
    Vh                     l    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
mZ dgZ G d de      Zy)	    N)nanTensor)constraints)Distribution)broadcast_all)_Number_sizeUniformc                   \    e Zd ZdZ ej
                  dd       ej
                  dd      d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 fd	Zd fd	Z ej                   dd      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  
    Generates uniformly distributed random samples from the half-open interval
    ``[low, high)``.

    Example::

        >>> m = Uniform(torch.tensor([0.0]), torch.tensor([5.0]))
        >>> m.sample()  # uniformly distributed in the range [0.0, 5.0)
        >>> # xdoctest: +SKIP
        tensor([ 2.3418])

    Args:
        low (float or Tensor): lower range (inclusive).
        high (float or Tensor): upper range (exclusive).
    Fr   )is_discrete	event_dim)lowhighTreturnc                 :    | j                   | j                  z   dz  S )N   r   r   selfs    K/home/dcms/DCMS/lib/python3.12/site-packages/torch/distributions/uniform.pymeanzUniform.mean%   s    		DHH$))    c                 (    t         | j                  z  S N)r   r   r   s    r   modezUniform.mode)   s    TYYr   c                 :    | j                   | j                  z
  dz  S )NgLXz@r   r   s    r   stddevzUniform.stddev-   s    		DHH$//r   c                 X    | j                   | j                  z
  j                  d      dz  S )Nr      )r   r   powr   s    r   variancezUniform.variance1   s%    		DHH$))!,r11r   c                    t        ||      \  | _        | _        t        |t              r%t        |t              rt        j                         }n| j                  j                         }t        | %  ||       | j                  rDt        j                  | j                  | j                        j                         st        d      y y )Nvalidate_argsz&Uniform is not defined when low>= high)r   r   r   
isinstancer   torchSizesizesuper__init___validate_argsltall
ValueError)r   r   r   r$   batch_shape	__class__s        r   r*   zUniform.__init__5   s    +C6$)c7#
4(A**,K((--/KMBuxx$))'D'H'H'JEFF (Kr   c                 *   | j                  t        |      }t        j                  |      }| j                  j                  |      |_        | j                  j                  |      |_        t        t        |#  |d       | j                  |_	        |S )NFr#   )
_get_checked_instancer
   r&   r'   r   expandr   r)   r*   r+   )r   r/   	_instancenewr0   s       r   r3   zUniform.expandA   st    (()<jj-((//+.99##K0gs$[$F!00
r   c                 V    t        j                  | j                  | j                        S r   )r   intervalr   r   r   s    r   supportzUniform.supportJ   s    ##DHHdii88r   sample_shapec                     | j                  |      }t        j                  || j                  j                  | j                  j
                        }| j                  || j                  | j                  z
  z  z   S )N)dtypedevice)_extended_shaper&   randr   r;   r<   r   )r   r9   shaper>   s       r   rsamplezUniform.rsampleN   sU    $$\2zz%txx~~dhhooNxx$$))dhh"6777r   c                    | j                   r| j                  |       | j                  j                  |      j	                  | j                        }| j
                  j                  |      j	                  | j                        }t        j                  |j                  |            t        j                  | j
                  | j                  z
        z
  S r   )
r+   _validate_sampler   letype_asr   gtr&   logmul)r   valuelbubs       r   log_probzUniform.log_probS   s    !!%(XX[[''1YY\\% ((2yy$uyyTXX1E'FFFr   c                     | j                   r| j                  |       || j                  z
  | j                  | j                  z
  z  }|j	                  dd      S )Nr      )minmax)r+   rB   r   r   clampr   rH   results      r   cdfzUniform.cdfZ   sL    !!%($(("tyy488';<||q|))r   c                 X    || j                   | j                  z
  z  | j                  z   }|S r   r   rQ   s      r   icdfzUniform.icdf`   s'    $))dhh./$((:r   c                 Z    t        j                  | j                  | j                  z
        S r   )r&   rF   r   r   r   s    r   entropyzUniform.entropyd   s    yyTXX-..r   r   )__name__
__module____qualname____doc__r   	dependentarg_constraintshas_rsamplepropertyr   r   r   r   r!   r*   r3   dependent_propertyr8   r&   r'   r	   r@   rK   rS   rU   rW   __classcell__)r0   s   @r   r
   r
      s
   $ %{$$!D%%%%1EO K*f * * f   0 0 0 2& 2 2
G $[##C9 D9 -7EJJL 8E 8V 8
G*/r   )r&   r   r   torch.distributionsr    torch.distributions.distributionr   torch.distributions.utilsr   torch.typesr   r	   __all__r
    r   r   <module>rh      s.      + 9 3 & +X/l X/r   