
    Ǆg                     P    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)    )constraints)Normal)TransformedDistribution)StickBreakingTransformLogisticNormalc                        e Zd ZdZej
                  ej                  dZej                  Z	dZ
d fd	Zd fd	Zed        Zed        Z xZS )	r   a9  
    Creates a logistic-normal distribution parameterized by :attr:`loc` and :attr:`scale`
    that define the base `Normal` distribution transformed with the
    `StickBreakingTransform` such that::

        X ~ LogisticNormal(loc, scale)
        Y = log(X / (1 - X.cumsum(-1)))[..., :-1] ~ Normal(loc, scale)

    Args:
        loc (float or Tensor): mean of the base distribution
        scale (float or Tensor): standard deviation of the base distribution

    Example::

        >>> # logistic-normal distributed with mean=(0, 0, 0) and stddev=(1, 1, 1)
        >>> # of the base Normal distribution
        >>> # xdoctest: +IGNORE_WANT("non-deterministic")
        >>> m = LogisticNormal(torch.tensor([0.0] * 3), torch.tensor([1.0] * 3))
        >>> m.sample()
        tensor([ 0.7653,  0.0341,  0.0579,  0.1427])

    )locscaleTc                     t        |||      }|j                  s|j                  dg      }t        |   |t               |       y )N)validate_args   )r   batch_shapeexpandsuper__init__r   )selfr	   r
   r   	base_dist	__class__s        k/home/mcse/projects/flask_80/flask-venv/lib/python3.12/site-packages/torch/distributions/logistic_normal.pyr   zLogisticNormal.__init__&   sI    3]C	$$!((!-I-/} 	 	
    c                 R    | j                  t        |      }t        |   ||      S )N)	_instance)_get_checked_instancer   r   r   )r   r   r   newr   s       r   r   zLogisticNormal.expand.   s(    ((Cw~kS~99r   c                 B    | j                   j                   j                  S N)r   r	   r   s    r   r	   zLogisticNormal.loc2   s    ~~''+++r   c                 B    | j                   j                   j                  S r   )r   r
   r   s    r   r
   zLogisticNormal.scale6   s    ~~''---r   r   )__name__
__module____qualname____doc__r   realpositivearg_constraintssimplexsupporthas_rsampler   r   propertyr	   r
   __classcell__)r   s   @r   r   r      sb    , *..9M9MNO!!GK
: , , . .r   N)
torch.distributionsr   torch.distributions.normalr   ,torch.distributions.transformed_distributionr   torch.distributions.transformsr   __all__r    r   r   <module>r1      s(    + - P A 
-., -.r   