
    Pi
                        d dl mZ d dlmZ d dlmc mZ ddlm	Z	m
Z
 d dlmZ ddlmZ  ed	          Zd
ee         de	e         fdZ eej                  Z eej                  Z eej                  Z eej                  Z eej                  Z eej                  Ze
dd            Ze
dd            Ze
dd            ZdS )    )TypeVar)JITFunctionN   )GluonJITFunctionjit)knobs   )_coreTfnreturnc                     t           j        j        st          | t                    sJ t          | j                  }| j        |_        |S N)r   runtime	interpret
isinstancer   r   r   __doc__)r   gluon_fns     /var/www/development/aibuddy-work/election-extract/venv/lib/python3.11/site-packages/triton/experimental/gluon/language/_standard.py_import_from_tritonr      s>    ="Aj[&A&AAAA25zzHzHO    c                 0    t          j        | d||          S )aV  
    Create a tensor filled with zeros.

    Args:
        shape (Sequence[int]): The shape of the tensor.
        dtype (dtype): The data type for the tensor.
        layout (Optional[DistributedLayout]): The distributed layout of the tensor, defaults to AutoLayout().

    Returns:
        tensor: A tensor where every element is zero.
    r   )ttglfullshapedtypelayouts      r   zerosr      s     9UAuf---r   c                 p    t          j        || j        n|||| j        n||| j        j        n|          S )a-  
    Create a tensor with the same properties as a given tensor, filled with a specified value.

    Args:
        input (tensor): Reference tensor to infer default shape, dtype, and layout.
        value (int or float): The fill value.
        shape (Sequence[int], optional): Target shape. Defaults to input.shape.
        dtype (dtype, optional): Target data type. Defaults to input.dtype.
        layout (DistributedLayout, optional): Target layout. Defaults to input.layout.

    Returns:
        tensor: A tensor where every element equals value.
    )r   r   r   r   typer   )inputvaluer   r   r   s        r   	full_liker$   +   sF     9}%}%#^
	  r   c                 *    t          | d|||          S )a  
    Create a tensor with the same properties as a given tensor, filled with zeros.

    Args:
        input (tensor): Reference tensor to infer default shape, dtype, and layout.
        shape (Sequence[int], optional): Target shape. Defaults to input.shape.
        dtype (dtype, optional): Target data type. Defaults to input.dtype.
        layout (DistributedLayout, optional): Target layout. Defaults to input.layout.

    Returns:
        tensor: A tensor where every element is zero.
    r   r   )r$   )r"   r   r   r   s       r   
zeros_liker&   B   s     UAU%GGGGr   r   )NNN)typingr   triton.runtime.jitr   triton.language.standardlanguagestandardtl_standard_runtimer   r   tritonr    r
   r   r   r   cdivsummaxmin	reduce_orxor_sumr   r$   r&    r   r   <module>r7      s         * * * * * * . . . . . . . . . , , , , , , , ,            GCLLKN /?/B     ;+,,+/**+/**+/** 566	

k1
2
2 . . . .    , H H H H H Hr   