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-rw-r--r--vendor/github.com/mattermost/rsc/regexp/regmerge/sort.go199
1 files changed, 0 insertions, 199 deletions
diff --git a/vendor/github.com/mattermost/rsc/regexp/regmerge/sort.go b/vendor/github.com/mattermost/rsc/regexp/regmerge/sort.go
deleted file mode 100644
index e40f87714..000000000
--- a/vendor/github.com/mattermost/rsc/regexp/regmerge/sort.go
+++ /dev/null
@@ -1,199 +0,0 @@
-// Copyright 2012 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.
-
-// Copy of go/src/pkg/sort/sort.go, specialized for []int
-// and to remove some array indexing.
-
-package main
-
-func min(a, b int) int {
- if a < b {
- return a
- }
- return b
-}
-
-// Insertion sort
-func insertionSort(data []int, a, b int) {
- for i := a + 1; i < b; i++ {
- for j := i; j > a && data[j] < data[j-1]; j-- {
- data[j], data[j-1] = data[j-1], data[j]
- }
- }
-}
-
-// siftDown implements the heap property on data[lo, hi).
-// first is an offset into the array where the root of the heap lies.
-func siftDown(data []int, lo, hi, first int) {
- root := lo
- for {
- child := 2*root + 1
- if child >= hi {
- break
- }
- if child+1 < hi && data[first+child] < data[first+child+1] {
- child++
- }
- if !(data[first+root] < data[first+child]) {
- return
- }
- data[first+root], data[first+child] = data[first+child], data[first+root]
- root = child
- }
-}
-
-func heapSort(data []int, a, b int) {
- first := a
- lo := 0
- hi := b - a
-
- // Build heap with greatest element at top.
- for i := (hi - 1) / 2; i >= 0; i-- {
- siftDown(data, i, hi, first)
- }
-
- // Pop elements, largest first, into end of data.
- for i := hi - 1; i >= 0; i-- {
- data[first], data[first+i] = data[first+i], data[first]
- siftDown(data, lo, i, first)
- }
-}
-
-// Quicksort, following Bentley and McIlroy,
-// ``Engineering a Sort Function,'' SP&E November 1993.
-
-// medianOfThree moves the median of the three values data[a], data[b], data[c] into data[a].
-func medianOfThree(data []int, a, b, c int) {
- m0 := b
- m1 := a
- m2 := c
- // bubble sort on 3 elements
- if data[m1] < data[m0] {
- data[m1], data[m0] = data[m0], data[m1]
- }
- if data[m2] < data[m1] {
- data[m2], data[m1] = data[m1], data[m2]
- }
- if data[m1] < data[m0] {
- data[m1], data[m0] = data[m0], data[m1]
- }
- // now data[m0] <= data[m1] <= data[m2]
-}
-
-func swapRange(data []int, a, b, n int) {
- for i := 0; i < n; i++ {
- data[a+i], data[b+i] = data[b+i], data[a+i]
- }
-}
-
-func doPivot(data []int, lo, hi int) (midlo, midhi int) {
- m := lo + (hi-lo)/2 // Written like this to avoid integer overflow.
- if hi-lo > 40 {
- // Tukey's ``Ninther,'' median of three medians of three.
- s := (hi - lo) / 8
- medianOfThree(data, lo, lo+s, lo+2*s)
- medianOfThree(data, m, m-s, m+s)
- medianOfThree(data, hi-1, hi-1-s, hi-1-2*s)
- }
- medianOfThree(data, lo, m, hi-1)
-
- // Invariants are:
- // data[lo] = pivot (set up by ChoosePivot)
- // data[lo <= i < a] = pivot
- // data[a <= i < b] < pivot
- // data[b <= i < c] is unexamined
- // data[c <= i < d] > pivot
- // data[d <= i < hi] = pivot
- //
- // Once b meets c, can swap the "= pivot" sections
- // into the middle of the slice.
- pivot := lo
- a, b, c, d := lo+1, lo+1, hi, hi
- dpivot := data[pivot]
- db, dc1 := data[b], data[c-1]
- for b < c {
- if db < dpivot { // data[b] < pivot
- b++
- if b < c {
- db = data[b]
- }
- continue
- }
- if !(dpivot < db) { // data[b] = pivot
- data[a], data[b] = db, data[a]
- a++
- b++
- if b < c {
- db = data[b]
- }
- continue
- }
- if dpivot < dc1 { // data[c-1] > pivot
- c--
- if c > 0 {
- dc1 = data[c-1]
- }
- continue
- }
- if !(dc1 < dpivot) { // data[c-1] = pivot
- data[c-1], data[d-1] = data[d-1], dc1
- c--
- d--
- if c > 0 {
- dc1 = data[c-1]
- }
- continue
- }
- // data[b] > pivot; data[c-1] < pivot
- data[b], data[c-1] = dc1, db
- b++
- c--
- if b < c {
- db = data[b]
- dc1 = data[c-1]
- }
- }
-
- n := min(b-a, a-lo)
- swapRange(data, lo, b-n, n)
-
- n = min(hi-d, d-c)
- swapRange(data, c, hi-n, n)
-
- return lo + b - a, hi - (d - c)
-}
-
-func quickSort(data []int, a, b, maxDepth int) {
- for b-a > 7 {
- if maxDepth == 0 {
- heapSort(data, a, b)
- return
- }
- maxDepth--
- mlo, mhi := doPivot(data, a, b)
- // Avoiding recursion on the larger subproblem guarantees
- // a stack depth of at most lg(b-a).
- if mlo-a < b-mhi {
- quickSort(data, a, mlo, maxDepth)
- a = mhi // i.e., quickSort(data, mhi, b)
- } else {
- quickSort(data, mhi, b, maxDepth)
- b = mlo // i.e., quickSort(data, a, mlo)
- }
- }
- if b-a > 1 {
- insertionSort(data, a, b)
- }
-}
-
-func sortInts(data []int) {
- // Switch to heapsort if depth of 2*ceil(lg(n)) is reached.
- n := len(data)
- maxDepth := 0
- for 1<<uint(maxDepth) < n {
- maxDepth++
- }
- maxDepth *= 2
- quickSort(data, 0, n, maxDepth)
-}