o
    Ih                      @  sz  d dl mZ d dlmZ d dlZddlmZmZmZm	Z	 ddl
mZmZmZmZmZmZmZ dd Zd	d
 eeD ZdZdd Ze	d7dddddddddd8d"d#Ze	d7d$ddddddd%d9d(d)Ze			*d:d$ddddddd%d;d.d/ZeD ]ZeeeZeee e< q|d0d1 Zeg d2 Zd3d
 eeD Zg d4Z d5d6 Z!eD ]ZeeeZe!ee e< qee Z"dS )<    )annotations)OptionalN   )_binary_ufuncs_impl_dtypes_impl_unary_ufuncs_impl_util)	ArrayLikeArrayLikeOrScalarCastingModes	DTypeLike
normalizerNotImplementedTypeOutArrayc                 C  s,   |d urt | |jj|} t| |j} | S N)r   typecast_tensordtypetorch_dtypetorchbroadcast_toshape)resultoutcasting r   H/var/www/vscode/kcb/lib/python3.10/site-packages/torch/_numpy/_ufuncs.py_ufunc_postprocess   s   r   c                 C  s"   g | ]}| d s|dvr|qS )_)r   matmuldivmodldexp
startswith.0namer   r   r   
<listcomp>       r&   )addsubtractmultiplyfloor_dividetrue_dividedivide	remainderbitwise_and
bitwise_orbitwise_xorbitwise_left_shiftbitwise_right_shifthypotarctan2	logaddexp
logaddexp2	heavisidecopysignfmaxminimumfminmaximumfmodgcdlcmpowc              
     s<   t 	dddddddddd fdd} j|_ j|_|S )zCommon infra for binary ufuncs.

    Normalize arguments, sort out type casting, broadcasting and delegate to
    the pytorch functions for the actual work.
    NT	same_kindKFwherer   orderr   subok	signatureextobjr   Optional[OutArray]x1r
   x2rE   r   r   Optional[CastingModes]rF   r   Optional[DTypeLike]rG   rH   rI   c                 s   |d ur fdd}
|
| |} |
||}n,t | tjr3t |tjr3t| |}t| |f| \} }nt| |jt	v j\} }| |}t
|| S )Nc                   s(   t | tjrt| | S tj| |dS )Nr   )
isinstancer   Tensorr   r   	as_tensor)xr   r   r   r   cast[   s   z0deco_binary_ufunc.<locals>.wrapped.<locals>.cast)rP   r   rQ   r   result_type_implr   typecast_tensorsnep50_to_tensors__name__NEP50_FUNCSr   )rK   rL   r   rE   r   rF   r   rG   rH   rI   rU   r   
torch_funcrT   r   wrappedJ   s   

z"deco_binary_ufunc.<locals>.wrappedr   r   rJ   rK   r
   rL   r
   rE   r   r   rM   rF   r   r   rN   rG   r   rH   r   rI   r   r   rY   __qualname__r\   r]   r   r[   r   deco_binary_ufuncC   s   $rb   rB   rC   F)r   rF   r   rG   rH   rI   axesaxisr   rJ   rK   r	   rL   r   rM   rF   r   r   rN   rG   rH   rI   rc   rd   c               C  sF   |d u r
t | |}t| |f||\} }t| |}t|||}|S r   )r   rV   r   rW   r   r   r   )rK   rL   r   r   rF   r   rG   rH   rI   rc   rd   r   r   r   r   r   y   s   r   TrD   r
   rE   c               C  s   |d urt | tjrt| ||} ntj| |d} nt | tjs*t| } t| } t|}t|j	dkr;t
dt| |}
| j	tjkrM|
tj}
t|
||S )NrO   r   zldexp 2nd arg must be integer)rP   r   rQ   r   r   rR   cast_int_to_floatr   	_categoryr   
ValueErrorr   r    float16tor   )rK   rL   r   rE   r   rF   r   rG   rH   rI   r   r   r   r   r       s   


r    NN-tuple[Optional[OutArray], Optional[OutArray]]out1out2c               C  s   t dd ||fD }|dkrtd|dkr(|\}}|d us#|d ur'tdn|\}}|d u r6t| |}t| |f||\} }t| |\}}t	|||}t	|||}||fS )Nc                 s  s    | ]}|d uV  qd S r   r   )r$   rS   r   r   r   	<genexpr>   s    zdivmod.<locals>.<genexpr>r   z&both out1 and out2 need to be provided   z>cannot specify 'out' as both a positional and keyword argument)
sumrg   	TypeErrorr   rV   r   rW   r   r   r   )rK   rL   rl   rm   r   rE   r   rF   r   rG   rH   rI   num_outso1o2quotremr   r   r   r      s$   r   c                O  s$   t | dg|R i |\}}||fS )Nr   )r   )rS   argskwdsru   rv   r   r   r   modf   s   ry   )r   ry   r   r    c                 C  s"   g | ]}| d s|dkr|qS )r   r   r!   r#   r   r   r   r&      r'   )arccosarccosharcsinarcsinharctanarctanhcbrtcoscoshdeg2raddegreesexpexp2expm1loglog10log1plog2rad2degradians
reciprocalsinsinhsqrtsquaretantanhtruncc              
     s<   t 	dddddddddd fdd} j|_ j|_|S )zCommon infra for unary ufuncs.

    Normalize arguments, sort out type casting, broadcasting and delegate to
    the pytorch functions for the actual work.
    NTrB   rC   FrD   r   rJ   rS   r	   r   rM   r   rN   rG   r   c         
        sB   |d urt | ||}  jtv rt | }  | }	t|	||}	|	S r   )r   r   rY   	_fp_unaryre   r   )
rS   r   rE   r   rF   r   rG   rH   rI   r   r[   r   r   r]   (  s   

z!deco_unary_ufunc.<locals>.wrappedr   )
r   rJ   rS   r	   r   rM   r   rN   rG   r   r_   ra   r   r[   r   deco_unary_ufunc!  s   r   r   )r   rJ   rK   r	   rL   r	   r   rM   rF   r   r   rN   rG   r   rH   r   rI   r   rc   r   rd   r   r^   )NNrj   )r   rk   rK   r	   rL   r	   rl   rJ   rm   rJ   rE   r   r   rM   rF   r   r   rN   rG   r   rH   r   rI   r   )#
__future__r   typingr   r    r   r   r   r   _normalizationsr	   r
   r   r   r   r   r   r   dir_binaryrZ   rb   r   r    r   r%   getattrufuncvarsry   _unaryr   r   __all__r   r   r   r   <module>   sz   $	6',
 (
