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squish tests correction: processing on debian
[modules/shaper.git] / test.squish / suite_FEATURE_EXTRUSION / tst_extrusion_006 / verificationPoints / EXTRUSION_CUT
1 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
2 <VerificationPoint type="Screenshot" version="4">
3 <Description/>
4 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<Mask>
5 <Rect height="30" type="negative" width="29" x="367" y="174"/>
6 <Rect height="30" type="negative" width="29" x="454" y="291"/>
7 <Rect height="55" type="negative" width="49" x="12" y="440"/>
8 <Rect height="203" type="negative" width="368" x="251" y="151"/>
9 </Mask>
10 <Algorithm description="Strict mode" name="strict"/>
11 </Verification>
12 </VerificationPoint>