a
    ضa                     @   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g dddejjdg dddddfdgdddddfg d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g dddG d d! d!Zd"d# ZG d$d% d%ZG d&d' d'ZG d(d) d)Zd*d+ Zd,d- ZdS ).    )assert_allcloseassert_almost_equalassert_array_equalassert_array_almost_equal_nulpNc                   @   s   e Zd Zdd ZdddZejjdddgd	d
gddd Zejjdg dg dddd Z	ejjdddgddgdejjdg dg dddd Z
ejjdddgddgddd ZdS )
TestStridec                 C   s   |}|j d ur|j }q|S )N)base)selfxy r   j/Users/vegardjervell/Documents/master/model/venv/lib/python3.9/site-packages/matplotlib/tests/test_mlab.pyget_base
   s    
zTestStride.get_baser   c           
      C   s|   || }t dt|| d |}t|}t ||f}t|D ](}	|||	 ||	 |  |dd|	f< q@|dkrx|j}|S )z
        This is an adaptation of the original window extraction algorithm.
        This is here to test to make sure the new implementation has the same
        result.
        r      N)nparangelenzerosrangeT)
r   r	   NFFTnoverlapaxisstepindnresultir   r   r   calc_window_target   s    &zTestStride.calc_window_targetshaper   )
   r   Z0DZ2D)idsc                 C   sP   t t ||}tt t|d W d    n1 sB0    Y  d S )N   )	r   r   prodZreshapepytestraises
ValueErrormlabstride_windows)r   r   r	   r   r   r   'test_stride_windows_invalid_input_shape"   s    z2TestStride.test_stride_windows_invalid_input_shapezn, noverlap))r   N)   N)   r*   )r*      )zn less than 1zn greater than inputznoverlap greater than nznoverlap equal to nc                 C   sF   t d}tt t||| W d    n1 s80    Y  d S )Nr   )r   r   r#   r$   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sbJ t|| t||jks~J | ||u sJ d S )Nd   )r   r   r   r   )	r   r   r&   r'   r   r   r   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sVJ t	|| d S )N    )   r   r   r   )
r   r   newaxistileflattenr&   r'   r   r   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,   r2   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randrE   r   r   r   test_windowS   s    
rH   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   rA           r0         Y@g      $g     V@r*   )r   rB   rC   linspacer   	sig_zerossig_off	sig_slopemeansig_slope_meanrD   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J t jddddks(J t jddddks>J t jdt jddksVJ 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sJ qd S )NrJ   r   r5   nonekey      @)r&   detrend_nonedetrendrN   rO   rT   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J t j|dddks0J t j|t jddksJ 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)rJ   r]   rJ   rP   r[   )	r&   detrend_meanr_   rY   rM   rT   rN   rO   rQ   rc   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   r5   )rT   rO   rN   rQ   rY   r&   rf   r`   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 )	Nr5   Zconstantr\   r   r   r   defaultrP   )r   ra   rN   rT   rM   rY   r&   rf   r   r_   rO   rQ   ri   r   r   r   test_detrend_mean_2d   s@    




