
    j                     p    d dl Z d dl mZ d dlmZ d dlmZ d dlmZ d dlm	Z	m
Z
 dgZ G d de          ZdS )	    N)Tensor)constraints)Distribution)broadcast_all)_Number_sizeLaplacec            	       <    e Zd ZdZej        ej        dZej        Z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d
eez  deez  ded	z  dd	f fdZd fd	Z ej                    fdedefdZd Zd Zd Zd Z xZS )r	   a  
    Creates a Laplace distribution parameterized by :attr:`loc` and :attr:`scale`.

    Example::

        >>> # xdoctest: +IGNORE_WANT("non-deterministic")
        >>> m = Laplace(torch.tensor([0.0]), torch.tensor([1.0]))
        >>> m.sample()  # Laplace distributed with loc=0, scale=1
        tensor([ 0.1046])

    Args:
        loc (float or Tensor): mean of the distribution
        scale (float or Tensor): scale of the distribution
    )locscaleTreturnc                     | j         S Nr   selfs    e/lsinfo/ai/hellotax_ai/base_platform/venv/lib/python3.11/site-packages/torch/distributions/laplace.pymeanzLaplace.mean#   	    x    c                     | j         S r   r   r   s    r   modezLaplace.mode'   r   r   c                 <    d| j                             d          z  S N   )r   powr   s    r   variancezLaplace.variance+   s    4:>>!$$$$r   c                     d| j         z  S )Ng;f?)r   r   s    r   stddevzLaplace.stddev/   s    $*$$r   Nr   r   validate_argsc                 6   t          ||          \  | _        | _        t          |t                    r)t          |t                    rt          j                    }n| j                                        }t                      	                    ||           d S )Nr    )
r   r   r   
isinstancer   torchSizesizesuper__init__)r   r   r   r    batch_shape	__class__s        r   r(   zLaplace.__init__3   s      -S%88$*c7## 	*
5'(B(B 	**,,KK(--//KMBBBBBr   c                 N   |                      t          |          }t          j        |          }| j                            |          |_        | j                            |          |_        t          t          |                              |d           | j	        |_	        |S )NFr"   )
_get_checked_instancer	   r$   r%   r   expandr   r'   r(   _validate_args)r   r)   	_instancenewr*   s       r   r-   zLaplace.expand@   s    (()<<j--(//+..J%%k22	gs$$[$FFF!0
r   sample_shapec                    |                      |          }t          j        | j        j                  }t          j                                        rt          j        || j        j        | j        j                  dz  dz
  }| j        | j	        |
                                z  t          j        |                                                    |j                             z  z
  S | j                            |                              |j        dz
  d          }| j        | j	        |
                                z  t          j        |                                           z  z
  S )N)dtypedevicer      )min)_extended_shaper$   finfor   r3   _C_get_tracing_staterandr4   r   signlog1pabsclamptinyr0   uniform_eps)r   r1   shaper8   us        r   rsamplezLaplace.rsampleI   s   $$\22DHN++8&&(( 	
5txOOORSSVWWA8dj166883ek5:...7 7    HLL((Q:: x$*qvvxx/%+quuwwh2G2GGGGr   c                     | j         r|                     |           t          j        d| j        z             t          j        || j        z
            | j        z  z
  S r   )r.   _validate_sampler$   logr   r>   r   r   values     r   log_probzLaplace.log_probW   sW     	)!!%(((	!dj.)))EIedh6F,G,G$*,TTTr   c                     | j         r|                     |           dd|| j        z
                                  z  t	          j        || j        z
                                   | j        z            z  z
  S )N      ?)r.   rG   r   r<   r$   expm1r>   r   rI   s     r   cdfzLaplace.cdf\   s{     	)!!%(((SEDH,22444u{dh##%%%
28
 8
 
 
 	
r   c                     |dz
  }| j         | j        |                                z  t          j        d|                                z            z  z
  S )NrM   )r   r   r<   r$   r=   r>   )r   rJ   terms      r   icdfzLaplace.icdfc   sB    s{x$*{{}}4u{2

?7S7SSSSr   c                 @    dt          j        d| j        z            z   S )Nr5   r   )r$   rH   r   r   s    r   entropyzLaplace.entropyg   s    59Q^,,,,r   r   )__name__
__module____qualname____doc__r   realpositivearg_constraintssupporthas_rsamplepropertyr   r   r   r   r   floatboolr(   r-   r$   r%   r   rE   rK   rO   rS   rU   __classcell__)r*   s   @r   r	   r	      s          *.9MNNOGKf    X f    X %& % % % X% % % % % X% &*	C Ce^C ~C d{	C
 
C C C C C C      -7EJLL H HE HV H H H HU U U

 
 
T T T- - - - - - -r   )r$   r   torch.distributionsr    torch.distributions.distributionr   torch.distributions.utilsr   torch.typesr   r   __all__r	    r   r   <module>ri      s           + + + + + + 9 9 9 9 9 9 3 3 3 3 3 3 & & & & & & & & +Z- Z- Z- Z- Z-l Z- Z- Z- Z- Z-r   