r   rF    s
   	rF  c                  C   s   t dddddddg} d}t t j| | d || j  }tj| | jd| tjtjdd d dd	\}}t 	|d g|dd |dd  d d d	  }t
||d
d d S )Nr   r   r*   r+         ?r   r   r   r   r`   r   r   r   r   r   ro   r   r   )r   r   r   fftsizer&   r   rG   r_   appendr   udtZSuPr  ZSu_1sider   r   r   test_psd_onesided_norm  s    $  
0rZ  c                  C   s   t dddddddg} d}t t j| | d || j  }tj| | jd d| tjtjddddd	\}}t 	|d g|dd	 |d	d ddd
  }t
t |t | dS )z&Test the case len(x) < NFFT for psd().r   r   r*   r+   rQ  Nr   rR  r   ro   )r   r   r   rS  rT  r&   r   rG   r_   rU  r   r   rV  r   r   r   test_psd_oversampling#  s    $  
0r[  )Znumpy.testingr   r   r   r   Znumpyr   r#   Zmatplotlib.mlabr&   r   rI   rJ   r@   rA   r   r  r  r(  rF  rZ  r[  r   r   r   r   <module>   sj   J      <-Q6