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 ]D\}}tt" tj|fi | W d    qP1 s0    Y  qPd S )	Nr\   spamr!   r]   r   r   r   r*   )rO   r   r6   r#   r$   r%   r&   r_   r   signalkwargsr   r   r   test_detrend_ValueError   s    
z#TestDetrend.test_detrend_ValueErrorc              	   C   sv   dddif| j ddif| j tj ddiffD ]D\}}tt" tj|fi | W d    q,1 sf0    Y  q,d S )Nr]   r   r   r   r*   )rO   r   r6   r#   r$   r%   r&   rf   rr   r   r   r   test_detrend_mean_ValueError   s    
z(TestDetrend.test_detrend_mean_ValueErrorc                 C   s   t ddksJ t ddks$J t jddddks:J t jdt jddksRJ | j| j| j| j fD ]}| t || j qhd S )NrJ   r]   linearr[   )r&   detrend_linearr_   rN   rO   rY   rM   rc   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 )Nrw   r[   )rO   rN   rM   rY   r&   r_   rx   r`   ri   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 d    n1 s0    Y  d S )Nrw   r   rm   r   )r   ra   rN   rO   rM   rY   r&   r_   r   rx   r#   r$   r%   r6   ri   r   r   r   test_detrend_linear_2d   s,    
z"TestDetrend.test_detrend_linear_2dN)r<   r=   r>   rU   rY   re   rg   rl   rp   ru   rv   ry   rz   r{   r   r   r   r   rI   ^   s   	rI   	iscomplexFTrealcomplexclass)r    scopesides)onesidedZtwosidedro   )r   zFfstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrumrn      )r   r!   r      i         !   i     r3   )ZnosigZFs4ZFsAllZnosig_noNFFTZnosig_nopad_toZnosig_noNFFT_no_pad_toZ
nosig_trimZ	nosig_oddZnosig_oddlenZnosig_stretchZnosig_overlapc                   @   s  e Zd Zejddddd Zdd Zdd	 Zd
d Zej	
dddgdd Zej	
dg ddd Zdd Zdd Zdd Zej	
dejejfejdfejejfejdfgdd Zd d! Zd"d# Zd$d% Zd&d' Zej	
d(g d)d*d+ Zej	
d,i ddiddidd-idd.idd/idd0igd1d2 Zd3d4 Zd5d6 Zej	
dddgd7d8 Zej	
d9d-ej fd/ej!fd0d:d; fgd<d= Z"d>d? Z#d@S )ATestSpectralr   T)r   Zautousec
           $         s  d t ddd  }
|d ur*|
d | }
 fdd|D }|d u rJd}n|dk r\d }}n|}|d u rnd}n|dk r|d	  }}n|}|d u r|}n*|dk rtd	t t | }|}n|}|	d u rt|
}n|	dk rt|
 }}	n|	}|	d u r| }}nt|
 }}d}|}|}|}|}|}|d
ks<|dkr|s|d	 rht jd d	 |ddd d d	 }nt jd d	 |d	 d d}|d	 rt jd d	 |ddd d d	 }nt jd d	 |d	 d d}n|d	 rt j  d	  d	 d	| dddd d	 }nt j  d	  d	 |dd}|d	 rVt j  d	  d	 d	| dddd d	 }nt j  d	  d	 |dd}|}|d	 }t|
|d	  d }|| }|
||| }|d	 r|d  d	 7 }t|dkrt |d	   g}t |d	   g}|}t |
} t	|D ].\}!}"| t 
|"|
 t j d	 d|!  7 } q|rN| d} |j}# |#_||#_||#_||#_||#_||#_||#_||#_|	|#_||#_||#_||#_||#_||#_||#_| |#_||#_||#_||#_ ||#_!d S )NrK   r   r   r   c                    s   g | ]} | qS r   r   ).0fstimFsr   r   
<listcomp>#      z%TestSpectral.stim.<locals>.<listcomp>r   r0   r*   r   ro   F)numZendpointr   r~   )"r   r   intceillog2r   rL   array
zeros_like	enumeraterR   rS   Zastypeclsr   r   fstimsNFFT_densitynover_densitypad_to_densityNFFT_spectrumnover_spectrumpad_to_spectrumNFFT_specgramnover_specgrampad_to_specgram
t_specgram	t_density
t_spectrumr
   freqs_densityfreqs_spectrumfreqs_specgramNFFT_density_real)$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J | t|d ks(J t||dd |D ]F}t||   }|| ||d  kshJ || ||d  ks:J q:d S )Nr   r   ư>rV   r*   )argmin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   rn   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 ]D}tt& tjf d| j i| W d    qr1 s0    Y  qrd S )Nr   r~   )r
   mode	magnitudeanglephaser   rq   eggs)r
   r   r      )r
   r   r   )r   r   	   )r
   r   windowr	   )r
   r   rE   r#   r$   r%   r&   _spectral_helper)r   rt   r   r   r   test_spectral_helper_raises  s    
z(TestSpectral.test_spectral_helper_raisesr   ro   psdc                 C   s>   t t  tj| j|d W d    n1 s00    Y  d S )N)r	   r   )r#   r$   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sJ |jd
 t | d| jd	 ksJ 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   )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sRJ d S )Nr   r	   r
   r   r   r   r   r   r   r   )r   r&   csdr
   r   r   r   r   r   r   r   r   r   r   r   r   r   r   test_csd  s    
zTestSpectral.test_csdc                 C   s   | j du 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&   rF   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<J | 
|||| j d S )Nr	   r   r   r   r   r   )r   r&   r   r
   r   r   r   r   r   r   r   r   r   r   r   r   test_psd  s    
zTestSpectral.test_psdzmake_data, detrendrP   rw   c                 C   s  | j d u 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 d    n1 s0    Y  d S )	Nr!   ffffff
@r   r   r   )r	   r   r   r   r   r_   )r	   r   r   r   r   rW   r   )r   r   ra   r7   r   r8   r   r&   r   r   r   r   r   r#   r$   AssertionError)r   Z	make_datar_   ydataydata1ydata2ydatabycontrolspec_gfsp_gspec_bfsp_bspec_cfsp_cr   r   r   test_psd_detrend  sF    








