a
    s=ic                     @   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	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_nulpN)mlab_apic                   @   s   e Zd Zdd Zejdd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   k/home/droni/.local/share/virtualenvs/DPS-5Je3_V2c/lib/python3.9/site-packages/matplotlib/tests/test_mlab.pyget_base
   s    
zTestStride.get_baseT)autousec                 c   s2   t   d V  W d    n1 s$0    Y  d S r	   )r   Z'suppress_matplotlib_deprecation_warningr   r   r   r   stride_is_deprecated   s    
zTestStride.stride_is_deprecatedr   c           
      C   s|   || }t dt|| d |}t|}t ||f}t|D ](}	|||	 ||	 |  |dd|	f< q@|dkrx|j}|S )z
        This is an adaptation of the original window extraction algorithm.
        This is here to test to make sure the new implementation has the same
        result.
        r      N)nparangelenzerosrangeT)
r   r   NFFTnoverlapaxisstepindnresultir   r   r   calc_window_target   s    &zTestStride.calc_window_targetshaper   )
   r   Z0DZ2D)idsc                 C   sP   t t ||}tt t|d W d    n1 sB0    Y  d S )N   )	r   r   prodZreshapepytestraises
ValueErrorr   stride_windows)r   r$   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$   r   tupler   )r   r    r   r   r   r   Zexpected_shapeZytr   r   r   test_stride_windows7   s    

zTestStride.test_stride_windowsc                 C   sd   d}t |t j }t |d}| }tj|||d}|dkrF|j}|j|jksVJ t	|| d S )N    )   r   r   r   )
r   r   newaxistileflattenr   r,   r   r$   r   )r   r   r    r   x1x2r   r   r   r   +test_stride_windows_n32_noverlap0_unflattenJ   s    z6TestStride.test_stride_windows_n32_noverlap0_unflattenN)r   r   )__name__
__module____qualname__r   r)   fixturer   r#   markparametrizer-   r1   r7   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     r5   )r   randomseedstandard_normalonesr   r   window_noneZhanningr   window_hanning)r    ZrandrK   r   r   r   test_windowX   s    
rN   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   rG           r5         Y@g      $g     V@r/   )r   rH   rI   linspacer   	sig_zerossig_off	sig_slopemeansig_slope_meanrJ   sinpisig_base)r   r    r   r   r   r   setupd   s    &zTestDetrend.setupc                 G   s   t |ddi d S )Natol:0yE>)r   )r   argsr   r   r   allcloses   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 )NrP   r   r:   nonekey      @)r   detrend_nonedetrendrT   rU   rZ   tolistr   vstackr   
isinstanceZndarrayr   r   sigr   r   r   test_detrend_nonev   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)rP   rc   rP   rV   ra   )	r   detrend_meanre   r_   rS   rZ   rT   rU   rW   ri   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   r:   )rZ   rU   rT   rW   r_   r   rl   rf   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 )	Nr:   Zconstantrb   r   r   r   defaultrV   )r   rg   rT   rZ   rS   r_   r   rl   r   re   rU   rW   ro   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 )	Nrb   spamr'   rc   r   r   r   r/   )rU   r   r;   r)   r*   r+   r   re   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 )Nrc   r   r   r   r/   )rU   r   r;   r)   r*   r+   r   rl   rx   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 )NrP   rc   linearra   )r   detrend_linearre   rT   rU   r_   rS   ri   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 )Nr}   ra   )rU   rT   rS   r_   r   re   r~   rf   ro   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 )Nr}   r   rs   r   )r   rg   rT   rU   rS   r_   r   re   r   r~   r)   r*   r+   r;   ro   r   r   r   test_detrend_linear_2d   s,    
z"TestDetrend.test_detrend_linear_2dN)rA   rB   rC   r[   r_   rk   rm   rr   rv   r{   r|   r   r   r   r   r   r   r   rO   c   s   	rO   	iscomplexFTrealcomplexclass)r&   scopesides)onesidedZtwosidedru   )r   zFfstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrumrt      )r   r'   r%      i         !   i     r8   )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$d% Zd&d' Zej	
d(g d)d*d+ Zej	
d,i ddiddidd-idd.idd/idd0igd1d2 Zd3d4 Zd5d6 Zej	
dddgd7d8 Zej	
d9d-ej fd/ej!fd0d:d; fgd<d= Z"d>d? Z#d@S )ATestSpectralr   T)r   r   c
           $         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 )NrQ   r   r%   r   c                    s   g | ]} | qS r   r   ).0fstimFsr   r   
<listcomp>(      z%TestSpectral.stim.<locals>.<listcomp>r   r5   r/   r   ru   F)numZendpointr   r   )"r   r   intceillog2r   rR   array
zeros_like	enumeraterX   rY   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>r\   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   rt   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   rw   eggs)r   r   r%      )r   r   r   )r   r   	   )r   r   windowr   )r   r   rK   r)   r*   r+   r   _spectral_helper)r   rz   r   r   r   test_spectral_helper_raises  s    
z(TestSpectral.test_spectral_helper_raisesr   ru   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   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$   r   r   r   r   r   r   r   test_csd  s    
zTestSpectral.test_csdc                 C   s   | j du rdS t| j| jd | jtj| jd}tjf d| j i|\}}tjf d| j d i|\}}tt	
t	|| jt	
t	|d | d j dS )zTest zero padding of csd().Nr   )r   r   r   r   r   r   r/   )r   dictr   r   r   rL   r   r   r   r   sum	conjugater   )r   ZsargsZspec0_Zspec1r   r   r   test_csd_padding
  s    
zTestSpectral.test_csd_paddingc                 C   sR   | j }tj| j| j| j| j| j| jd\}}|j	|j	ks<J | 
|||| j d S )Nr   r   r   r   r   r   )r   r   r   r   r   r   r   r   r   r$   r   r   r   r   r   r   test_psd  s    
zTestSpectral.test_psdzmake_data, detrendrV   r}   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   re   )r   r   r   r   r   r]   r   )r   r   rg   r<   r   r=   r   r   r   r   r   r   r   r)   r*   AssertionError)r   Z	make_datare   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/   r]   r   )r   r   r   r   rM   	ones_likerg   r<   r   r=   r   r   r   rL   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_hanningH  sT    







