§
    ŠŠtjc	  ã                   óx   — 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dS )	é    N)ÚinfÚTensor)Úconstraints)ÚNormal)ÚTransformedDistribution)ÚAbsTransformÚ
HalfNormalc                   ó  ‡ — e Zd ZU dZdej        iZej        ZdZ	e
ed<   	 ddeez  dedz  ddf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scaleTÚ	base_distNÚvalidate_argsÚreturnc                 óŒ   •— t          d|d¬¦  «        }t          ¦   «                              |t          ¦   «         |¬¦  «         d S )Nr   F)r   )r   ÚsuperÚ__init__r   )Úselfr   r   r   Ú	__class__s       €ú]/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/torch/distributions/half_normal.pyr   zHalfNormal.__init__(   sB   ø€ õ
 ˜1˜e°5Ð9Ñ9Ô9ˆ	Ý‰Œ×Ò˜¥L¡N¤NÀ-ÐÑPÔPÐPÐPÐPó    c                 ó€   •— |                       t          |¦  «        }t          ¦   «                              ||¬¦  «        S )N)Ú	_instance)Ú_get_checked_instancer	   r   Úexpand)r   Úbatch_shaper   Únewr   s       €r   r   zHalfNormal.expand0   s2   ø€ Ø×(Ò(­°YÑ?Ô?ˆÝ‰wŒw�~Š~˜k°Sˆ~Ñ9Ô9Ð9r   c                 ó   — | j         j        S ©N)r   r   ©r   s    r   r   zHalfNormal.scale4   s   € àŒ~Ô#Ð#r   c                 óT   — | j         t          j        dt          j        z  ¦  «        z  S ©Né   )r   ÚmathÚsqrtÚpir   s    r   ÚmeanzHalfNormal.mean8   s   € àŒz�DœI a­$¬'¡kÑ2Ô2Ñ2Ð2r   c                 ó4   — t          j        | j        ¦  «        S r   )ÚtorchÚ
zeros_liker   r   s    r   ÚmodezHalfNormal.mode<   s   € åÔ ¤
Ñ+Ô+Ð+r   c                 ó\   — | j                              d¦  «        ddt          j        z  z
  z  S ©Nr!   é   )r   Úpowr"   r$   r   s    r   ÚvariancezHalfNormal.variance@   s%   € àŒz�~Š~˜aÑ Ô  A¨­D¬G©¡OÑ4Ð4r   c                 óÜ   — | j         r|                      |¦  «         | 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_probD   sa   € ØÔð 	)Ø×!Ò! %Ñ(Ô(Ð(Ø”>×*Ò*¨5Ñ1Ô1µD´H¸Q±K´KÑ?ˆÝ”;˜u¨šz¨8µc°TÑ:Ô:ˆØˆr   c                 óz   — | j         r|                      |¦  «         d| j                             |¦  «        z  dz
  S r+   )r0   r1   r   Úcdf)r   r5   s     r   r7   zHalfNormal.cdfK   sA   € ØÔð 	)Ø×!Ò! %Ñ(Ô(Ð(Ø�4”>×%Ò% eÑ,Ô,Ñ,¨qÑ0Ð0r   c                 óB   — | j                              |dz   dz  ¦  «        S )Nr,   r!   )r   Úicdf)r   Úprobs     r   r9   zHalfNormal.icdfP   s    € ØŒ~×"Ò" D¨1¡H°¡>Ñ2Ô2Ð2r   c                 ó^   — | j                              ¦   «         t          j        d¦  «        z
  S r    )r   Úentropyr"   r3   r   s    r   r<   zHalfNormal.entropyS   s#   € ØŒ~×%Ò%Ñ'Ô'­$¬(°1©+¬+Ñ5Ð5r   r   )Ú__name__Ú
__module__Ú__qualname__Ú__doc__r   ÚpositiveÚarg_constraintsÚnonnegativeÚsupportÚhas_rsampler   Ú__annotations__r   ÚfloatÚboolr   r   Úpropertyr   r%   r)   r.   r2   r7   r9   r<   Ú__classcell__)r   s   @r   r	   r	      sŸ  ø€ € € € € € ðð ð"  Ô 4Ð5€OàÔ%€GØ€KàÐÐÑð
 &*ðQð Qà˜‰~ðQð ˜d‘{ðQð 
ð	Qð Qð Qð Qð Qð Qð:ð :ð :ð :ð :ð :ð ð$�vð $ð $ð $ñ „Xð$ð ð3�fð 3ð 3ð 3ñ „Xð3ð ð,�fð ,ð ,ð ,ñ „Xð,ð ð5˜&ð 5ð 5ð 5ñ „Xð5ðð ð ð1ð 1ð 1ð
3ð 3ð 3ð6ð 6ð 6ð 6ð 6ð 6ð 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>rQ      s¿   ðà €€€à €€€Ø Ð Ð Ð Ð Ð Ð Ð Ø +Ð +Ð +Ð +Ð +Ð +Ø -Ð -Ð -Ð -Ð -Ð -Ø PÐ PÐ PÐ PÐ PÐ PØ 7Ð 7Ð 7Ð 7Ð 7Ð 7ð ˆ.€ðE6ð E6ð E6ð E6ð E6Ð(ñ E6ô E6ð E6ð E6ð E6r   