zTestSpectral.test_psd_detrendc                 C   s~  | j d u rd S t| j }|d }|d }tt|}|| }t|}t||g}t||g}t|d}t|d}|j	 }|	 }	|	 }tj
|	| j | jd| jtjd\}
}tj
|| j | jd| jtjd\}}tj
|| j | jd| jtjd\}}|t|t|d   9 }t|| t|| t|
|dd tt t||dd W d    n1 sp0    Y  d S )	Nr!   r   r   r   r	   r   r   r   r   r   r*   rW   r   )r   r   r   r&   rG   	ones_likera   r7   r   r8   r   r   r   rF   r   r   r   r   r   r#   r$   r   )r   r   r   r   
windowVals	ycontrol1	ycontrol2r   r   ydatafr   r   r   r   r   r   r   r   r   test_psd_window_hanningC  sT    







z$TestSpectral.test_psd_window_hanningc              	   C   s  | j d u rd S t| j }t| j }|d }|d }|}|}tt|}|| }t|}t||g}t||g}t|d}t|d}|j	
 }|
 }	|
 }tj|	| j | jd| jtjtjd\}
}tj|| j | jd| jtjtjd\}}tj|| j | jd| jtjd\}}|t|t|d   9 }t|| t|| t|
|dd	 tt t||dd	 W d    n1 s0    Y  d S )
Nr!   r   r   r   )r	   r   r   r   r   r_   r   r   r*   rW   r   )r   r   r   r   r&   rG   r   ra   r7   r   r8   r   r   r   rx   rF   r   r   r   r   r   r#   r$   r   )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sTJ d S )Nr	   r   r   r   r   r   r   r   r   )r   r&   r   r
   r   r   r   r   r   r   rE   r   r   r   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*   rW   r   )r&   rG   r   rE   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kind)r~   r   r   r   c                 C   sz   | j }tt| d| j| j| j| jd\}}t||dd |j|jksLJ |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   r   r   r   )r   r   r   r   r   r   r   r   test_spectrum  s    
zTestSpectral.test_spectrumrt   r   r~   r   r   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sJ |jd | jjd ksJ |	dd	vrt
| dkrtt
j|dd t
|  dd
d |	ddvr| |||| j d S )Nr   r   r~   r   r5   r   r   r   )r~   r   r   g{Gz?)r   r   )r   r&   r   r
   r   r   r   r   r   getr   r   rP   r   r   r   maxdiffr   r   )r   rt   r   r   r   r   specmr   r   r   test_specgram  s2    

 zTestSpectral.test_specgramc                 C   sL   t jtdd* tj| jt| j| jd W d   n1 s>0    Y  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 rh   )r   unwrapr   r	   r   r   r   <lambda>&  r   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   rW   r   )r&   rG   r   rE   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?   r@   r   r   r   r   r   r   r   r&   rf   r   rx   r   r   r   r   r   r   r   r   r   r  r   r   r	  r
  r   r   r   r   r      s`   "
 	


#*/!




