| // Copyright 2016 The Go Authors. All rights reserved. | |
| // Use of this source code is governed by a BSD-style | |
| // license that can be found in the LICENSE file. | |
| package ssa | |
| // Code to compute lowest common ancestors in the dominator tree. | |
| // https://en.wikipedia.org/wiki/Lowest_common_ancestor | |
| // https://en.wikipedia.org/wiki/Range_minimum_query#Solution_using_constant_time_and_linearithmic_space | |
| // lcaRange is a data structure that can compute lowest common ancestor queries | |
| // in O(n lg n) precomputed space and O(1) time per query. | |
| type lcaRange struct { | |
| // Additional information about each block (indexed by block ID). | |
| blocks []lcaRangeBlock | |
| // Data structure for range minimum queries. | |
| // rangeMin[k][i] contains the ID of the minimum depth block | |
| // in the Euler tour from positions i to i+1<<k-1, inclusive. | |
| rangeMin [][]ID | |
| } | |
| type lcaRangeBlock struct { | |
| b *Block | |
| parent ID // parent in dominator tree. 0 = no parent (entry or unreachable) | |
| firstChild ID // first child in dominator tree | |
| sibling ID // next child of parent | |
| pos int32 // an index in the Euler tour where this block appears (any one of its occurrences) | |
| depth int32 // depth in dominator tree (root=0, its children=1, etc.) | |
| } | |
| func makeLCArange(f *Func) *lcaRange { | |
| dom := f.Idom() | |
| // Build tree | |
| blocks := make([]lcaRangeBlock, f.NumBlocks()) | |
| for _, b := range f.Blocks { | |
| blocks[b.ID].b = b | |
| if dom[b.ID] == nil { | |
| continue // entry or unreachable | |
| } | |
| parent := dom[b.ID].ID | |
| blocks[b.ID].parent = parent | |
| blocks[b.ID].sibling = blocks[parent].firstChild | |
| blocks[parent].firstChild = b.ID | |
| } | |
| // Compute euler tour ordering. | |
| // Each reachable block will appear #children+1 times in the tour. | |
| tour := make([]ID, 0, f.NumBlocks()*2-1) | |
| type queueEntry struct { | |
| bid ID // block to work on | |
| cid ID // child we're already working on (0 = haven't started yet) | |
| } | |
| q := []queueEntry{{f.Entry.ID, 0}} | |
| for len(q) > 0 { | |
| n := len(q) - 1 | |
| bid := q[n].bid | |
| cid := q[n].cid | |
| q = q[:n] | |
| // Add block to tour. | |
| blocks[bid].pos = int32(len(tour)) | |
| tour = append(tour, bid) | |
| // Proceed down next child edge (if any). | |
| if cid == 0 { | |
| // This is our first visit to b. Set its depth. | |
| blocks[bid].depth = blocks[blocks[bid].parent].depth + 1 | |
| // Then explore its first child. | |
| cid = blocks[bid].firstChild | |
| } else { | |
| // We've seen b before. Explore the next child. | |
| cid = blocks[cid].sibling | |
| } | |
| if cid != 0 { | |
| q = append(q, queueEntry{bid, cid}, queueEntry{cid, 0}) | |
| } | |
| } | |
| // Compute fast range-minimum query data structure | |
| var rangeMin [][]ID | |
| rangeMin = append(rangeMin, tour) // 1-size windows are just the tour itself. | |
| for logS, s := 1, 2; s < len(tour); logS, s = logS+1, s*2 { | |
| r := make([]ID, len(tour)-s+1) | |
| for i := 0; i < len(tour)-s+1; i++ { | |
| bid := rangeMin[logS-1][i] | |
| bid2 := rangeMin[logS-1][i+s/2] | |
| if blocks[bid2].depth < blocks[bid].depth { | |
| bid = bid2 | |
| } | |
| r[i] = bid | |
| } | |
| rangeMin = append(rangeMin, r) | |
| } | |
| return &lcaRange{blocks: blocks, rangeMin: rangeMin} | |
| } | |
| // find returns the lowest common ancestor of a and b. | |
| func (lca *lcaRange) find(a, b *Block) *Block { | |
| if a == b { | |
| return a | |
| } | |
| // Find the positions of a and bin the Euler tour. | |
| p1 := lca.blocks[a.ID].pos | |
| p2 := lca.blocks[b.ID].pos | |
| if p1 > p2 { | |
| p1, p2 = p2, p1 | |
| } | |
| // The lowest common ancestor is the minimum depth block | |
| // on the tour from p1 to p2. We've precomputed minimum | |
| // depth blocks for powers-of-two subsequences of the tour. | |
| // Combine the right two precomputed values to get the answer. | |
| logS := uint(log2(int64(p2 - p1))) | |
| bid1 := lca.rangeMin[logS][p1] | |
| bid2 := lca.rangeMin[logS][p2-1<<logS+1] | |
| if lca.blocks[bid1].depth < lca.blocks[bid2].depth { | |
| return lca.blocks[bid1].b | |
| } | |
| return lca.blocks[bid2].b | |
| } |