o
    g                     @   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   X/home/ubuntu/cloudmapper/venv/lib/python3.10/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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stepindnresultir   r   r   calc_window_target   s   &zTestStride.calc_window_targetshaper   )
   r   0D2D)idsc                 C   sR   t t ||}tt t|d W d    d S 1 s"w   Y  d S )N   )	r   r   prod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   axis0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
   expected_shape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/   r9   rB   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_nonehanningr   window_hanning)r   randrL   r   r   r   test_windowS   s   
rQ   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   rH           r5         Y@g      $g     V@r-   )r   rI   rJ   linspacer   	sig_zerossig_off	sig_slopemeansig_slope_meanrK   sinpisig_base)r   r   r	   r   r   r   setup_   s   &zTestDetrend.setupc                 G   s   t |ddi d S )Natol:0yE>)r   )r   argsr   r   r   allclosen   s   zTestDetrend.allclosec                 C   s  t ddks	J t jddddksJ t jddddksJ t jdt jddks+J d| j| j| j| j| j | j  t| j| j| j | j| j | j| j | j gt| j| j| j | j| j | j| j | j gj	fD ]}t
|tjrtt || qot ||ksJ qod S )NrT   r   r<   nonekey      @)r)   detrend_nonedetrendrX   rY   r^   tolistr   vstackr   
isinstancendarrayr   r   sigr   r   r   test_detrend_noneq   s,   



zTestDetrend.test_detrend_nonec                 C   s   dD ]"}t |dksJ t j|dddksJ t j|t jddks$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)rT   rg   rT   rZ   re   )	r)   detrend_meanri   rc   rW   r^   rX   rY   r[   rn   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<   )r^   rY   rX   r[   rc   r)   rq   rj   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<   constantrf   r   r   r   defaultrZ   )r   rk   rX   r^   rW   rc   r)   rq   r   ri   rY   r[   rt   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 )	Nrf   spamr#   rg   r   r   r   r-   )rY   r   r=   r&   r'   r(   r)   ri   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 )Nrg   r   r   r   r-   )rY   r   r=   r&   r'   r(   r)   rq   r~   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 )NrT   rg   linearre   )r)   detrend_linearri   rX   rY   rc   rW   rn   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   re   )rY   rX   rW   rc   r)   ri   r   rj   rt   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 )Nr   r   ry   r   )r   rk   rX   rY   rW   rc   r)   ri   r   r   r&   r'   r(   r=   rt   r   r   r   test_detrend_linear_2d   s.   
"z"TestDetrend.test_detrend_linear_2dN)rC   rD   rE   r_   rc   rp   rr   rw   r|   r   r   r   r   r   r   r   r   r   rS   ^   s    	rS   	iscomplexFTrealcomplexclass)r"   scopesides)onesidedtwosidedr{   )r   zFfstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrumrz      )r   r#   r      i         !   i     r:   )nosigFs4FsAllnosig_noNFFTnosig_nopad_tonosig_noNFFT_no_pad_to
nosig_trim	nosig_oddnosig_oddlennosig_stretch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$d% Zd&d' Zej	
d(g d)d*d+ Zej	
d,i ddiddidd-idd.idd/idd0igd1d2 Zd3d4 Zd5d6 Zej	
dddgd7d8 Zej	
d9d-ej fd/ej!fd0d:d; fgd<d= Z"d>d? Z#d@S )ATestSpectralr   T)r   autousec
           $         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 )NrU   r   r   r   c                    s   g | ]} | qS r   r   ).0fstimFsr   r   
<listcomp>#      z%TestSpectral.stim.<locals>.<listcomp>r   r5   r-   r   r{   F)numendpointr   r   )"r   r   intceillog2r   rV   array
zeros_like	enumerater\   r]   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   len_xr   r   r   r   r	   r   nover_density_realpad_to_density_realpad_to_spectrum_realNFFT_spectrum_realr   r   r   r   r   NFFT_specgram_realnover_specgram_realr   r   r   t_startt_stop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>r`   r-   )argminargmaxr   r   r   abs)r   vals	targfreqs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   rz   r#   )	r   minr   r   r   check_maxfreqcopyr   r   )
r   specfspr   fspazeroindfstimstspectmaxind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   r}   eggs)r
   r   r      )r
   r   r   )r   r   	   )r
   r   windowr	   r   )r
   r   rL   r&   r'   r(   r)   _spectral_helper)r   r   r   r   r   test_spectral_helper_raises  s"   
z(TestSpectral.test_spectral_helper_raisesr   r{   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)   _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   density)r   specgram)r   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 )Nfreqs_NFFT_nover_pad_to_)r	   r
   r   r   r   pad_tor   r   r   r   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)   rM   r   r  r   r   sum	conjugater   )r   sargsspec0_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, detrendrZ   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    d S 1 sw   Y  d S )	Nr#   ffffff
@r   r   r   )r	   r   r   r   r   ri   )r	   r   r   r   r   ra   r   )r   r   rk   r>   r   r?   r   r)   r   r   r   r   r   r&   r'   AssertionError)r   	make_datari   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-   ra   r   )r   r   r   r)   rO   	ones_likerk   r>   r   r?   r   r   r   rM   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   ri   r   r  r-   ra   r   )r   r   r   r   r)   rO   r  rk   r>   r   r?   r   r   r   r   rM   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   rL   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-   ra   r   )r)   rO   r   rL   r   r   r
   r   r   r   r   r   r   r   r  )r   winr   r   spec_sfsp_sspec_n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 )N	_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_spectrumr   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   r<   r   r   r   )r   r   r   g{Gz?)r   r   r   )r   r)   r   r
   r   r   r   r   r   getr   r   rZ   r   r   r   maxdiffr   r   )r   r   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&   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   PxxfreqsxxPxy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   speca	freqspecataspecb	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 rs   )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   rA  r   r   )
r)   r   r
   r   r   r   r   r   r   r   )	r   r   convspecc	freqspecctcr5  	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  ra   r   )r)   rO   r   rL   r   r   r
   r   r   r   r   r   r   r   )r   r)  rB  r   rE  fspbr   r   r   test_psd_windowarray_equal<  s$   