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 
|sJ d S )Nr   i!N,r   g      4@Zsame)r   r   r*   r   )r   r   r   gbX9?gMbP?r   )r   rB   rC   randnZrollZconvolverE   r&   Zcoherer   rP   Zisreal)Nr	   r
   Zcohsqfr   r   r   test_cohereP  s    r  c                   @   s$   e Zd Zdd Zdd Zdd ZdS )TestGaussianKDEc                 C   s6   t d}t|}g d}t jj|||dd dS )zRegression test for #1181.r!   )B\A?筱ES?g
f?r  r     decimalN)r   r   r&   GaussianKDEtestingassert_array_almost_equal)r   r9   kde
y_expectedr   r   r   test_kde_integer_inpute  s    

z&TestGaussianKDE.test_kde_integer_inputc                 C   sT   t jg dtd}t jdddd}g d}t|d}||}t jj||d	d
 d S )Nr   r   r!   )Zdtypeir   r!   r   )g>L\9?gp4=?gH꟫?g8(H	MT?gĲCR?scott   r  )r   r   floatrL   r&   r  r  r  )r   r9   xsr  Zkde2y2r   r   r   $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sxJ ||}	|	 |		 ksJ d S )N 2   r  Z	bw_methodr  r  3   )
r   rB   rC   r  r&   r  ZfactorrL   evaluateall)
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   s8   t t tg  W d   n1 s*0    Y  dS )z(Pass no data into the GaussianKDE class.Nr#   r$   r%   r&   r  r   r   r   r   test_no_data  s    z"TestGaussianKDECustom.test_no_datac                 C   s:   t t tdg W d   n1 s,0    Y  dS )z9Pass a single dataset element into the GaussianKDE class.*   Nr-  r   r   r   r   test_single_dataset_element  s    z1TestGaussianKDECustom.test_single_dataset_elementc                 C   sZ   t g dg dg dg}tt jj t|d W d   n1 sL0    Y  dS )z/Test silverman's for a multi-dimensional array.r   r*   r+   r   r!   r  r     r   	silvermanNr   r   r#   r$   ZlinalgZLinAlgErrorr&   r  r   r9   r   r   r   test_silverman_multidim_dataset  s    z5TestGaussianKDECustom.test_silverman_multidim_datasetc                 C   s2   t g d}t|d}d}t| |d dS )z4Test silverman's output for a single dimension list.r  r5  g/?r  Nr   r   r&   r  r   covariance_factorr   r9   Zmygaussr  r   r   r    test_silverman_singledim_dataset  s    z6TestGaussianKDECustom.test_silverman_singledim_datasetc                 C   sZ   t g dg dg dg}tt jj t|d W d   n1 sL0    Y  dS )z2Test scott's output for a multi-dimensional array.r1  r2  r3  r  Nr6  r7  r   r   r   test_scott_multidim_dataset  s    z1TestGaussianKDECustom.test_scott_multidim_datasetc                 C   s2   t g d}t|d}d}t| |d dS )z/Test scott's output a single-dimensional array.r  r  g	e1?r  Nr9  r;  r   r   r   test_scott_singledim_dataset  s    z2TestGaussianKDECustom.test_scott_singledim_datasetc                 C   s<   t t tjg dd W d   n1 s.0    Y  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sDJ dS )	zTest a scalar's cov factor.r$  r%  c                    s   g | ]}t j qS r   r   rB   r  r   r   r*  r   r   r     r   zHTestGaussianKDECustom.test_scalar_covariance_dataset.<locals>.<listcomp>r!   g      ?r&  Nr   rB   rC   r   r&   r  r:  )r   multidim_datar  r   rB  r   test_scalar_covariance_dataset  s
    z4TestGaussianKDECustom.test_scalar_covariance_datasetc                    sP   t jd d  fddtdD }dd }tj||d}| d	ksLJ d
S )z=Test the callable's cov factor for a multi-dimensional array.r$  r%  c                    s   g | ]}t j qS r   r@  rA  rB  r   r   r     r   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&  rF  NrC  )r   rD  rG  r  r   rB  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$  r%  r5  r&  g}B8 ?r  N)r   rB   rC   r  r&   r  r   r:  )r   r*  rD  r  r  r   r   r   test_callable_singledim_dataset  s    z5TestGaussianKDECustom.test_callable_singledim_datasetc                 C   sX   t jd d}t j|}tt tj|dd W d   n1 sJ0    Y  dS )z@Test the error message that should be called when bw is invalid.r$  r%  invalidr&  N)	r   rB   rC   r  r#   r$   r%   r&   r  )r   r*  datar   r   r   test_wrong_bw_method  s
    z*TestGaussianKDECustom.test_wrong_bw_methodN)r<   r=   r>   r.  r0  r8  r<  r=  r>  r?  rE  rH  rI  rL  r   r   r   r   r,    s   	
r,  c                   @   s4   e Zd Zdd Zdd Zdd Zdd Zd	d
 ZdS )TestGaussianKDEEvaluatec                 C   sL   t ddd}t|}t ddd}g d}||}t j||d dS )zr
        Test the evaluate method when the dim's of dataset and points have
        different dimensions.
        r+   r   r*      )X]?AG$?rP  rO  g;]?r  Nr   r   r&   r  r(  r  r  )r   r9   r  r:   r  r
   r   r   r   test_evaluate_diff_dim  s    

