Ë
    f^(h½  ã                   óp   — d dl Z d dlZd dlmZmZ d dlmZ d dlmZ d dlm	Z	 d dl
mZ dgZ G d„ de	«      Zy)	é    N)ÚinfÚTensor)Úconstraints)ÚNormal)ÚTransformedDistribution)ÚAbsTransformÚ
HalfNormalc                   óØ   ‡ — e Zd ZdZdej
                  iZej                  ZdZ	dˆ fd„	Z
dˆ fd„	Zedefd„«       Zedefd„«       Zedefd	„«       Zedefd
„«       Zd„ Zd„ Zd„ Zd„ Zˆ xZS )r	   a´  
    Creates a half-normal distribution parameterized by `scale` where::

        X ~ Normal(0, scale)
        Y = |X| ~ HalfNormal(scale)

    Example::

        >>> # xdoctest: +IGNORE_WANT("non-deterministic")
        >>> m = HalfNormal(torch.tensor([1.0]))
        >>> m.sample()  # half-normal distributed with scale=1
        tensor([ 0.1046])

    Args:
        scale (float or Tensor): scale of the full Normal distribution
    ÚscaleTc                 óV   •— t        d|d¬«      }t        ‰| �	  |t        «       |¬«       y )Nr   F)Úvalidate_args)r   ÚsuperÚ__init__r   )Úselfr   r   Ú	base_distÚ	__class__s       €ú]/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/torch/distributions/half_normal.pyr   zHalfNormal.__init__%   s'   ø€ Ü˜1˜e°5Ô9ˆ	Ü‰Ñ˜¤L£NÀ-ÐÕPó    c                 óR   •— | j                  t        |«      }t        ‰| �  ||¬«      S )N)Ú	_instance)Ú_get_checked_instancer	   r   Úexpand)r   Úbatch_shaper   Únewr   s       €r   r   zHalfNormal.expand)   s(   ø€ Ø×(Ñ(¬°YÓ?ˆÜ‰w‰~˜k°Sˆ~Ó9Ð9r   Úreturnc                 ó.   — | j                   j                  S ©N)r   r   ©r   s    r   r   zHalfNormal.scale-   s   € à�~‰~×#Ñ#Ð#r   c                 óh   — | j                   t        j                  dt        j                  z  «      z  S ©Né   )r   ÚmathÚsqrtÚpir   s    r   ÚmeanzHalfNormal.mean1   s"   € à�z‰zœDŸI™I a¬$¯'©'¡kÓ2Ñ2Ð2r   c                 ó@   — t        j                  | j                  «      S r   )ÚtorchÚ
zeros_liker   r   s    r   ÚmodezHalfNormal.mode5   s   € ä×Ñ §
¡
Ó+Ð+r   c                 óf   — | j                   j                  d«      ddt        j                  z  z
  z  S ©Nr!   é   )r   Úpowr"   r$   r   s    r   ÚvariancezHalfNormal.variance9   s&   € à�z‰z�~‰~˜aÓ  A¨¬D¯G©G©¡OÑ4Ð4r   c                 óà   — | j                   r| j                  |«       | j                  j                  |«      t	        j
                  d«      z   }t        j                  |dk\  |t         «      }|S )Nr!   r   )	Ú_validate_argsÚ_validate_sampler   Úlog_probr"   Úlogr'   Úwherer   )r   Úvaluer2   s      r   r2   zHalfNormal.log_prob=   sW   € Ø×ÒØ×!Ñ! %Ô(Ø—>‘>×*Ñ*¨5Ó1´D·H±H¸Q³KÑ?ˆÜ—;‘;˜u¨™z¨8´c°TÓ:ˆØˆr   c                 ó~   — | j                   r| j                  |«       d| j                  j                  |«      z  dz
  S r+   )r0   r1   r   Úcdf)r   r5   s     r   r7   zHalfNormal.cdfD   s8   € Ø×ÒØ×!Ñ! %Ô(Ø�4—>‘>×%Ñ% eÓ,Ñ,¨qÑ0Ð0r   c                 óD   — | j                   j                  |dz   dz  «      S )Nr,   r!   )r   Úicdf)r   Úprobs     r   r9   zHalfNormal.icdfI   s   € Ø�~‰~×"Ñ" D¨1¡H°¡>Ó2Ð2r   c                 ób   — | j                   j                  «       t        j                  d«      z
  S r    )r   Úentropyr"   r3   r   s    r   r<   zHalfNormal.entropyL   s"   € Ø�~‰~×%Ñ%Ó'¬$¯(©(°1«+Ñ5Ð5r   r   )Ú__name__Ú
__module__Ú__qualname__Ú__doc__r   ÚpositiveÚarg_constraintsÚnonnegativeÚsupportÚhas_rsampler   r   Úpropertyr   r   r%   r)   r.   r2   r7   r9   r<   Ú__classcell__)r   s   @r   r	   r	      sµ   ø„ ñð"  × 4Ñ 4Ð5€OØ×%Ñ%€GØ€KõQõ:ð ð$�vò $ó ð$ð ð3�fò 3ó ð3ð ð,�fò ,ó ð,ð ð5˜&ò 5ó ð5òò1ò
3ö6r   )r"   r'   r   r   Útorch.distributionsr   Útorch.distributions.normalr   Ú,torch.distributions.transformed_distributionr   Útorch.distributions.transformsr   Ú__all__r	   © r   r   ú<module>rN      s0   ðã ã ß Ý +Ý -Ý PÝ 7ð ˆ.€ô>6Ð(õ >6r   