def main():
- #[project] NewGEOM
- #[Scenario] Boolean_001
- #[Topic] 'Boolean cut' functionality
- #[Tested functionality]
- #[Summary description]
- #[Expected results]
- #[General comments]
-
+ # [project] NewGEOM
+ # [Scenario] Boolean_001
+ # [Topic] 'Boolean cut' functionality
+ # [Tested functionality]
+ # [Summary description]
+ # [Expected results]
+ # [General comments]
+
source(findFile("scripts", "common.py"))
-
- #[section] Application start
- #[step] Launch SALOME
+
+ # [section] Application start
+ # [step] Launch SALOME
startApplication("salome_run.sh")
set_defaults()
-
- #[step] Open 'for_extrusion_001.hdf'
+
+ # [step] Open 'for_extrusion_001.hdf'
open(DATA_PATH + "/for_boolean_001.hdf")
-
- #[step] Activate NewGeom
+
+ # [step] Activate NewGeom
clickButton(waitForObject(":SALOME*.NewGeom_QToolButton"))
-
- #[step] Activate Part_1
+
+ # [step] Activate Part_1
waitForObjectItem(":Object browser_XGUI_DataTree", "Part\\_1 (Not loaded)")
clickItem(":Object browser_XGUI_DataTree", "Part\\_1 (Not loaded)", 48, 10, 0, Qt.LeftButton)
openItemContextMenu(waitForObject(":Object browser_XGUI_DataTree"), "Part\\_1 (Not loaded)", 48, 10, 0)
activateItem(waitForObjectItem(":_QMenu", "Activate"))
-
- #[step] Fit all
+
+ # [step] Fit all
fit_all()
test.vp("INIT")
-
- #[step] Implement boolean cut for existing objects
+
+ # [step] Implement boolean cut for existing objects
boolean_cut((139, 138), (420, 195))
- #[check] Check that operation has been executed successfully
+ # [check] Check that operation has been executed successfully [vp CUT]
test.vp("CUT")
-
+
# [step] Close application without saving
close_application()
<?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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cMwtqExsmYUO2ZnWn9Jqk8mr7kjy+T4MzmMTMia5TI5Q2y4IRhZM6LYY5vUzTFDPu8TORxGVmTNanK40KxJEYmsGUvsuOnW23OBbw8dImvWkMlpY02KGGRNBaxJtSuTI8yhq7Ila3arwNNY3FAHWVON2GOblM1r7hKZHFUmh5EzWTOkHM4lPwROp8maKpUQN/ncuxwOJoc3oU6QNetS4Lltww1VkTXVix03ObyRO4bOkTXrlckJZsMNnSNr6mLDTaTbXX4YrR9Dt8ia0RR4wosbxiRrahR7bJNaWoM3pOkiWTOO1s+65g9A3DAyWVO7EuKm+de7YgdFHSVrxtfKjLDd096GG0YgaxoSO27a+mauyUFR1OeuGbKmEgWe9sY2rJesaZQNN527RUOaSsiaChV42osbhidrmhZ7bJPa+A6vplvM7ZW902RN5Qo87cUNw5A17YgdN10f2+T8yt5RsqYOZZ72NtywNlnTJnGT4S3msJ8gHllTnwJPe2Mb1iBr2mfDTSa32JXvVrtI1tStwNNe3LAiWZOF2GOblP2Gm+6+sneFrGlGgae9NSmWkDUZiR03eY5tYryy50/WNKbA097YhsVkTXasSTV2i93aT9BpsqZhBZ724oYBWZOj2GOblEHcBPtuNX+yphUFnvbiBlmTrxLipvkNN4MPAj+qeZI1LSrwtLfhpmSTbR8AqxpcloG/wdq27cKG793CLUIhAr+ArGHhShc3BTKt6QYbbrp+i4UzrWlF1G00wxM3BZI1nVHCmlRqPG4CP55ZkTUNE+6LiZuiyJqOKSFujG3ikTWNcUqvxoabQsiaToodN9ak4pE1zTCAXJuxTQlkTYfZcNP1WyyHrKmbs3d44iY2WdNtscc2KfvfusCQZE19BM1oxE1UsiaC2HFjbBOArKmDE3V8NtzEI2visCbV9VsMTNZUzlixKsY2wciaUGKPbZK46SxZUyHnZB3ETRiyJqAS4saGm26RNZUQNHWzJhWArAkrdtwY23SLrBmT068xxjZdJ2uCs+Gm67cYg6wZh2Fh88RNd8ma+GKPbZK46QJZMxpnWrvETRfJmlKUEDc23BCGoMmHDTfdImvKEjtujG2IQTHnxtimQ2RNiWy46fotEpVzKWfiphNkTaFij22SNSm6RtB0hbjJnKwpWuy4MbahE5w2XWTDTbZkDeKm87dIdxnydZexTZ5kDbez4abrt0i3OENiEDe5kTX8SuyxTbLhhjwImnjETT5kDUvFjhtjG1rkZIjNhpscyBpWZk2q67dIbozuSmBs0zpZw6pij22SuKEpnvfSiJsWyRp2o4S4seGGmgiaklmTaoWsYSix48bYhsp5iknGNm2QNayDDTddv0WaYSDHYuKmSbKG9Yk9tkktxU3gx7M0UpXViJtmyBpGUULcGNuwLp5EhmHDTd1kDaOLHTfWpBiekRvDM7aplaxhXDbcdP0WGYfni9GIm5rIGioQe2yT/BA4KxE0jE/cVE7WUJnYcWNswwJPDdWy4aZCsoaKiZuu3yJrM0ijDsY2VZE11MKGm67fIst5FqibuBmfrKEuscc2yYabkggammRNahyyhnrFjhtjm/A84LTC2GZksoYmWJPq+i2WyXiMdombEcgaGhJ7bJPETSweW/IhbtZF1tCoEuLGhptOEzTkyYabIckaWhA7boxtOsrDSOaMbYYha2iNDTddv8VIDL3oCmObtcka2hR7bJNaipvAj2cd5CCdY2yzBllD+0qIG2ObDHmg6DRjmxXJGnIRO26sSeXGWIsAlM1ysoa82HDT9VvMn8eESJTNErKG7MQe2yQ/BN4eQUNIymYxWUOmYseNsU3DCr/7hKdsFsgasmZNquu3mAPDKkqgbAZkDbmLPbZJ4qZO5dxTSMompZTSZNsHALsxuEoDvz8N7lSTE4Xmb7F5gU8YYA2mNXRJ7MmNsU0lQt4pGJKBjayhe2y46fot1if2CAqGUXjZWISie6a2bI30TrzEwgpRauoONn+Ldej68QOVMK2hw2KvSSX/ws1wBA0sUfLAxrSGDithN3HD9675WxxHhw4VaIasofMW4ibk25s1qdVEfcaBccgagrDhpqZbzPDxDPxEA2Oyt4ZobLip/OZSNo9nVgcDOSt2e41pDdHYcFP5zaU8Hs88R0dAVmQNMdlw0/VbXCyHqAI6QdYQWSEbbgL/1oXATx9QB1lDcNakOnqLgZ8yoD6yhiJYk+rWLUZ9poC6yRoKUsiaVOpy3AR+goAG+AFvSuSHwDO8RUEDVSn2p7uTaQ1lsuEmq1sM/EQADZM1lMuGmxxuMerjD7TCIhQUsSaVmr2Dw9yiIQ3UYXp687Oe9fwrH/+4tg+kHaY1UMSaVMrpX7gJ/FAD7TKtgTuJPbnJYWxj1QnqMz29+QUv+MObbvqxaQ2Qkg03dd7i4s8A1MG0BlYWe2yT2vhN4IEfTMjB9PTmk0561S23/KLkaY2sgbXEjht7XCCM6enNMzN/dvPNNxeeNRahYC2xdxO3+3u5ASona2D3bLgBcjY9vfnUU994yy2/aPtA2tdv+wCgMwa/Umrx7tdItm27cOFfCgY6ZHp685/+6RltH0UuTGtgHWKvSaU2fusCMI7p6c2vfe3bbrvt1rYPJBeyBtbNmhSQg+npzW94w1m33fbLtg8kI7IGRjRYk0pB3/vFDeRscG2+6U3n3HqrOc2dyBoYXQlrUinuXAo6anp689ve9sGdO3fu3Hlb28eSHVkD4yohbgLfO+iQwZX4d3/3YUGzGlkD1bDhBqjV9PTms8/+5M6dO3ft2tn2seRL1kCVbLgBKudfXhierIGKlbAmleLOpSAri19JxM0wZA3UooS4CXzvoHWur9HIGqiRDTfACKK+aDRA1kDtCtlwE/LeQcMCv1Y0Q9ZAE6xJAWtzBVVC1kBzYseNNSkYmXlnVWQNNM2GG2CBi6VasgbaYcMNFC7wK0CLZA20JvaaVLLhBlbhuqiPrIGWWZOCokS92DMhayALhaxJpaB3EIbhEmiArIFclLAmlXyrSpECX9e5kTWQlxLiJvC9gyWc7Q2TNZAjG24ggKiXcM5kDeTLhhvoKCd2W2QNZK2ENankm1oCCXy1doKsgQ4oIW4C3zsK4RzOgayBzrDhBrKV24W5Y3Zm8IpRGlkDHVPIhpuQ946QAl+PXSRroHusSUEOnKUZkjXQVdakoEVRL72ukzXQbYWsSaWgd5AuckLmTNZA55WwJpV8c0wGAl9lYcgaCKKEuAl878icc68rZA2EYsMNVK5zF9T557+nzJ/uTrIGQrLhBirhNOscWQMxlbAmlTr4bTRdEfjaiU3WQGQlxE3ge0crun5GnXPOW4tdgUqyBkpgww0MKeplUg5ZA6UoZMNNyHtHA2JcHe94x1+WPKpJsgaKYk0KlnPORCJroDix48aaFMMLdp5s3fqawkc1SdZAsWy4oXDBTv43vvFUTZNkDRTOhhsKFPicR9ZA6WKvSSUbblgk6pnwute9wqhmQNYAKVmTogBRT+/TT3+Zplkga4BfKWRNKgW9g6wm8JN+2mknaprFZA1wJyWsSaW437izROAzeWbmeemOC5YFsgZYQQlxE/jekUKfvSmll73sdwXNimQNsCobbuioqCftwEtf+mxNs5qehwbYrR2zMyn0e7+4CSPwUzm4a8nC05pMa4DdK2FNKkX/Fj+8wOfnAkGzW6Y1wPrEntyU8NYYT/hnbXAHvV8PQ9YAo9gxOxP+XSTwHYwk9oxN0KyXrAFGFHtsk6K/XwYQuz4FzWhkDTCW2HET+42zu8I/L9PTm707j0bWABUQNzQm9hTNkGZMsgaojA031Cr2UyBoKiFrgCrFHtuk6KOCbAkahiRrgOrFjpvYb7G5Cf9o20ZTLVkD1MWaFGOKPRszpKmDrAFqFHtsk8RNbWI/sIKmPrIGqF0JcRP43jUsdtAkq041kzVAQ2LHTfg34waEfwwNaRoga4BG2XDDimJPvARNY2QN0LTYY5skbtYp9sMlaBoma4B2lBA3ge9dJWIHTbKNpg2yBmhT7LgJ/7Y9svCPjCFNW2QN0D4bbooSe44laNola4AsxB7bpOjv5UOKXXiCJgeyBshI7LiJ/aa+tvD33TaaTMgaIDviJpjYkypDmqzIGiBTNtwEEPtuCpoMyRogX7HHNin0u37gu5YETcYm2z4AgFUN3jZiv0G+//2fe+5zn5AC3cHB8/W+9332uON+u+1jqYVtNDmTNUDuFuImzBv/Euedd0m/3z/mmCNSx+NmEDT/8A9f2LVr19zcrrYPp3qGNPmTNUA3TG3ZGnts85GPfLnfn3jmMw9LXbuPg+clpXT++V8VNLRL1gCdUcKa1Cc+cXm/P3HUUQcP/jPnu7lQM5/+9DcHNbNrV8CgSVadOkXWAB1TQtxccMFVvV6v3+9v3vzghU9mcmcXauaii749Nzc3Nzc3Pz/f7iHVx5Cmc2QN0EnhN9wMfOYzV/d6/YEjj7zv4JPN3+WFlEkpff7z191RM3MNH0aTBE1HyRqgw8JvuFnskku+2+/3e73e4x53zyX/U+V3f3HHpJS2b//+/Px8CTWTBE3HyRqg20pYk1pi+/bv93r93iKPfvT+a/+VxY/MkmRZ0aWX/mh+fn5+fj6l+Ts+KIJtNF0na4AICoybxb72tRsHfZNSr9dLKfVSSgsfpJQOPnjTwh++8sr/vKNS5pd8MD8/Pz8/V1THLDCkiUHWAHEUsuFmBFde+fNF/1VcsqxN0EQia4BoitpwwzgETTyyBgio8DUphmEbTUiyBgjLmhQrMqQJTNYAwVmTYoGgCa+arDnzOc868v4Hzs+n62686aZbbnng/nfdZ689L/ve9dPv/cdKvj7AOKxJkaw6laGarNlvrz0vv/6G5207b/CfV7zi5A0TEx+84puVfHGASoibYhnSlKOarNm4YcPT/37b4OMtT3vSxg17XH79DR++8luVfHGACtlwUxRBU5pqsua6G29a+PiYgx+WUjr2nPdX8pUB6mDDTXiCpkzVZM0ffOjjgw/e+/xj+73ex67610q+LEB9rEkFZhtNsar8SaijHnLQYw689627dp1y/icr/LIA9RE3wRjSFK7KrJl94m/2Ujpr+6WD/zz+sEeee+kVFX59gJrYcBOAoCFVmDUvPeI37r3vPj/8+S/efPEXBp859pCHyxqgQ2y46ShBw4LKsubkIw7vpfTmiy9Z+MyGiYmqvjhAM6xJdY5tNCxWTda8/qjNm/bc8M0bfrjwb9V89EXP/9kvf7niH/6T//pbh9/nXgfut2+/19vxox8/590fGHz+9Cf99tMe+qBf3HbbZd+7/pUf+3QlBwYwAnHTCYY0LFdN1hx7yMNTSnfftPdHX/T8X9u09wEb/0tK6aId31nxD7/+/12cUvrKy0+6y157funfvrfw+df+02ePvP99n3LWuys5JIAx2XCTLUHDaqrJmof+1VvX+1fO+NwXXvPfnvjiww/9q8/+8+AzpzzhiA9946pKjgegKjbcZEXQsLbWftXltsu+fvxhj3zQ3Q5467Of9ocf/kRK6agHH3TUO89t63gAVmNNKhO20bBb/Uq+yg9ef/IIf+up79yWUjrqIQellN7yrKPe8vkvVnIwAHWY2rJ1YXJDw6anN2sahlHNtKbf32O0v3jhjms3Tz3g4pNf9L2f/PST/3J1JQcDUB9rUg2z6sS6VJA1O2b/c9990zWnHfDAN/xovX/3pPM+evWpL7/XPnf5rf/zrvGPBKAB1qQaY0LDelWQNb3eb6aUJiYek9Knxv9qAJ0gbmplSMNoKsiaiYlfTylNTu47/pcC6BY/BF45QcM4Ksia+/3Fp679X3Nzc2emdP/xvxpA59hwUwlBw/ha+wHvlNIJhz3qqQ896Jc7d6WU3j/9u5+95jt/+4Uvt3g8ACOzJjUm22ioRJtZ8+5LL3/3pZe3eAAA1RI3IzCkoUK1Z82OB8yklNJPUppIUz901gLx2XAzJEFD5eqf1kyk/sP7c1+fS1ekdJfabw0gEzbcrEHQUJMas2ZHmuk/vfimRKMAAAQTSURBVN+f6M99di7tn6bu4vQFymJNakW20VCfWrJmx1UzvZN6/bv25749N3XV1pRS+kkdtwPQAeJmgSENdas+a6555Cn9Z/Xnb5h/wPlnVP7FATqq8A03goZmVJk1O+470z+037ulN3fu3NQ+zl2ApQrccCNoaFIFWbP14Kkjf3TPa6894TF7bZ37ytzUv29N+6z158857uiH3v1uE/3+jTff/OFvfOutl2z/v/9z+u6b9r7xF7d858abXnLe+eMfEkC2Fq9JhWcbDQ3rj/8lDjzwwP322+8e97jHnz98burfd3/6vuB9H/rgFd/cd68995qcfOsl21NKT33ntutu/MmTzzxH0wCFmNqydfB+/9znPqHtY6nFccf9djKkoXG98c+5mY29xz/+8dcffvhUr/cf8/MvesNbhvlbF5/8onvtc5czv3TpGz/z+Y+9+PnP+Pv3jHkYAB21Y3YmpfSRj3y535+YmJgY/N9er9fv9/v9/h3///YPerdb+OBOUur1eimlXkpp4YN0x2fvMD8/v/IH8/Pz8/Nz84vc/rnB/zA3Nzc3d8f/X/zB/K5du+bmdg0cffRjk6ChJRVkzWLvOu2Uu/V618zPz+wubp70oAe+/Zhn7Jqb+/i3vv1vN/3kLZ/7YoWHAdA5g7j5xCcu72jWPPWphwy+lqChRRVnTUrphNmZZ/f7G1LaPjf3ujW/+DuOfebmgx7w81tvfdQZb6/2GAA6ahA3F1xwVYey5slPflhSM+Sh+qwZeP3szCP7/ZtT+sDc3Hmr38TVp748pfSqj1/wj9+4qo7DAOiiQdyklD7zmauzzZrf+Z2pwV8WNOSjrqwZeOtpp9yv13vIpk3X3nzzU17310v+1xc+5tD/8RuPOnC/fX/8i5sf+zdn1ncYAB210DcppUsu+W4OWXPkkQcO/o6aIUP1Zk1K6XN/fupdJic3TUz84NZbH/9nWxb/T5868finnHXup19ywgP3v+t7Lvv66Z++qNYjAei0hcTZvv37DWfN4Yf/+sJfVjPkrPasSSmdNjuzd6/36ImJn+3addwdW4nP/r1nn/3Vr31mx3dSSlef+vL5lB70xv9d95EABLB4hDPwta/dWGHWHHroXZd8fSlDVzSRNcsdc/DDnvCA+73io58c/Oebn/mUZz38IVfe8IP/fvb7mj8YgK5bHjrLXXnlzwcfPOIRe6/9J0UM3VXjb/Be0XGHHnzcow6+7133vfnW2/7oyMf+zT9vTykddMD+t+7aNXXA/ued8Hv/9O1r3v7FrzR8VACdNkyILNSMaiGwdqY1AACVq+CXJwAA5EDWAABByBoAIAhZAwAEIWsAgCBkDQAQhKwBAIKQNQBAELIGAAhC1gAAQcgaACAIWQMABCFrAIAg/j8PKU9quFUgsAAAAABJRU5ErkJggg==<Mask>
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+<Rect height="27" type="negative" width="28" x="369" y="186"/>
</Mask>
<Algorithm description="Strict mode" name="strict"/>
</Verification>
-<Verification object=":SALOME*.3D View Operations_OCCViewer_ViewPort3d" 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<Mask/>
-</Verification>
</VerificationPoint>
def main():
- #[project] NewGEOM
- #[Scenario] Boolean_002
- #[Topic] 'Boolean fuse' functionality
- #[Tested functionality]
- #[Summary description]
- #[Expected results]
- #[General comments]
-
+ # [project] NewGEOM
+ # [Scenario] Boolean_002
+ # [Topic] 'Boolean fuse' functionality
+ # [Tested functionality]
+ # [Summary description]
+ # [Expected results]
+ # [General comments]
+
source(findFile("scripts", "common.py"))
-
- #[section] Application start
- #[step] Launch SALOME
+
+ # [section] Application start
+ # [step] Launch SALOME
startApplication("salome_run.sh")
set_defaults()
-
- #[step] Open 'for_extrusion_001.hdf'
+
+ # [step] Open 'for_extrusion_001.hdf'
open(DATA_PATH + "/for_boolean_001.hdf")
-
- #[step] Activate NewGeom
+
+ # [step] Activate NewGeom
clickButton(waitForObject(":SALOME*.NewGeom_QToolButton"))
-
- #[step] Activate Part_1
+
+ # [step] Activate Part_1
waitForObjectItem(":Object browser_XGUI_DataTree", "Part\\_1 (Not loaded)")
clickItem(":Object browser_XGUI_DataTree", "Part\\_1 (Not loaded)", 48, 10, 0, Qt.LeftButton)
openItemContextMenu(waitForObject(":Object browser_XGUI_DataTree"), "Part\\_1 (Not loaded)", 48, 10, 0)
activateItem(waitForObjectItem(":_QMenu", "Activate"))
-
- #[step] Fit all
+
+ # [step] Fit all
fit_all()
- test.vp("INIT")