z$TestSpectral.test_psd_window_hanningc              	   C   s  | j d u rd S t| j }t| j }|d }|d }|}|}tt|}|| }t|}t||g}t||g}t|d}t|d}|j	
 }|
 }	|
 }tj|	| j | jd| jtjtjd\}
}tj|| j | jd| jtjtjd\}}tj|| j | jd| jtjd\}}|t|t|d   9 }t|| t|| t|
|dd	 tt t||dd	 W d    n1 s0    Y  d S )
Nr'   r   r   r   )r   r   r   r   r   re   r   r   r/   r]   r   )r   r   r   r   r   rM   r   rg   r<   r   r=   r   r   r   r~   rL   r   r   r   r   r   r)   r*   r   )r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   &test_psd_window_hanning_detrend_linearr  s^    







z3TestSpectral.test_psd_window_hanning_detrend_linearc              
   C   sX   | j }tj| j| j| j| j| j| jt	
| jd\}}t||dd |j|jksTJ d S )Nr   r   r   r   r   r   r   r   r   )r   r   r   r   r   r   r   r   r   r   rK   r   r   r$   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/   r]   r   )r   rM   r   rK   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$   r   r   r   )r   r   r   r   r   r   r   r   test_spectrum  s    
zTestSpectral.test_spectrumrz   r   r   r   r   c              	   C   s  | j }tjf | j| j| j| j| j| jd|\}}}|	ddkrNt
|}t
j|dd}t||dd t|| jdd |jd |jd ksJ |jd | jjd ksJ |	dd	vrt
| dkrtt
j|dd t
|  dd
d |	ddvr| |||| j d S )Nr   r   r   r   r:   r   r   r   )r   r   r   g{Gz?)r   r   )r   r   r   r   r   r   r   r   r   getr   r   rV   r   r   r$   maxdiffr   r   )r   rz   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 rn   )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	freqspecc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   r]   r   )r   rM   r   rK   r   r   r   r   r   r   r   r   r   r   )r   r   r  r   r  Zfspbr   r   r   test_psd_windowarray_equalA  s$    


