Cleaning and remove BlockQ regression
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21ec368927
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@ -3443,7 +3443,7 @@ string freeRtosTests[] = {
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// "test1","test1","test1","test1","test1","test1","test1","test1"
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"AltQTest", "AltBlock", "AltPollQ", "blocktim", "countsem", "dead", "EventGroupsDemo", "flop", "integer", "QPeek",
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"QueueSet", "recmutex", "semtest", "TaskNotify", "BlockQ", "crhook", "dynamic",
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"QueueSet", "recmutex", "semtest", "TaskNotify", "crhook", "dynamic",
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"GenQTest", "PollQ", "QueueOverwrite", "QueueSetPolling", "sp_flop", "test1"
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//"BlockQ","BlockQ","BlockQ","BlockQ","BlockQ","BlockQ","BlockQ","BlockQ"
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// "flop"
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@ -3626,6 +3626,9 @@ static void multiThreading(queue<std::function<void()>> *lambdas, std::mutex *mu
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static void multiThreadedExecute(queue<std::function<void()>> &lambdas){
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std::mutex mutex;
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if(THREAD_COUNT == 1){
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multiThreading(&lambdas, &mutex);
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} else {
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std::thread * t[THREAD_COUNT];
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for(int id = 0;id < THREAD_COUNT;id++){
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t[id] = new thread(multiThreading,&lambdas,&mutex);
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@ -3634,6 +3637,7 @@ static void multiThreadedExecute(queue<std::function<void()>> &lambdas){
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t[id]->join();
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delete t[id];
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}
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}
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}
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int main(int argc, char **argv, char **env) {
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@ -561,17 +561,7 @@ class TestIndividualFeatures extends FunSuite {
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new MmuDimension
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)
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// def genDefaultsPositions(dims : Seq[VexRiscvDimension], stack : List[VexRiscvPosition] = Nil) : Seq[List[VexRiscvPosition]] = dims match {
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// case head :: tail => head.default.flatMap(p => genDefaultsPositions(tail, p :: stack))
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// case Nil => List(stack)
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// }
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// val usedPositions = mutable.HashSet[VexRiscvPosition]();
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// val positionsCount = dimensions.map(d => d.positions.length).sum
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def doTest(positionsToApply : List[VexRiscvPosition], prefix : String = "", testSeed : Int, universes : mutable.HashSet[VexRiscvUniverse]): Unit ={
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// usedPositions ++= positionsToApply
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val noMemory = universes.contains(VexRiscvUniverse.NO_MEMORY)
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val noWriteback = universes.contains(VexRiscvUniverse.NO_WRITEBACK)
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def gen = {
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@ -606,8 +596,6 @@ class TestIndividualFeatures extends FunSuite {
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}
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}
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// dimensions.foreach(d => d.positions.foreach(p => p.dimension = d))
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val testId : Option[mutable.HashSet[Int]] = None
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val seed = sys.env.getOrElse("VEXRISCV_REGRESSION_SEED", Random.nextLong().toString).toLong
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@ -655,31 +643,4 @@ class TestIndividualFeatures extends FunSuite {
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doTest(positions," random_" + i + "_", testSeed, universe)
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Hack.dCounter += 1
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}
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// println(s"${usedPositions.size}/$positionsCount positions")
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// for (dimension <- dimensions) {
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// for (position <- dimension.positions/* if position.name.contains("Cached")*/) {
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// for(defaults <- genDefaultsPositions(dimensions.filter(_ != dimension))){
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// doTest(position :: defaults)
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// }
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// }
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// }
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}
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/*
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val seed = -2412372746600605141l
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129
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FAIL AltQTest_rv32i_O3
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FAIL AltQTest_rv32ic_O3
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FAIL GenQTest_rv32i_O0
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134
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FAIL AltQTest_rv32i_O3
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val seed = 4331444545509090137l
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1 => flops i O0
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*/
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