diff --git a/src/test/scala/vexriscv/TestIndividualFeatures.scala b/src/test/scala/vexriscv/TestIndividualFeatures.scala index 5204927..33e4aa6 100644 --- a/src/test/scala/vexriscv/TestIndividualFeatures.scala +++ b/src/test/scala/vexriscv/TestIndividualFeatures.scala @@ -293,9 +293,9 @@ class IBusDimension extends VexRiscvDimension("IBus") { if(r.nextDouble() < 0.5){ val latency = r.nextInt(5) + 1 - val compressed = true + val compressed = r.nextBoolean() val injectorStage = r.nextBoolean() || latency == 1 - val prediction = random(r, List(DYNAMIC_TARGET)) + val prediction = random(r, List(NONE, STATIC, DYNAMIC, DYNAMIC_TARGET)) val catchAll = universes.contains(VexRiscvUniverse.CATCH_ALL) val cmdForkOnSecondStage = r.nextBoolean() val cmdForkPersistence = r.nextBoolean() @@ -316,10 +316,10 @@ class IBusDimension extends VexRiscvDimension("IBus") { } } else { val catchAll = universes.contains(VexRiscvUniverse.CATCH_ALL) - val compressed = true + val compressed = r.nextBoolean() val tighlyCoupled = r.nextBoolean() && !catchAll // val tighlyCoupled = false - val prediction = random(r, List(DYNAMIC_TARGET)) + val prediction = random(r, List(NONE, STATIC, DYNAMIC, DYNAMIC_TARGET)) val relaxedPcCalculation, twoCycleCache, injectorStage = r.nextBoolean() val twoCycleRam = r.nextBoolean() && twoCycleCache val bytePerLine = List(8,16,32,64)(r.nextInt(4)) @@ -590,7 +590,7 @@ class TestIndividualFeatures extends FunSuite { test(prefix + name + "_test") { println("START TEST " + prefix + name) val debug = true - val stdCmd = (s"make clean run WITH_USER_IO=no REDO=10 TRACE=${if(debug) "yes" else "no"} TRACE_START=9999924910246l STOP_ON_ERROR=no FLOW_INFO=no DHRYSTONE=yes COREMARK=${sys.env.getOrElse("VEXRISCV_REGRESSION_COREMARK", "yes")} THREAD_COUNT=${sys.env.getOrElse("VEXRISCV_REGRESSION_THREAD_COUNT", 1)} ") + s" SEED=${testSeed} " + val stdCmd = (s"make clean run WITH_USER_IO=no REDO=10 TRACE=${if(debug) "yes" else "no"} TRACE_START=9999924910246l STOP_ON_ERROR=no FLOW_INFO=no STOP_ON_ERROR=no DHRYSTONE=yes COREMARK=${sys.env.getOrElse("VEXRISCV_REGRESSION_COREMARK", "yes")} THREAD_COUNT=${sys.env.getOrElse("VEXRISCV_REGRESSION_THREAD_COUNT", 1)} ") + s" SEED=${testSeed} " val testCmd = stdCmd + (positionsToApply).map(_.testParam).mkString(" ") println(testCmd) val str = doCmd(testCmd) @@ -603,8 +603,8 @@ class TestIndividualFeatures extends FunSuite { // val testId = Some(mutable.HashSet(3,4,9,11,13,16,18,19,20,21)) // val testId = Some(mutable.HashSet(24, 43, 49)) -// val testId = Some(mutable.HashSet(55)) -// val seed = 5354442454996442984l +// val testId = Some(mutable.HashSet(11)) +// val seed = -8309068850561113754l val rand = new Random(seed)