o
    ei                     @   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de	e
B de	e
B dedB ddf 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scaleNr   r   validate_argsreturnc                    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   )r   r   r   )r   r   r   torchfinfodtype
isinstancer
   r   tinyeps	full_liker   invr   	ones_likesuper__init__)selfr   r   r   r   	base_dist
transforms	__class__ d/var/www/addictedbytheproject.nl/epg/venv/lib/python3.10/site-packages/torch/distributions/gumbel.pyr   %   s   zGumbel.__init__c                    s8   |  t|}| j||_| j||_t j||dS )N)	_instance)_get_checked_instancer   r   expandr   r   )r   batch_shaper$   newr    r"   r#   r&   =   s   zGumbel.expandc                 C   s6   | j r| | | j| | j }||  | j  S N)_validate_args_validate_sampler   r   explog)r   valueyr"   r"   r#   log_probD   s   
zGumbel.log_probc                 C   s   | j | jt  S r)   )r   r   r	   r   r"   r"   r#   meanJ   s   zGumbel.meanc                 C   s   | j S r)   )r   r1   r"   r"   r#   modeN   s   zGumbel.modec                 C   s   t jt d | j S )N   )mathpisqrtr   r1   r"   r"   r#   stddevR   s   zGumbel.stddevc                 C   s   | j dS )N   )r8   powr1   r"   r"   r#   varianceV   s   zGumbel.variancec                 C   s   | j  dt  S )Nr   )r   r-   r	   r1   r"   r"   r#   entropyZ   s   zGumbel.entropyr)   )__name__
__module____qualname____doc__r   realpositivearg_constraintssupportr   floatboolr   r&   r0   propertyr2   r3   r8   r;   r<   __classcell__r"   r"   r    r#   r      s2    )r5   r   r   torch.distributionsr   ,torch.distributions.transformed_distributionr   torch.distributions.transformsr   r   torch.distributions.uniformr   torch.distributions.utilsr   r	   torch.typesr
   __all__r   r"   r"   r"   r#   <module>   s   