o
    Zh7                     @   s   d dl Z d dlZd dlmZ d dlmZ d dlmZ d dlmZm	Z	 d dl
mZ d dlmZmZ d dlmZ d	gZG d
d	 d	eZdS )    N)Tensor)constraints)TransformedDistribution)AffineTransformExpTransform)Uniform)broadcast_alleuler_constant)_NumberGumbelc                       s   e Zd ZdZejejdZejZd fdd	Z	d fdd	Z
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  ZS )r   a  
    Samples from a Gumbel Distribution.

    Examples::

        >>> # xdoctest: +IGNORE_WANT("non-deterministic")
        >>> m = Gumbel(torch.tensor([1.0]), torch.tensor([2.0]))
        >>> m.sample()  # sample from Gumbel distribution with loc=1, scale=2
        tensor([ 1.0124])

    Args:
        loc (float or Tensor): Location parameter of the distribution
        scale (float or Tensor): Scale parameter of the distribution
    locscaleNc                    s   t ||\| _| _t| jj}t|tr&t|tr&t|j	d|j
 |d}ntt| j|j	t| jd|j
 |d}t jtdt| j dt jt|| j dg}t j|||d d S )N   )validate_argsr   r   )r   r   r   torchfinfoZdtype
isinstancer
   r   ZtinyZepsZ	full_liker   invr   Z	ones_likesuper__init__)selfr   r   r   r   Z	base_distZ
transforms	__class__ I/var/www/auris/lib/python3.10/site-packages/torch/distributions/gumbel.pyr   $   s   zGumbel.__init__c                    s8   |  t|}| j||_| j||_t j||dS )N)	_instance)Z_get_checked_instancer   r   expandr   r   )r   Zbatch_shaper   newr   r   r   r   7   s   zGumbel.expandc                 C   s6   | j r| | | j| | j }||  | j  S N)Z_validate_argsZ_validate_sampler   r   explog)r   valueyr   r   r   log_prob>   s   
zGumbel.log_probreturnc                 C   s   | j | jt  S r   )r   r   r	   r   r   r   r   meanD   s   zGumbel.meanc                 C   s   | j S r   )r   r&   r   r   r   modeH   s   zGumbel.modec                 C   s   t jt d | j S )N   )mathpisqrtr   r&   r   r   r   stddevL   s   zGumbel.stddevc                 C   s   | j dS )N   )r-   powr&   r   r   r   varianceP   s   zGumbel.variancec                 C   s   | j  dt  S )Nr   )r   r!   r	   r&   r   r   r   entropyT   s   zGumbel.entropyr   )__name__
__module____qualname____doc__r   realZpositiveZarg_constraintsZsupportr   r   r$   propertyr   r'   r(   r-   r0   r1   __classcell__r   r   r   r   r      s     )r*   r   r   Ztorch.distributionsr   Z,torch.distributions.transformed_distributionr   Ztorch.distributions.transformsr   r   Ztorch.distributions.uniformr   Ztorch.distributions.utilsr   r	   Ztorch.typesr
   __all__r   r   r   r   r   <module>   s   