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@ -57,7 +57,7 @@ object MuraxConfig{
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relaxedPcCalculation = true,
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prediction = NONE,
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catchAccessFault = false,
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compressedGen = false
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compressedGen = true
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),
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new DBusSimplePlugin(
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catchAddressMisaligned = false,
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@ -6,7 +6,7 @@ from sys import argv
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from gcloud import GCInstance
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gci = GCInstance("vexriscv")
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gci.create("n1-highcpu-8","")
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gci.create("n1-highcpu-8")
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gci.start()
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gci.stopHours(20)
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gci.stopScript("src/test/python/gcloud/stopScript.sh")
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@ -4,7 +4,7 @@ mkdir VexRiscv
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tar -xzf archive.tar.gz -C VexRiscv
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cd VexRiscv
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export VEXRISCV_REGRESSION_CONFIG_COUNT=32
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export VEXRISCV_REGRESSION_CONFIG_COUNT=16
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export VEXRISCV_REGRESSION_FREERTOS_COUNT=yes
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sbt test
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cd ..
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@ -1844,7 +1844,7 @@
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:107320008328C100E398A8FC0325C10013030500CE
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:107330009303000013170300930600000325810048
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:107340009305050013060000B3E7B6003368C700D5
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:10735000370710F0130587F4B7150000938505FA79
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:10735000370710F0130587F4B715000093850577FC
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:1073600013060000B386B70093880600B3B8F80090
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:107370003307C800B387E800138707009387060028
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:10738000130807002320F500232205011300000045
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@ -1772,11 +1772,11 @@
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:106EA000EFF04F9B8327C100238007000325C1001B
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:106EB0008320C102330585400324810213010105AB
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:106EC00067800000B70710F083A647F403A607F415
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:106ED00003A747F4E31AD7FEB7160000938606FA15
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:106ED00003A747F4E31AD7FEB71600009386067798
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:106EE000B306D60033B6C600B305E60023A4D7F434
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:106EF00023A6B7F467800000B70710F003A747F494
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:106F000003A607F483A647F4E31AD7FEB7160000DA
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:106F1000938606FAB306D60033B6C60023A4D7F488
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:106F100093860677B306D60033B6C60023A4D7F40B
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:106F2000B305E60023A6B7F49307000873A0473023
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:106F300067800000130101FF232481002326110034
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:106F4000979701009387476717940100130484669D
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@ -1148,7 +1148,7 @@
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:1047A000370510F0130545F40841B248E39EA8FC14
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:1047B00032452A8381431317030081462245AA8587
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:1047C0000146B3E7B6003368C700370710F013059A
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:1047D00087F48565938505FA0146B386B700B688E8
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:1047D00087F48565938505770146B386B700B6886B
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:1047E000B3B8F8003307C800B387E8003E87B68740
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:1047F0003A881CC123220501010041018280411138
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:1048000006C651379307000873A047300100B24035
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@ -1239,10 +1239,10 @@
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:104D5000C2C4C6C61ACEEFF06FD4B2472380070094
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:104D60003245B250018D225461618280B70710F044
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:104D700083A647F403A607F403A747F4E31AD7FE74
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:104D80008566938606FAB29633B6C600B305E6008A
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:104D8000856693860677B29633B6C600B305E6000D
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:104D900023A4D7F423A6B7F48280B70710F003A7A3
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:104DA00047F403A607F483A647F4E31AD7FE856603
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:104DB000938606FAB29633B6C60023A4D7F4B30599
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:104DB00093860677B29633B6C60023A4D7F4B3051C
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:104DC000E60023A6B7F49307000873A0473082805B
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:104DD000411122C406C697B701009387E77D17B437
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:104DE00001001304247D98431C401306F07C9306B5
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@ -1770,10 +1770,10 @@
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:106E80008327C100238007000325C1008320C1029E
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:106E9000330585400324810213010105678000004A
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:106EA000B70710F083A647F403A607F403A747F437
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:106EB000E31AD7FEB7160000938606FAB306D6008B
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:106EB000E31AD7FEB716000093860677B306D6000E
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:106EC00033B6C600B305E60023A4D7F423A6B7F46F
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:106ED00067800000B70710F003A747F403A607F484
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:106EE00083A647F4E31AD7FEB7160000938606FA86
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:106EE00083A647F4E31AD7FEB71600009386067709
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:106EF000B306D60033B6C60023A4D7F4B305E60024
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:106F000023A6B7F49307000873A0473067800000FA
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:106F1000130101FF2324810023261100979701000C
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@ -1237,10 +1237,10 @@
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:104D3000BEC236DEBAC0C2C4C6C61ACEEFF06FD449
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:104D4000B247238007003245B250018D2254616181
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:104D50008280B70710F083A647F403A607F403A7E1
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:104D600047F4E31AD7FE8566938606FAB29633B601
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:104D600047F4E31AD7FE856693860677B29633B684
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:104D7000C600B305E60023A4D7F423A6B7F48280C7
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:104D8000B70710F003A747F403A607F483A647F478
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:104D9000E31AD7FE8566938606FAB29633B6C60046
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:104D9000E31AD7FE856693860677B29633B6C600C9
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:104DA00023A4D7F4B305E60023A6B7F493070008BD
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:104DB00073A047308280411122C406C697B7010014
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:104DC0009387C77317B401001304047398431C40FE
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@ -462,7 +462,7 @@ class TestIndividualFeatures extends FunSuite {
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new HazardDimension,
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new RegFileDimension,
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new SrcDimension,
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new CsrDimension(sys.env.getOrElse("VEXRISCV_REGRESSION_FREERTOS_COUNT", "yes")), //todo restore yes to 4 ?
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new CsrDimension(sys.env.getOrElse("VEXRISCV_REGRESSION_FREERTOS_COUNT", "4")),
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new DecoderDimension,
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new DebugDimension
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)
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@ -522,10 +522,9 @@ class TestIndividualFeatures extends FunSuite {
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// val seed = -2412372746600605141l
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// val testId = Some(mutable.HashSet[Int](32))
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// val seed = -1807241812308067688l
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// val testId = Some(mutable.HashSet[Int](6))
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// val seed = 157974189776419693l
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//TODO restore all mai n.cpp rtos tests and restore config count in gcloud
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val rand = new Random(seed)
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@ -533,7 +532,7 @@ class TestIndividualFeatures extends FunSuite {
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println(s"MAIN_SEED=$seed")
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}
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println(s"Seed=$seed")
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for(i <- 0 until sys.env.getOrElse("VEXRISCV_REGRESSION_CONFIG_COUNT", "200").toInt){
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for(i <- 0 until sys.env.getOrElse("VEXRISCV_REGRESSION_CONFIG_COUNT", "100").toInt){
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var positions : List[VexRiscvPosition] = null
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val universe = VexRiscvUniverse.universes.filter(e => rand.nextBoolean()) :+ VexRiscvUniverse.CATCH_ALL //TODO
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if(testId.isEmpty || testId.get.contains(i))
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doTest(positions," random_" + i + "_", testSeed)
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}
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//TODO main.cpp freertos
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// println(s"${usedPositions.size}/$positionsCount positions")
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// for (dimension <- dimensions) {
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