z.TestGaussianKDEEvaluate.test_evaluate_diff_dimc                 C   sn   t jd d}t j|}t|}dgdgdgg}tt |	| W d   n1 s`0    Y  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$  r%  r   r*   r+   N)
r   rB   rC   r  r&   r  r#   r$   r%   r(  )r   r*  rD  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*   rO  r  N)r   r   r   r&   r  r(  r  r  r   r9   r:   r  r  r
   r   r   r   test_evaluate_dim_and_num  s    

z1TestGaussianKDEEvaluate.test_evaluate_dim_and_numc                 C   sl   t ddd}t dddt dddg}t|}tt || W d    n1 s^0    Y  d S )Nr+   r   r*   )r   r   r&   r  r#   r$   r%   r(  )r   r9   r:   r  r   r   r   test_evaluate_point_dim_not_one  s
    
z7TestGaussianKDEEvaluate.test_evaluate_point_dim_not_onec                 C   sL   t ddd}t ddd}t|}g d}||}t j||d d S )Nr+   r   r*   r4  )rO  rP  rP  r  rQ  rT  r   r   r   "test_evaluate_equal_dim_and_num_lt  s    

z:TestGaussianKDEEvaluate.test_evaluate_equal_dim_and_num_ltN)r<   r=   r>   rR  rS  rU  rV  rW  r   r   r   r   rM    s
   	rM  c                  C   s   t g d} d}t t j| | d || j  }tj| | jd| tjtjdd d dd	\}}t 	|d g|dd |dd  d d d	  }t
||d
d d S )Nr   r   r*   r+   r   r*   r         ?r*   r   r   r   r   r   r   r_   r   r   r   r   r   rn   r   r   )r   r   r   fftsizer&   r   rF   r^   appendr   udtZSuPr  ZSu_1sider   r   r   test_psd_onesided_norm  s    $
0rb  c                  C   s   t g d} 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().rX  rY  r*   r   r   Nr   rZ  r   rn   )r   r   r   r[  r\  r&   r   rF   r^   r]  r   r   r^  r   r   r   test_psd_oversampling#  s    $
0rc  )Znumpy.testingr   r   r   r   Znumpyr   r#   Zmatplotlib.mlabr&   r   rH   rI   r?   r@   r   r  r  r,  rM  rb  rc  r   r   r   r   <module>   sR   J     <-Q6