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Scala example source code file (Linearizers.scala)
The Linearizers.scala Scala example source code/* NSC -- new scala compiler * Copyright 2005-2013 LAMP/EPFL * @author Martin Odersky */ package scala package tools.nsc package backend package icode import scala.collection.{ mutable, immutable } import mutable.ListBuffer trait Linearizers { self: ICodes => import global.debuglog import opcodes._ abstract class Linearizer { def linearize(c: IMethod): List[BasicBlock] def linearizeAt(c: IMethod, start: BasicBlock): List[BasicBlock] } /** * A simple linearizer which predicts all branches to * take the 'success' branch and tries to schedule those * blocks immediately after the test. This is in sync with * how 'while' statements are translated (if the test is * 'true', the loop continues). */ class NormalLinearizer extends Linearizer with WorklistAlgorithm { type Elem = BasicBlock val worklist: WList = new mutable.Stack() var blocks: List[BasicBlock] = Nil def linearize(m: IMethod): List[BasicBlock] = { val b = m.startBlock blocks = Nil run { worklist pushAll (m.exh map (_.startBlock)) worklist.push(b) } blocks.reverse } def linearizeAt(m: IMethod, start: BasicBlock): List[BasicBlock] = { blocks = Nil worklist.clear() linearize(start) } /** Linearize another subtree and append it to the existing blocks. */ def linearize(startBlock: BasicBlock): List[BasicBlock] = { //blocks = startBlock :: Nil; run( { worklist.push(startBlock); } ) blocks.reverse } def processElement(b: BasicBlock) = if (b.nonEmpty) { add(b) b.lastInstruction match { case JUMP(whereto) => add(whereto) case CJUMP(success, failure, _, _) => add(success) add(failure) case CZJUMP(success, failure, _, _) => add(success) add(failure) case SWITCH(_, labels) => add(labels) case RETURN(_) => () case THROW(clasz) => () } } def dequeue: Elem = worklist.pop() /** * Prepend b to the list, if not already scheduled. * TODO: use better test than linear search */ def add(b: BasicBlock) { if (blocks.contains(b)) () else { blocks = b :: blocks worklist push b } } def add(bs: List[BasicBlock]): Unit = bs foreach add } /** * Linearize code using a depth first traversal. */ class DepthFirstLinerizer extends Linearizer { var blocks: List[BasicBlock] = Nil def linearize(m: IMethod): List[BasicBlock] = { blocks = Nil dfs(m.startBlock) m.exh foreach (b => dfs(b.startBlock)) blocks.reverse } def linearizeAt(m: IMethod, start: BasicBlock): List[BasicBlock] = { blocks = Nil dfs(start) blocks.reverse } def dfs(b: BasicBlock): Unit = if (b.nonEmpty && add(b)) b.successors foreach dfs /** * Prepend b to the list, if not already scheduled. * TODO: use better test than linear search * @return Returns true if the block was added. */ def add(b: BasicBlock): Boolean = !(blocks contains b) && { blocks = b :: blocks true } } /** * Linearize code in reverse post order. In fact, it does * a post order traversal, prepending visited nodes to the list. * This way, it is constructed already in reverse post order. */ class ReversePostOrderLinearizer extends Linearizer { var blocks: List[BasicBlock] = Nil val visited = new mutable.HashSet[BasicBlock] val added = new mutable.BitSet def linearize(m: IMethod): List[BasicBlock] = { blocks = Nil visited.clear() added.clear() m.exh foreach (b => rpo(b.startBlock)) rpo(m.startBlock) // if the start block has predecessors, it won't be the first one // in the linearization, so we need to enforce it here if (m.startBlock.predecessors eq Nil) blocks else m.startBlock :: (blocks.filterNot(_ == m.startBlock)) } def linearizeAt(m: IMethod, start: BasicBlock): List[BasicBlock] = { blocks = Nil visited.clear() added.clear() rpo(start) blocks } def rpo(b: BasicBlock): Unit = if (b.nonEmpty && !visited(b)) { visited += b b.successors foreach rpo add(b) } /** * Prepend b to the list, if not already scheduled. * @return Returns true if the block was added. */ def add(b: BasicBlock) = { debuglog("Linearizer adding block " + b.label) if (!added(b.label)) { added += b.label blocks = b :: blocks } } } /** A 'dump' of the blocks in this method, which does not * require any well-formedness of the basic blocks (like * the last instruction being a jump). */ class DumpLinearizer extends Linearizer { def linearize(m: IMethod): List[BasicBlock] = m.blocks def linearizeAt(m: IMethod, start: BasicBlock): List[BasicBlock] = sys.error("not implemented") } } Other Scala source code examplesHere is a short list of links related to this Scala Linearizers.scala source code file: |
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