a
    MSic                     @   s,   d dl mZ d dlmZ G dd deZdS )    )constraints)Gammac                       sF   e Zd ZdZdejiZd
 fdd	Zd fdd	Ze	dd	 Z
  ZS )Chi2ay  
    Creates a Chi-squared distribution parameterized by shape parameter :attr:`df`.
    This is exactly equivalent to ``Gamma(alpha=0.5*df, beta=0.5)``

    Example::

        >>> m = Chi2(torch.tensor([1.0]))
        >>> m.sample()  # Chi2 distributed with shape df=1
        tensor([ 0.1046])

    Args:
        df (float or Tensor): shape parameter of the distribution
    dfNc                    s   t t| jd| d|d d S )Ng      ?)validate_args)superr   __init__)selfr   r   	__class__ T/var/www/html/django/DPS/env/lib/python3.9/site-packages/torch/distributions/chi2.pyr      s    zChi2.__init__c                    s   |  t|}tt| ||S )N)_get_checked_instancer   r   expand)r	   batch_shape	_instancenewr
   r   r   r      s    zChi2.expandc                 C   s
   | j d S )N   )concentration)r	   r   r   r   r      s    zChi2.df)N)N)__name__
__module____qualname____doc__r   positivearg_constraintsr   r   propertyr   __classcell__r   r   r
   r   r      s   
r   N)Ztorch.distributionsr   Ztorch.distributions.gammar   r   r   r   r   r   <module>   s   