o
    :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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$d% d%ZG d&d' d'ZG d(d) d)Zd*d+ Zd,d- ZdS ).    )assert_allcloseassert_almost_equalassert_array_equalassert_array_almost_equal_nulpNc                   @   s   e Zd Zdd ZdddZejjdddgd	d
gddd Zejjdg dg dddd Z	ejjdddgddgdejjdg dg dddd Z
ejjdddgddgddd ZdS )
TestStridec                 C   s"   |}|j d ur|j }|j d us|S )N)base)selfxy r   </usr/lib/python3/dist-packages/matplotlib/tests/test_mlab.pyget_base
   s
   

zTestStride.get_baser   c           
      C   s|   || }t dt|| d |}t|}t ||f}t|D ]}	|||	 ||	 |  |dd|	f< q |dkr<|j}|S )z
        This is an adaptation of the original window extraction algorithm.
        This is here to test to make sure the new implementation has the same
        result.
        r      N)nparangelenzerosrangeT)
r   r	   NFFTnoverlapaxisstepZindnresultir   r   r   calc_window_target   s   &zTestStride.calc_window_targetshaper   )
   r   Z0DZ2D)idsc                 C   sR   t t ||}tt t|d W d    d S 1 s"w   Y  d S )N   )	r   r   ZprodZreshapepytestraises
ValueErrormlabstride_windows)r   r   r	   r   r   r   'test_stride_windows_invalid_input_shape"   s   "z2TestStride.test_stride_windows_invalid_input_shapezn, noverlap))r   N)   N)   r(   )r(      )zn less than 1zn greater than inputznoverlap greater than nznoverlap equal to nc                 C   sH   t d}tt t||| W d    d S 1 sw   Y  d S )Nr   )r   r   r!   r"   r#   r$   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s1J t|| t||jks?J | ||u sHJ d S )Nd   )r   r   r   r   )	r   r   r$   r%   r   r   r   tupler   )r   r   r   r   r	   r
   Zexpected_shapeZytr   r   r   test_stride_windows2   s   

zTestStride.test_stride_windowsc                 C   sd   d}t |t j }t |d}| }tj|||d}|dkr#|j}|j|jks+J t	|| d S )N    )   r   r   r   )
r   r   newaxistileflattenr$   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*   r0   r9   r   r   r   r   r   	   s$    


r   c                  C   s   t jd d} t j| d }t | }tt|| tt|| tt t	|| t
| tt t	|t
| d S )Nr     r.   )r   randomseedstandard_normalonesr   r$   window_noneZhanningr   window_hanning)r   ZrandrC   r   r   r   test_windowS   s   
rF   c                   @   d   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   r?           r.         Y@g      $g     V@r(   )r   r@   rA   linspacer   	sig_zerossig_off	sig_slopemeansig_slope_meanrB   sinpisig_base)r   r   r	   r   r   r   setup_   s   &zTestDetrend.setupc                 G   s   t |ddi d S )Natol:0yE>)r   )r   argsr   r   r   allclosen   s   zTestDetrend.allclosec                 C   s  t ddks	J t jddddksJ t jddddksJ t jdt jddks+J d| j| j| j| j| j | j  t| j| j| j | j| j | j| j | j gt| j| j| j | j| j | j| j | j gj	fD ]}t
|tjrtt || qot ||ksJ qod S )NrI   r   r3   Znonekey      @)r$   detrend_nonedetrendrM   rN   rS   tolistr   vstackr   
isinstanceZndarrayr   r   Zsigr   r   r   test_detrend_noneq   s,   