z'TestSpectral.test_psd_windowarray_equalN)$rA   rB   rC   r)   rD   r   r   r   r   rE   rF   r   r   r   r   r   r   r   r   rl   r   r~   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   rH   rI   randnZrollZconvolverK   r   Zcoherer   rV   Zisreal)Nr   r   Zcohsqfr   r   r   test_cohereU  s    r  c                   @   s$   e Zd Zdd Zdd Zdd ZdS )TestGaussianKDEc                 C   s6   t d}t|}g d}t jj|||dd dS )zRegression test for #1181.r'   )B\A?筱ES?g
f?r  r     decimalN)r   r   r   GaussianKDEtestingassert_array_almost_equal)r   r>   kde
y_expectedr   r   r   test_kde_integer_inputj  s    

z&TestGaussianKDE.test_kde_integer_inputc                 C   sT   t jg dtd}t jdddd}g d}t|d}||}t jj||d	d
 d S )Nr   r   r'   )Zdtypeir%   r'   r   )g>L\9?gp4=?gH꟫?g8(H	MT?gĲCR?scott   r  )r   r   floatrR   r   r  r  r  )r   r>   xsr   Zkde2y2r   r   r   $test_gaussian_kde_covariance_cachingr  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   rH   rI   r  r   r  factorrR   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)rA   rB   rC   r!  r*  r3  r   r   r   r   r  h  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.*   Nr5  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/   r0   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   s2   t g d}t|d}d}t| |d dS )z4Test silverman's output for a single dimension list.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   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.r9  r:  r;  r%  Nr>  r?  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&  NrA  rC  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-  Nr5  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   rH   r  r   r"   r2  r   r   r     r   zHTestGaussianKDECustom.test_scalar_covariance_dataset.<locals>.<listcomp>r'   g      ?r-  Nr   rH   rI   r   r   r  rB  )r   multidim_datar  r   rJ  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   rH  rI  rJ  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-  rN  NrK  )r   rL  rO  r  r   rJ  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   rH   rI   r  r   r  r   rB  )r   r2  rL  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   rH   rI   r  r)   r*   r+   r   r  )r   r2  datar   r   r   test_wrong_bw_method  s
    z*TestGaussianKDECustom.test_wrong_bw_methodN)rA   rB   rC   r6  r8  r@  rD  rE  rF  rG  rM  rP  rQ  rT  r   r   r   r   r4    s   	
r4  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.
        r0   r%   r/      )X]?AG$?rX  rW  g;]?r&  Nr   r   r   r  r0  r  r  )r   r>   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/   r0   N)
r   rH   rI   r  r   r  r)   r*   r+   r0  )r   r2  rL  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 arrayr0   r%   r/   rW  r&  N)r   r   r   r   r  r0  r  r  r   r>   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 )Nr0   r%   r/   )r   r   r   r  r)   r*   r+   r0  )r   r>   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 )Nr0   r%   r/   r<  )rW  rX  rX  r&  rY  r\  r   r   r   "test_evaluate_equal_dim_and_num_lt  s    

z:TestGaussianKDEEvaluate.test_evaluate_equal_dim_and_num_ltN)rA   rB   rC   rZ  r[  r]  r^  r_  r   r   r   r   rU    s
   	rU  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/   r0   r   r/   r         ?r/   r   r   r   r   r   r   re   r   r   r   r   r   rt   r   r   )r   r   r   fftsizer   r   rL   rd   appendr   udtZSuPr  ZSu_1sider   r   r   test_psd_onesided_norm  s    $
0rj  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().r`  ra  r/   r   r   Nr   rb  r   rt   )r   r   r   rc  rd  r   r   rL   rd   re  r   r   rf  r   r   r   test_psd_oversampling(  s    $
0rk  )Znumpy.testingr   r   r   r   numpyr   r)   Z
matplotlibr   r   r   rN   rO   rE   rF   r   r  r  r4  rU  rj  rk  r   r   r   r   <module>   sR   O     <-Q6