squish tests correction: suite_FEATURE_BOOLEAN/tst_boolean_001

diff --git a/test.squish/shared/testdata/SalomeApp.xml b/test.squish/shared/testdata/SalomeApp.xml
index aeac49ce897c3f002e96f3ecc13a49b284f6613b..3d4cd1da0b35faaf776c21ef9aa1c09ce2d78a9a 100644 (file)
--- a/test.squish/shared/testdata/SalomeApp.xml
+++ b/test.squish/shared/testdata/SalomeApp.xml
@@ -17,7 +17,8 @@ Changes made in this file can be lost!
   <parameter value="false" name="auto_bring_to_front"/>
  </section>
  <section name="MRU">
-  <parameter value="/dn20/salome/mpv/CEA_Reactor7.hdf" name="item_000"/>
+  <parameter value="/dn48/newgeom/nds/V2.2.0_coldrex/sources/test.squish/shared/testdata/for_boolean_001.hdf" name="item_000"/>
+  <parameter value="/dn20/salome/mpv/CEA_Reactor7.hdf" name="item_001"/>
  </section>
  <section name="OCCViewer">
   <parameter value="bt=1;fn=;tm=0;ts=false;c1=#238891;c2=#238891;gt=-1;gr=" name="background"/>
@@ -91,10 +92,10 @@ Changes made in this file can be lost!
   <parameter value="bt=1;fn=;tm=0;ts=false;c1=#000000;c2=#000000;gt=-1;gr=" name="background"/>
  </section>
  <section name="desktop">
-  <parameter value="902x600+352+0" name="geometry"/>
+  <parameter value="1024x768+352+0" name="geometry"/>
  </section>
  <section name="salome">
-  <parameter value="7.6.0" name="version"/>
+  <parameter value="7.7.0dev" name="version"/>
  </section>
  <section name="shortcuts:General">
   <parameter value="Ctrl+T" name="Show object(s)"/>
@@ -113,17 +114,19 @@ Changes made in this file can be lost!
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  </section>
  <section name="windows_geometry_version">
   <parameter value="7.5.0" name="SMESH"/>
   <parameter value="7.5.0" name="GEOM"/>
   <parameter value="7.5.1dev" name="HYDRO"/>
-  <parameter value="7.6.0" name=""/>
-  <parameter value="7.6.0" name="nomodule"/>
   <parameter value="7.6.0" name="NewGeom"/>
+  <parameter value="7.7.0dev" name=""/>
+  <parameter value="7.7.0dev" name="nomodule"/>
+  <parameter value="7.7.0dev" name="SHAPER"/>
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@@ -132,6 +135,7 @@ Changes made in this file can be lost!
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   <parameter value="#00 #00 #00 #00 #15 #00 #00 #00 #10 #00 #41 #00 #64 #00 #76 #00 #61 #00 #6E #00 #63 #00 #65 #00 #64 #01 #00 #00 #00 #0C #00 #42 #00 #6C #00 #6F #00 #63 #00 #6B #00 #73 #01 #00 #00 #00 #18 #00 #43 #00 #6F #00 #6E #00 #73 #00 #74 #00 #72 #00 #75 #00 #63 #00 #74 #00 #69 #00 #6F #00 #6E #01 #00 #00 #00 #10 #00 #46 #00 #65 #00 #61 #00 #74 #00 #75 #00 #72 #00 #65 #00 #73 #01 #00 #00 #00 #12 #00 #47 #00 #45 #00 #4F #00 #4D #00 #42 #00 #61 #00 #73 #00 #69 #00 #63 #01 #00 #00 #00 #2A #00 #47 #00 #45 #00 #4F #00 #4D #00 #42 #00 #6F #00 #6F #00 #6C #00 #65 #00 #61 #00 #6E #00 #4F #00 #70 #00 #65 #00 #72 #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #00 #73 #01 #00 #00 #00 #12 #00 #47 #00 #45 #00 #4F #00 #4D #00 #42 #00 #75 #00 #69 #00 #6C #00 #64 #01 #00 #00 #00 #1C #00 #47 #00 #45 #00 #4F #00 #4D #00 #47 #00 #65 #00 #6E #00 #65 #00 #72 #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #01 #00 #00 #00 #18 #00 #47 #00 #45 #00 #4F #00 #4D #00 #4D #00 #65 #00 #61 #00 #73 #00 #75 #00 #72 #00 #65 #00 #73 #00 #00 #00 #00 #20 #00 #47 #00 #45 #00 #4F #00 #4D #00 #4D #00 #6F #00 #64 #00 #69 #00 #66 #00 #69 #00 #63 #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #01 #00 #00 #00 #1C #00 #47 #00 #45 #00 #4F #00 #4D #00 #4F #00 #70 #00 #65 #00 #72 #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #00 #73 #01 #00 #00 #00 #18 #00 #47 #00 #45 #00 #4F #00 #4D #00 #50 #00 #69 #00 #63 #00 #74 #00 #75 #00 #72 #00 #65 #00 #73 #01 #00 #00 #00 #1C #00 #47 #00 #45 #00 #4F #00 #4D #00 #50 #00 #72 #00 #69 #00 #6D #00 #69 #00 #74 #00 #69 #00 #76 #00 #65 #00 #73 #01 #00 #00 #00 #24 #00 #47 #00 #45 #00 #4F #00 #4D #00 #54 #00 #72 #00 #61 #00 #6E #00 #73 #00 #66 #00 #6F #00 #72 #00 #6D #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #01 #00 #00 #00 #0C #00 #4D #00 #61 #00 #63 #00 #72 #00 #6F #00 #73 #01 #00 #00 #00 #0E #00 #4D #00 #6F #00 #64 #00 #75 #00 #6C #00 #65 #00 #73 #01 #00 #00 #00 #08 #00 #50 #00 #61 #00 #72 #00 #74 #01 #00 #00 #00 #1A #00 #53 #00 #61 #00 #6C #00 #6F #00 #6D #00 #65 #00 #4D #00 #6F #00 #64 #00 #75 #00 #6C #00 #65 #00 #73 #01 #00 #00 #00 #1C #00 #53 #00 #61 #00 #6C #00 #6F #00 #6D #00 #65 #00 #53 #00 #74 #00 #61 #00 #6E #00 #64 #00 #61 #00 #72 #00 #64 #01 #00 #00 #00 #0C #00 #53 #00 #6B #00 #65 #00 #74 #00 #63 #00 #68 #01 #00 #00 #00 #10 #00 #53 #00 #74 #00 #61 #00 #6E #00 #64 #00 #61 #00 #72 #00 #64 #01 #01 #00 #00 #00 #07 #FF #FF #FF #FF #00 #00 #00 #00 #22 #00 #6F #00 #62 #00 #6A #00 #65 #00 #63 #00 #74 #00 #42 #00 #72 #00 #6F #00 #77 #00 #73 #00 #65 #00 #72 #00 #44 #00 #6F #00 #63 #00 #6B #01 #00 #00 #00 #26 #00 #70 #00 #72 #00 #6F #00 #70 #00 #65 #00 #72 #00 #74 #00 #79 #00 #5F #00 #70 #00 #61 #00 #6E #00 #65 #00 #6C #00 #5F #00 #64 #00 #6F #00 #63 #00 #6B #00 #00 #00 #00 #22 #00 #70 #00 #79 #00 #74 #00 #68 #00 #6F #00 #6E #00 #43 #00 #6F #00 #6E #00 #73 #00 #6F #00 #6C #00 #65 #00 #44 #00 #6F #00 #63 #00 #6B #01 #00 #00 #00 #10 #00 #77 #00 #69 #00 #6E #00 #64 #00 #6F #00 #77 #00 #5F #00 #30 #01 #00 #00 #00 #10 #00 #77 #00 #69 #00 #6E #00 #64 #00 #6F #00 #77 #00 #5F #00 #31 #01 #00 #00 #00 #10 #00 #77 #00 #69 #00 #6E #00 #64 #00 #6F #00 #77 #00 #5F #00 #33 #01" name="nomodule"/>
   <parameter value="#00 #00 #00 #00 #08 #00 #00 #00 #18 #00 #43 #00 #6F #00 #6E #00 #73 #00 #74 #00 #72 #00 #75 #00 #63 #00 #74 #00 #69 #00 #6F #00 #6E #01 #00 #00 #00 #10 #00 #46 #00 #65 #00 #61 #00 #74 #00 #75 #00 #72 #00 #65 #00 #73 #01 #00 #00 #00 #0C #00 #4D #00 #61 #00 #63 #00 #72 #00 #6F #00 #73 #01 #00 #00 #00 #32 #00 #4F #00 #43 #00 #43 #00 #56 #00 #69 #00 #65 #00 #77 #00 #65 #00 #72 #00 #33 #00 #44 #00 #56 #00 #69 #00 #65 #00 #77 #00 #4F #00 #70 #00 #65 #00 #72 #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #00 #73 #01 #00 #00 #00 #08 #00 #50 #00 #61 #00 #72 #00 #74 #01 #00 #00 #00 #1A #00 #53 #00 #61 #00 #6C #00 #6F #00 #6D #00 #65 #00 #4D #00 #6F #00 #64 #00 #75 #00 #6C #00 #65 #00 #73 #01 #00 #00 #00 #1C #00 #53 #00 #61 #00 #6C #00 #6F #00 #6D #00 #65 #00 #53 #00 #74 #00 #61 #00 #6E #00 #64 #00 #61 #00 #72 #00 #64 #01 #00 #00 #00 #0C #00 #53 #00 #6B #00 #65 #00 #74 #00 #63 #00 #68 #01 #01 #00 #00 #00 #03 #FF #FF #FF #FF #01 #00 #00 #00 #26 #00 #70 #00 #72 #00 #6F #00 #70 #00 #65 #00 #72 #00 #74 #00 #79 #00 #5F #00 #70 #00 #61 #00 #6E #00 #65 #00 #6C #00 #5F #00 #64 #00 #6F #00 #63 #00 #6B #01 #00 #00 #00 #22 #00 #70 #00 #79 #00 #74 #00 #68 #00 #6F #00 #6E #00 #43 #00 #6F #00 #6E #00 #73 #00 #6F #00 #6C #00 #65 #00 #44 #00 #6F #00 #63 #00 #6B #01" name="NewGeom"/>
+  <parameter value="#00 #00 #00 #00 #08 #00 #00 #00 #18 #00 #43 #00 #6F #00 #6E #00 #73 #00 #74 #00 #72 #00 #75 #00 #63 #00 #74 #00 #69 #00 #6F #00 #6E #01 #00 #00 #00 #10 #00 #46 #00 #65 #00 #61 #00 #74 #00 #75 #00 #72 #00 #65 #00 #73 #01 #00 #00 #00 #0C #00 #4D #00 #61 #00 #63 #00 #72 #00 #6F #00 #73 #01 #00 #00 #00 #32 #00 #4F #00 #43 #00 #43 #00 #56 #00 #69 #00 #65 #00 #77 #00 #65 #00 #72 #00 #33 #00 #44 #00 #56 #00 #69 #00 #65 #00 #77 #00 #4F #00 #70 #00 #65 #00 #72 #00 #61 #00 #74 #00 #69 #00 #6F #00 #6E #00 #73 #01 #00 #00 #00 #08 #00 #50 #00 #61 #00 #72 #00 #74 #01 #00 #00 #00 #1A #00 #53 #00 #61 #00 #6C #00 #6F #00 #6D #00 #65 #00 #4D #00 #6F #00 #64 #00 #75 #00 #6C #00 #65 #00 #73 #01 #00 #00 #00 #1C #00 #53 #00 #61 #00 #6C #00 #6F #00 #6D #00 #65 #00 #53 #00 #74 #00 #61 #00 #6E #00 #64 #00 #61 #00 #72 #00 #64 #01 #00 #00 #00 #0C #00 #53 #00 #6B #00 #65 #00 #74 #00 #63 #00 #68 #01 #01 #00 #00 #00 #03 #FF #FF #FF #FF #01 #00 #00 #00 #26 #00 #70 #00 #72 #00 #6F #00 #70 #00 #65 #00 #72 #00 #74 #00 #79 #00 #5F #00 #70 #00 #61 #00 #6E #00 #65 #00 #6C #00 #5F #00 #64 #00 #6F #00 #63 #00 #6B #00 #00 #00 #00 #22 #00 #70 #00 #79 #00 #74 #00 #68 #00 #6F #00 #6E #00 #43 #00 #6F #00 #6E #00 #73 #00 #6F #00 #6C #00 #65 #00 #44 #00 #6F #00 #63 #00 #6B #01" name="SHAPER"/>
  </section>
 </document>
 

diff --git a/test.squish/suite_FEATURE_BOOLEAN/tst_boolean_001/verificationPoints/CUT b/test.squish/suite_FEATURE_BOOLEAN/tst_boolean_001/verificationPoints/CUT
index 6a82439d466b80a67699f18ca7fe18607cc3aaf9..aad6624353569978a4cb9a7b9c04e3c19039c02a 100644 (file)
--- a/test.squish/suite_FEATURE_BOOLEAN/tst_boolean_001/verificationPoints/CUT
+++ b/test.squish/suite_FEATURE_BOOLEAN/tst_boolean_001/verificationPoints/CUT
@@ -1,10 +1,10 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<VerificationPoint type="Screenshot" version="4">
-<Description/>
-<Verification object=":SALOME*.3D View Operations_OCCViewer_ViewPort3d" 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<Mask>
+   <Rect width="47" x="13" y="437" height="57" type="negative"/>
+   <Rect width="28" x="369" y="199" height="27" type="negative"/>
+  </Mask>
+  <Algorithm description="Strict mode" name="strict"/>
+ </Verification>
 </VerificationPoint>