zTestDetrend.test_detrend_nonec                 C   s   dD ]"}t |dksJ t j|dddksJ t j|t jddks$J q| t | j| j | t | j| j | t | j| j | j | t | j| j | j| j  | t | j| j | j | j| j  d S )N)rI   r[   rI   rO   rY   )	r$   detrend_meanr]   rX   rL   rS   rM   rN   rP   ra   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   r3   )rS   rN   rM   rP   rX   r$   rc   r^   r   inputtargetr   r   r   4test_detrend_mean_1d_base_slope_off_list_andor_axis0   s
   z@TestDetrend.test_detrend_mean_1d_base_slope_off_list_andor_axis0c                 C   s  t | j| j| j g}t | j| jg}| t|| | tj|d d| | tj|jd dj| | t	|| | tj	|d d| | tj	|jdd d|j t | j| j| j | j| j
 | j| j | j
 g}t | j| j| j| j | j| j g}| tj|jdd|j | tj|dd| | tj|dd| | tj	|ddd| | tj	|jddd|j | tj	|jtjdd|j d S )	Nr3   ZconstantrZ   r   r   r   defaultrO   )r   r_   rM   rS   rL   rX   r$   rc   r   r]   rN   rP   rf   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 ]"\}}tt tj|fi | W d    n1 sEw   Y  q(d S )	NrZ   spamr    r[   r   r   r   r(   )rN   r   r4   r!   r"   r#   r$   r]   r   signalkwargsr   r   r   test_detrend_ValueError   s   
z#TestDetrend.test_detrend_ValueErrorc              	   C   sv   dddif| j ddif| j tj ddiffD ]"\}}tt tj|fi | W d    n1 s3w   Y  qd S )Nr[   r   r   r   r(   )rN   r   r4   r!   r"   r#   r$   rc   ro   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s)J | j| j| j| j fD ]}| t || j q4d S )NrI   r[   linearrY   )r$   detrend_linearr]   rM   rN   rX   rL   ra   r   r   r   test_detrend_linear   s   
zTestDetrend.test_detrend_linearc                 C   sZ   | j | j }| j}| tj|dd| | tj|tjd| | t| | d S )Nrt   rY   )rN   rM   rL   rX   r$   r]   ru   r^   rf   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    d S 1 siw   Y  d S )Nrt   r   rj   r   )r   r_   rM   rN   rL   rX   r$   r]   r   ru   r!   r"   r#   r4   rf   r   r   r   test_detrend_linear_2d   s.   
"z"TestDetrend.test_detrend_linear_2dN)r:   r;   r<   rT   rX   rb   rd   ri   rm   rr   rs   rv   rw   rx   r   r   r   r   rH   ^   s    	rH   	iscomplexFTrealcomplexclass)r   scopesides)onesidedZtwosidedrl   )r}   zFfstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrumrk      )r   r    r      i         !   i     r1   )ZnosigZFs4ZFsAllZnosig_noNFFTZnosig_nopad_toZnosig_noNFFT_no_pad_toZ
nosig_trimZ	nosig_oddZnosig_oddlenZnosig_stretchZnosig_overlapc                   @   s  e Zd Zejddddd Zdd Zdd	 Zd
d Zej	
dddgdd Zej	
dg ddd Zdd Zdd Zdd Zej	
dejejfejdfejejfejdfgdd Zd d! Zd"d# Zd$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
           $         s  d t ddd  }
|d ur|
d | }
 fdd|D }|d u r%d}n|dk r.d }}n|}|d u r7d}n|dk rB|d	  }}n|}|d u rK|}n|dk r^td	t t | }|}n|}|	d u rit|
}n|	dk rtt|
 }}	n|	}|	d u r| }}nt|
 }}d}|}|}|}|}|}|d
ks|dkr|s|d	 rt jd d	 |ddd d d	 }nt jd d	 |d	 d d}|d	 rt jd d	 |ddd d d	 }n`t jd d	 |d	 d d}nQ|d	 rt j  d	  d	 d	| dddd d	 }nt j  d	  d	 |dd}|d	 r%t j  d	  d	 d	| dddd d	 }nt j  d	  d	 |dd}|}|d	 }t|
|d	  d }|| }|
||| }|d	 r[|d  d	 7 }t|dkrlt |d	   g}t |d	   g}|}t |
} t	|D ]\}!}"| t 
|"|
 t j d	 d|!  7 } q|r| d} |j}# |#_||#_||#_||#_||#_||#_||#_||#_|	|#_||#_||#_||#_||#_||#_||#_| |#_||#_||#_||#_ ||#_!d S )NrJ   r   r   r   c                    s   g | ]} | qS r   r   ).0fstimFsr   r   
<listcomp>#      z%TestSpectral.stim.<locals>.<listcomp>r   r.   r(   r   rl   F)numZendpointr   r{   )"r   r   intZceilZlog2r   rK   array
zeros_like	enumeraterQ   rR   Zastypeclsr   r~   fstimsNFFT_densitynover_densitypad_to_densityNFFT_spectrumnover_spectrumpad_to_spectrumNFFT_specgramnover_specgrampad_to_specgram
t_specgram	t_density
t_spectrumr
   freqs_densityfreqs_spectrumfreqs_specgramNFFT_density_real)$r   Zrequestr   ry   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 ]#}t||   }|| ||d  ks4J || ||d  ks@J qd S )Nr   r   ư>rU   r(   )argminargmaxr   r   r   abs)r   Z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 r7t|}| }| |d | |d | | | ||d  ||d  | d S |d d  }| }|rc| }|| }	t|	|d  |d= d||d |d < |sCd S d S )Nr   rk   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 ]"}tt tjdd| j i| W d    n1 sVw   Y  q9d S )Nr   r{   )r
   mode	magnitudeanglephaser   rn   Zeggs)r
   r~   r      )r
   r   r   )r   r   	   )r
   r   windowr	   r   )r
   r   rC   r!   r"   r#   r$   _spectral_helper)r   rq   r   r   r   test_spectral_helper_raises  s"   
z(TestSpectral.test_spectral_helper_raisesr   rl   psdc                 C   s@   t t tj| j|d W d    d S 1 sw   Y  d S )N)r	   r   )r!   r"   r#   r$   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sNJ |jd
 t | d| jd	 ks`J 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$   r   r
   r   r~   r   r   )r   r   casefreqsr   r   tr   r   r   test_spectral_helper_psd  s   	(z%TestSpectral.test_spectral_helper_psdc              	   C   sV   | j }tj| j| jd | j| j| j| j| jd\}}t	||dd |j
|j
ks)J d S )Nr   r	   r
   r   r   r   r   r~   r   r   )r   r$   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dd| j i|\}}tjd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   )r   dictr
   r   r$   rD   r~   r   r   r   sum	conjugaterz   )r   ZsargsZspec0_Zspec1r   r   r   test_csd_padding  s   
zTestSpectral.test_csd_paddingc                 C   sR   | j }tj| j| j| j| j| j| jd\}}|j	|j	ksJ | 
|||| j d S )Nr	   r   r   r   r   r~   )r   r$   r   r
   r   r   r   r   r~   r   r   r   r   r   r   r   test_psd  s   
zTestSpectral.test_psdzmake_data, detrendrO   rt   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    d S 1 sw   Y  d S )	Nr    ffffff
@r   r   r   )r	   r   r   r   r~   r]   )r	   r   r   r   r~   rV   r   )r   r   r_   r5   r   r6   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  sH   