+ test.vp("INIT")
- #[step] Implement boolean fuse for existing objects
+ # [step] Implement boolean fuse for existing objects
boolean_fuse((139, 138), (420, 195))
- #[check] Check that operation has been executed successfully
+ # [check] Check that operation has been executed successfully
test.vp("FUSE")
-
+
# [step] Close application without saving
close_application()
def main():
- #[project] NewGEOM
- #[Scenario] Boolean_003
- #[Topic] 'Boolean common' functionality
- #[Tested functionality]
- #[Summary description]
- #[Expected results]
- #[General comments]
-
+ # [project] NewGEOM
+ # [Scenario] Boolean_003
+ # [Topic] 'Boolean common' functionality
+ # [Tested functionality]
+ # [Summary description]
+ # [Expected results]
+ # [General comments]
+
source(findFile("scripts", "common.py"))
-
- #[section] Application start
- #[step] Launch SALOME
+
+ # [section] Application start
+ # [step] Launch SALOME
startApplication("salome_run.sh")
set_defaults()
-
- #[step] Open 'for_extrusion_001.hdf'
+
+ # [step] Open 'for_extrusion_001.hdf'
open(DATA_PATH + "/for_boolean_001.hdf")
-
- #[step] Activate NewGeom
+
+ # [step] Activate NewGeom
clickButton(waitForObject(":SALOME*.NewGeom_QToolButton"))
-
- #[step] Activate Part_1
+
+ # [step] Activate Part_1
waitForObjectItem(":Object browser_XGUI_DataTree", "Part\\_1 (Not loaded)")
clickItem(":Object browser_XGUI_DataTree", "Part\\_1 (Not loaded)", 48, 10, 0, Qt.LeftButton)
openItemContextMenu(waitForObject(":Object browser_XGUI_DataTree"), "Part\\_1 (Not loaded)", 48, 10, 0)
activateItem(waitForObjectItem(":_QMenu", "Activate"))
-
- #[step] Fit all
+
+ # [step] Fit all
fit_all()
test.vp("INIT")
- #[step] Implement boolean common for existing objects
+ # [step] Implement boolean common for existing objects
boolean_common((139, 138), (420, 195))
- #[check] Check that operation has been executed successfully
+ # [check] Check that operation has been executed successfully
test.vp("COMMON")
-
+
# [step] Close application without saving
close_application()
-<?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>
+ <Algorithm description="Strict mode" name="strict"/>
+ </Verification>
</VerificationPoint>
