Salome HOME
Fix Squish tests
[modules/shaper.git] / test.squish / suite_FEATURE_EXTRUSION / tst_extrusion_002 / verificationPoints / PREVIEW_FROM
1 <?xml version='1.0' encoding='UTF-8' standalone='no'?>
2 <VerificationPoint version="4" type="Screenshot">
3  <Description/>
4  <Verification options="0" type="PNG" object=":SALOME*.3D View Operations_OCCViewer_ViewPort3d">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<Mask>
5    <Rect width="45" x="13" y="410" height="58" type="negative"/>
6   </Mask>
7   <Algorithm description="Simple comparison (pixel by pixel)" name="simplecompare">
8    <Parameter description="Threshold" name="threshold">0.0006</Parameter>
9    <Parameter description="Tolerance" name="tolerance">0</Parameter>
10   </Algorithm>
11  </Verification>
12 </VerificationPoint>