"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    d S 1 sw   Y  d S )	Nr    r   r   r   r	   r   r   r   r~   r   r(   rV   r   )r   r   r   r$   rE   	ones_liker_   r5   r   r6   r   r   r~   rD   r   r   r   r   r   r!   r"   r   )r   r   r   r   
windowVals	ycontrol1	ycontrol2r   r   ydatafr   r   r   r   r   r   r   r   r   test_psd_window_hanningC  sV   







"z$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    d S 1 sw   Y  d S )
Nr    r   r   r   )r	   r   r   r   r~   r]   r   r   r(   rV   r   )r   r   r   r   r$   rE   r   r_   r5   r   r6   r   r   r~   ru   rD   r   r   r   r   r   r!   r"   r   )r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   &test_psd_window_hanning_detrend_linearm  s`   







"z3TestSpectral.test_psd_window_hanning_detrend_linearc              
   C   sX   | j }tj| j| j| j| j| j| jt	
| jd\}}t||dd |j|jks*J d S )Nr	   r   r   r   r   r~   r   r   r   )r   r$   r   r
   r   r   r   r   r~   r   rC   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(   rV   r   )r$   rE   r   rC   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   s~   | j }tt| d| j| j| j| jd\}}t||dd |j|jks&J |dkr=| 	||| j
 | |||| j
 d S d S )NZ	_spectrum)r	   r   r~   r   r   r   r   )r   r   r$   r
   r   r~   r   r   r   r   r   r   )r   r   r   r   r   r   r   r   test_spectrum  s   
zTestSpectral.test_spectrumrq   r   r{   r   r   c              	   C   s  | j }tjd| j| j| j| j| j| jd|\}}}|	ddkr't
|}t
j|dd}t||dd t|| jdd |jd |jd ksIJ |jd | jjd ksVJ |	dd	vr{t
| dkr{tt
j|dd t
|  dd
d |	ddvr| |||| j d S d S )Nr   r   r{   r   r3   r   r   r   )r{   r   r   g{Gz?)r   r   r   )r   r$   r   r
   r   r   r   r   r~   getr   r   rO   r   r   r   maxZdiffr   r   )r   rq   r   r   r   r   specmr   r   r   test_specgram  s4   

