
    Si*                    N    S SK Jr  S SKrS SKrS SKJr  S SKJr   " S S\5      r	g)    )annotationsN)Base)expectc                  (    \ rS rSr\SS j5       rSrg)Round   c                 4   [         R                  R                  SS/S/S9n [        R                  " / SQ5      R                  [        R                  5      n[        R                  " / SQ5      R                  [        R                  5      n[        X/U/SS9  g )	Nr   xy)inputsoutputs)g?g      ?g?g333333?g      ?g?gffffff@g      @g@gg      gffffffgg      gffffff)        r         ?r          @r   r   r   g      @g             r   r   r   g      
test_round)r   r   name)onnxhelper	make_nodenparrayastypefloat32r   )noder
   r   s      `/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/onnx/backend/test/case/node/round.pyexportRound.export   s    {{$$5E % 
 HH
$ &
% 	
* HH
$ &
% 	
& 	tC!<@     N)returnNone)__name__
__module____qualname____firstlineno__staticmethodr   __static_attributes__r    r   r   r   r      s    /A /Ar   r   )

__future__r   numpyr   r   onnx.backend.test.case.baser   onnx.backend.test.case.noder   r   r    r   r   <module>r-      s$    #   , .1AD 1Ar   