z'TestSpectral.test_psd_windowarray_equalN)$rC   rD   rE   r&   fixturer   r   r   r   rF   rG   r   r   r  r  r  r   r   r)   rq   r   r   r  r$  r%  r'  r.  r1  r6  r;  r@  rH  r   r   rR  rT  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@same)r   r   r-   r   )r   r   r   gbX9?gMbP?r   )r   rI   rJ   randnrollconvolverL   r)   coherer   rZ   isreal)Nr	   r
   cohsqfr   r   r   test_cohereP  s   r_  c                   @   s$   e Zd Zdd Zdd Zdd ZdS )TestGaussianKDEc                 C   s6   t d}t|}g d}t jj|||dd dS )zRegression test for #1181.r#   )B\A?筱ES?g
f?rb  ra     decimalN)r   r   r)   GaussianKDEtestingassert_array_almost_equal)r   r@   kde
y_expectedr   r   r   test_kde_integer_inpute  s   

z&TestGaussianKDE.test_kde_integer_inputc                 C   sT   t jg dtd}t jdddd}g d}t|d}||}t jj||d	d
 d S )Nr   r   r#   )dtypeir   r#   r   )g>L\9?gp4=?gH꟫?g8(H	MT?gĲCR?scott   rd  )r   r   floatrV   r)   rf  rg  rh  )r   r@   xsrj  kde2y2r   r   r   $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s<J ||}	|	 |		 ksKJ d S )N 2   rp  	bw_methodrm  rq  3   )
r   rI   rJ   rW  r)   rf  factorrV   evaluateall)
r   n_basesamplexngkdegkde2gkde3rs  kdepdfkdepdf2kdepdf3r   r   r   test_kde_bandwidth_method{  s   



z)TestGaussianKDE.test_kde_bandwidth_methodN)rC   rD   rE   rk  rv  r  r   r   r   r   r`  c  s    r`  c                   @   rR   )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)   rf  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#   rc  rq     r   	silvermanNr   r   r&   r'   linalgLinAlgErrorr)   rf  r   r@   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.rl  r  g/?rq  Nr   r   r)   rf  r   covariance_factorr   r@   mygaussrj  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  rp  Nr  r  r   r   r   test_scott_multidim_dataset  r  z1TestGaussianKDECustom.test_scott_multidim_datasetc                 C   r  )z/Test scott's output a single-dimensional array.rl  rp  g	e1?rq  Nr  r  r   r   r   test_scott_singledim_dataset  r  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#   ry  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.rw  rx  c                       g | ]}t j qS r   r   rI   rW  r   r   r  r   r   r         zHTestGaussianKDECustom.test_scalar_covariance_dataset.<locals>.<listcomp>r#   g      ?ry  Nr   rI   rJ   r   r)   rf  r  )r   multidim_datari  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.rw  rx  c                    r  r   r  r  r  r   r   r     r  zJTestGaussianKDECustom.test_callable_covariance_dataset.<locals>.<listcomp>r#   c                 S   s   dS )N皙?r   rJ  r   r   r   callable_fun  s   zLTestGaussianKDECustom.test_callable_covariance_dataset.<locals>.callable_funry  r  Nr  )r   r  r  ri  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.rw  rx  r  ry  g}B8 ?rq  N)r   rI   rJ   rW  r)   rf  r   r  )r   r  r  ri  rj  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.rw  rx  invalidry  N)	r   rI   rJ   rW  r&   r'   r(   r)   rf  )r   r  datar   r   r   test_wrong_bw_method  s   "z*TestGaussianKDECustom.test_wrong_bw_methodN)rC   rD   rE   r  r  r  r  r  r  r  r  r  r  r  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$?r  r  g;]?rq  Nr   r   r)   rf  r}  rg  rh  )r   r@   ri  rA   rj  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]].
        rw  rx  r   r-   r.   N)
r   rI   rJ   rW  r)   rf  r&   r'   r(   r}  )r   r  r  ri  rA   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-   r  rq  N)r   r   r   r)   rf  r}  rg  rh  r   r@   rA   ri  rj  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)   rf  r&   r'   r(   r}  )r   r@   rA   ri  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  )r  r  r  rq  r  r  r   r   r   "test_evaluate_equal_dim_and_num_lt  s   

z:TestGaussianKDEEvaluate.test_evaluate_equal_dim_and_num_ltN)rC   rD   rE   r  r  r  r  r  r   r   r   r   r    s    	r  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   ri   r   r   r(  r   r   rz   r   r   )r   r   r   fftsizer)   r   rM   rh   appendr   udtSuPr^  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().r  r  r-   r   r   Nr   r  r   rz   )r   r   r   r  r  r)   r   rM   rh   r  r   r  r  r   r   r   test_psd_oversampling#  s   $
0r  )numpy.testingr   r   r   r   numpyr   r&   matplotlib.mlabr)   r   rQ   rS   rF   rG   r   r_  r`  r  r  r  r  r   r   r   r   <module>   sT    J     <-Q6