 zTestSpectral.test_specgramc                 C   sN   t jtdd tj| jt| j| jd W d   dS 1 s w   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$   

z1TestSpectral.test_specgram_auto_default_psd_equalz
mode, convc                 C   s   t jt | ddS re   )r   Zunwrapr   r	   r   r   r   <lambda>&  r   zTestSpectral.<lambda>c           	   	   C   s~   t j| j| j| j| j| j| jdd\}}}t j| j| j| j| j| j| j|d\}}}t|| t|| t	|||dd d S )Nr{   r   r   r   )
r$   r   r
   r   r   r   r   r~   r   r   )	r   r   convZspeccZ	freqspeccZtcr   Z	freqspecmZ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   rV   r   )r$   rE   r   rC   r   r   r
   r   r   r   r   r~   r   r   )r   r   r   r   r   Zfspbr   r   r   test_psd_windowarray_equal<  s$   


z'TestSpectral.test_psd_windowarray_equalN)$r:   r;   r<   r!   Zfixturer   r   r   r   r=   r>   r   r   r   r   r   r   r   r$   rc   r   ru   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r      sb    "
 	


#*/!




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 
|sAJ d S )Nr   i!N,r   g      4@Zsame)r   r   r(   r   )r   r   r   gbX9?gMbP?r   )r   r@   rA   randnZrollZconvolverC   r$   Zcoherer   rO   Zisreal)Nr	   r
   Zcohsqfr   r   r   test_cohereP  s   r  c                   @   s$   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$   GaussianKDEtestingassert_array_almost_equal)r   r7   kde
y_expectedr   r   r   test_kde_integer_inpute  s   

z&TestGaussianKDE.test_kde_integer_inputc                 C   sT   t jg dtd}t jdddd}g d}t|d}||}t jj||d	d
 d S )Nr   r   r    )Zdtypeir   r    r   )g>L\9?gp4=?gH꟫?g8(H	MT?gĲCR?scott   r	  )r   r   floatrK   r$   r  r  r  )r   r7   xsr  Zkde2Zy2r   r   r   $test_gaussian_kde_covariance_cachingm  s   z4TestGaussianKDE.test_gaussian_kde_covariance_cachingc           
      C   s   t jd d}t j|}t|}t|d}tj||jd}t ddd}||}||}|	 |	 ks<J ||}	|	 |		 ksKJ d S )N 2   r  Z	bw_methodr  r  3   )
r   r@   rA   r  r$   r  ZfactorrK   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                   @   rG   )TestGaussianKDECustomc                 C   s:   t t tg  W d   dS 1 sw   Y  dS )z(Pass no data into the GaussianKDE class.Nr!   r"   r#   r$   r  r   r   r   r   test_no_data  s   "z"TestGaussianKDECustom.test_no_datac                 C   s<   t t tdg W d   dS 1 sw   Y  dS )z9Pass a single dataset element into the GaussianKDE class.*   Nr"  r   r   r   r   test_single_dataset_element  s   "z1TestGaussianKDECustom.test_single_dataset_elementc                 C   \   t g dg dg dg}tt jj t|d W d   dS 1 s'w   Y  dS )z/Test silverman's for a multi-dimensional array.r   r(   r)   r   r    r  r     r   	silvermanNr   r   r!   r"   ZlinalgZLinAlgErrorr$   r  r   r7   r   r   r   test_silverman_multidim_dataset     "z5TestGaussianKDECustom.test_silverman_multidim_datasetc                 C   2   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$   r  r   covariance_factorr   r7   Zmygaussr  r   r   r    test_silverman_singledim_dataset     z6TestGaussianKDECustom.test_silverman_singledim_datasetc                 C   r&  )z2Test scott's output for a multi-dimensional array.r'  r(  r)  r  Nr,  r-  r   r   r   test_scott_multidim_dataset  r/  z1TestGaussianKDECustom.test_scott_multidim_datasetc                 C   r0  )z/Test scott's output a single-dimensional array.r  r  g	e1?r  Nr1  r3  r   r   r   test_scott_singledim_dataset  r5  z2TestGaussianKDECustom.test_scott_singledim_datasetc                 C   s>   t t tjg dd W d   dS 1 sw   Y  dS )z0Test the scalar's cov factor for an empty array.r    r  Nr"  r   r   r   r   test_scalar_empty_dataset  s   "z/TestGaussianKDECustom.test_scalar_empty_datasetc                    sH   t jd d  fddtdD }tj|dd}| dks"J dS )	zTest a scalar's cov factor.r  r  c                       g | ]}t j qS r   r   r@   r  r   r   r  r   r   r         zHTestGaussianKDECustom.test_scalar_covariance_dataset.<locals>.<listcomp>r    g      ?r  Nr   r@   rA   r   r$   r  r2  )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s&J d
S )z=Test the callable's cov factor for a multi-dimensional array.r  r  c                    r9  r   r:  r;  r<  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  rA  Nr>  )r   r?  rB  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   r@   rA   r  r$   r  r   r2  )r   r  r?  r  r  r   r   r   test_callable_singledim_dataset  s   z5TestGaussianKDECustom.test_callable_singledim_datasetc                 C   sZ   t jd d}t j|}tt tj|dd W d   dS 1 s&w   Y  dS )z@Test the error message that should be called when bw is invalid.r  r  Zinvalidr  N)	r   r@   rA   r  r!   r"   r#   r$   r  )r   r  datar   r   r   test_wrong_bw_method  s   "z*TestGaussianKDECustom.test_wrong_bw_methodN)r:   r;   r<   r#  r%  r.  r4  r6  r7  r8  r@  rC  rD  rF  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$?rJ  rI  g;]?r  Nr   r   r$   r  r  r  r  )r   r7   r  r8   r  r
   r   r   r   test_evaluate_diff_dim  s   

