o
    h0
                     @   sz   d dl Z d dlmZm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 deZdS )
    N)OptionalUnion)infTensor)constraints)Cauchy)TransformedDistribution)AbsTransform
HalfCauchyc                       s   e Zd ZU dZdejiZejZdZ	e
ed< 	ddeeef dee ddf fdd	Zd fd
d	ZedefddZedefddZedefddZedefddZdd Zdd Zdd Zdd Z  ZS )r
   a  
    Creates a half-Cauchy distribution parameterized by `scale` where::

        X ~ Cauchy(0, scale)
        Y = |X| ~ HalfCauchy(scale)

    Example::

        >>> # xdoctest: +IGNORE_WANT("non-deterministic")
        >>> m = HalfCauchy(torch.tensor([1.0]))
        >>> m.sample()  # half-cauchy distributed with scale=1
        tensor([ 2.3214])

    Args:
        scale (float or Tensor): scale of the full Cauchy distribution
    scaleT	base_distNvalidate_argsreturnc                    s&   t d|dd}t j|t |d d S )Nr   F)r   )r   super__init__r	   )selfr   r   r   	__class__ e/home/www/facesmatcher.com/frenv_anti/lib/python3.10/site-packages/torch/distributions/half_cauchy.pyr   '   s   zHalfCauchy.__init__c                    s   |  t|}t j||dS )N)	_instance)Z_get_checked_instancer
   r   expand)r   Zbatch_shaper   newr   r   r   r   /   s   zHalfCauchy.expandc                 C      | j jS N)r   r   r   r   r   r   r   3      zHalfCauchy.scalec                 C   s    t j|  tj| jj| jjdS )Ndtypedevice)torchfullZ_extended_shapemathr   r   r   r   r   r   r   r   mean7   s   zHalfCauchy.meanc                 C   s   t | jS r   )r    Z
zeros_liker   r   r   r   r   mode@   s   zHalfCauchy.modec                 C   r   r   )r   variancer   r   r   r   r%   D   r   zHalfCauchy.variancec                 C   sZ   | j r| | tj|| jjj| jjjd}| j|t	
d }t|dk|t }|S )Nr      r   )_validate_args_validate_sampler    Z	as_tensorr   r   r   r   log_probr"   logwherer   )r   valuer)   r   r   r   r)   H   s   
zHalfCauchy.log_probc                 C   s$   | j r| | d| j| d S )Nr&      )r'   r(   r   cdf)r   r,   r   r   r   r.   R   s   
zHalfCauchy.cdfc                 C   s   | j |d d S )Nr-   r&   )r   icdf)r   Zprobr   r   r   r/   W      zHalfCauchy.icdfc                 C   s   | j  td S )Nr&   )r   entropyr"   r*   r   r   r   r   r1   Z   r0   zHalfCauchy.entropyr   )__name__
__module____qualname____doc__r   ZpositiveZarg_constraintsZnonnegativeZsupportZhas_rsampler   __annotations__r   r   floatr   boolr   r   propertyr   r#   r$   r%   r)   r.   r/   r1   __classcell__r   r   r   r   r
      s6   
 


)r"   typingr   r   r    r   r   Ztorch.distributionsr   Ztorch.distributions.cauchyr   Z,torch.distributions.transformed_distributionr   Ztorch.distributions.transformsr	   __all__r
   r   r   r   r   <module>   s   