z.TestGaussianKDEEvaluate.test_evaluate_diff_dimc                 C   sp   t jd d}t j|}t|}dgdgdgg}tt |	| W d   dS 1 s1w   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   r@   rA   r  r$   r  r!   r"   r#   r  )r   r  r?  r  r8   r   r   r   test_evaluate_inv_dim  s   
"z-TestGaussianKDEEvaluate.test_evaluate_inv_dimc                 C   sH   t ddd}t dg}t|}dg}||}t j||d dS )z-Tests if evaluated against a one by one arrayr)   r   r(   rI  r  N)r   r   r   r$   r  r  r  r  r   r7   r8   r  r  r
   r   r   r   test_evaluate_dim_and_num  s   

z1TestGaussianKDEEvaluate.test_evaluate_dim_and_numc                 C   sn   t ddd}t dddt dddg}t|}tt || W d    d S 1 s0w   Y  d S )Nr)   r   r(   )r   r   r$   r  r!   r"   r#   r  )r   r7   r8   r  r   r   r   test_evaluate_point_dim_not_one  s   
"z7TestGaussianKDEEvaluate.test_evaluate_point_dim_not_onec                 C   sL   t ddd}t ddd}t|}g d}||}t j||d d S )Nr)   r   r(   r*  )rI  rJ  rJ  r  rK  rN  r   r   r   "test_evaluate_equal_dim_and_num_lt  s   

z:TestGaussianKDEEvaluate.test_evaluate_equal_dim_and_num_ltN)r:   r;   r<   rL  rM  rO  rP  rQ  r   r   r   r   rG    s    	rG  c                  C   s   t g d} d}t t j| | d || j  }tj| | jd| tjtjdd d dd	\}}t 	|d g|dd |dd  d d d	  }t
||d
d d S )Nr   r   r(   r)   r   r(   r         ?r(   r   r   r   r   r   r   r]   r   r   r   r~   r   rk   r   r   )r   r   r   fftsizer$   r   rD   r\   appendr   uZdtZSuPr  ZSu_1sider   r   r   test_psd_onesided_norm  s   $
0r[  c                  C   s   t g d} d}t t j| | d || j  }tj| | jd d| tjtjddddd	\}}t 	|d g|dd	 |d	d ddd
  }t
t |t | dS )z&Test the case len(x) < NFFT for psd().rR  rS  r(   r   r   Nr   rT  r   rk   )r   r   r   rU  rV  r$   r   rD   r\   rW  r   r   rX  r   r   r   test_psd_oversampling#  s   $
0r\  )Znumpy.testingr   r   r   r   Znumpyr   r!   Zmatplotlib.mlabr$   r   rF   rH   r=   r>   r   r  r  r!  rG  r[  r\  r   r   r   r   <module>   sT    J     <-Q6