Adding upstream version 1.1.0.upstream/1.1.0upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

7 files changed, 2344 insertions, 0 deletions

diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/slices.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/slices.go
new file mode 100644
index 0000000..8a237c5
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/slices.go
@@ -0,0 +1,218 @@
+// Copyright 2021 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 slices defines various functions useful with slices of any type.
+// Unless otherwise specified, these functions all apply to the elements
+// of a slice at index 0 <= i < len(s).
+//
+// Note that the less function in IsSortedFunc, SortFunc, SortStableFunc requires a
+// strict weak ordering (https://en.wikipedia.org/wiki/Weak_ordering#Strict_weak_orderings),
+// or the sorting may fail to sort correctly. A common case is when sorting slices of
+// floating-point numbers containing NaN values.
+package slices
+
+import "golang.org/x/exp/constraints"
+
+// Equal reports whether two slices are equal: the same length and all
+// elements equal. If the lengths are different, Equal returns false.
+// Otherwise, the elements are compared in increasing index order, and the
+// comparison stops at the first unequal pair.
+// Floating point NaNs are not considered equal.
+func Equal[E comparable](s1, s2 []E) bool {
+	if len(s1) != len(s2) {
+		return false
+	}
+	for i := range s1 {
+		if s1[i] != s2[i] {
+			return false
+		}
+	}
+	return true
+}
+
+// EqualFunc reports whether two slices are equal using a comparison
+// function on each pair of elements. If the lengths are different,
+// EqualFunc returns false. Otherwise, the elements are compared in
+// increasing index order, and the comparison stops at the first index
+// for which eq returns false.
+func EqualFunc[E1, E2 any](s1 []E1, s2 []E2, eq func(E1, E2) bool) bool {
+	if len(s1) != len(s2) {
+		return false
+	}
+	for i, v1 := range s1 {
+		v2 := s2[i]
+		if !eq(v1, v2) {
+			return false
+		}
+	}
+	return true
+}
+
+// Compare compares the elements of s1 and s2.
+// The elements are compared sequentially, starting at index 0,
+// until one element is not equal to the other.
+// The result of comparing the first non-matching elements is returned.
+// If both slices are equal until one of them ends, the shorter slice is
+// considered less than the longer one.
+// The result is 0 if s1 == s2, -1 if s1 < s2, and +1 if s1 > s2.
+// Comparisons involving floating point NaNs are ignored.
+func Compare[E constraints.Ordered](s1, s2 []E) int {
+	s2len := len(s2)
+	for i, v1 := range s1 {
+		if i >= s2len {
+			return +1
+		}
+		v2 := s2[i]
+		switch {
+		case v1 < v2:
+			return -1
+		case v1 > v2:
+			return +1
+		}
+	}
+	if len(s1) < s2len {
+		return -1
+	}
+	return 0
+}
+
+// CompareFunc is like Compare but uses a comparison function
+// on each pair of elements. The elements are compared in increasing
+// index order, and the comparisons stop after the first time cmp
+// returns non-zero.
+// The result is the first non-zero result of cmp; if cmp always
+// returns 0 the result is 0 if len(s1) == len(s2), -1 if len(s1) < len(s2),
+// and +1 if len(s1) > len(s2).
+func CompareFunc[E1, E2 any](s1 []E1, s2 []E2, cmp func(E1, E2) int) int {
+	s2len := len(s2)
+	for i, v1 := range s1 {
+		if i >= s2len {
+			return +1
+		}
+		v2 := s2[i]
+		if c := cmp(v1, v2); c != 0 {
+			return c
+		}
+	}
+	if len(s1) < s2len {
+		return -1
+	}
+	return 0
+}
+
+// Index returns the index of the first occurrence of v in s,
+// or -1 if not present.
+func Index[E comparable](s []E, v E) int {
+	for i, vs := range s {
+		if v == vs {
+			return i
+		}
+	}
+	return -1
+}
+
+// IndexFunc returns the first index i satisfying f(s[i]),
+// or -1 if none do.
+func IndexFunc[E any](s []E, f func(E) bool) int {
+	for i, v := range s {
+		if f(v) {
+			return i
+		}
+	}
+	return -1
+}
+
+// Contains reports whether v is present in s.
+func Contains[E comparable](s []E, v E) bool {
+	return Index(s, v) >= 0
+}
+
+// Insert inserts the values v... into s at index i,
+// returning the modified slice.
+// In the returned slice r, r[i] == v[0].
+// Insert panics if i is out of range.
+// This function is O(len(s) + len(v)).
+func Insert[S ~[]E, E any](s S, i int, v ...E) S {
+	tot := len(s) + len(v)
+	if tot <= cap(s) {
+		s2 := s[:tot]
+		copy(s2[i+len(v):], s[i:])
+		copy(s2[i:], v)
+		return s2
+	}
+	s2 := make(S, tot)
+	copy(s2, s[:i])
+	copy(s2[i:], v)
+	copy(s2[i+len(v):], s[i:])
+	return s2
+}
+
+// Delete removes the elements s[i:j] from s, returning the modified slice.
+// Delete panics if s[i:j] is not a valid slice of s.
+// Delete modifies the contents of the slice s; it does not create a new slice.
+// Delete is O(len(s)-(j-i)), so if many items must be deleted, it is better to
+// make a single call deleting them all together than to delete one at a time.
+func Delete[S ~[]E, E any](s S, i, j int) S {
+	return append(s[:i], s[j:]...)
+}
+
+// Clone returns a copy of the slice.
+// The elements are copied using assignment, so this is a shallow clone.
+func Clone[S ~[]E, E any](s S) S {
+	// Preserve nil in case it matters.
+	if s == nil {
+		return nil
+	}
+	return append(S([]E{}), s...)
+}
+
+// Compact replaces consecutive runs of equal elements with a single copy.
+// This is like the uniq command found on Unix.
+// Compact modifies the contents of the slice s; it does not create a new slice.
+func Compact[S ~[]E, E comparable](s S) S {
+	if len(s) == 0 {
+		return s
+	}
+	i := 1
+	last := s[0]
+	for _, v := range s[1:] {
+		if v != last {
+			s[i] = v
+			i++
+			last = v
+		}
+	}
+	return s[:i]
+}
+
+// CompactFunc is like Compact but uses a comparison function.
+func CompactFunc[S ~[]E, E any](s S, eq func(E, E) bool) S {
+	if len(s) == 0 {
+		return s
+	}
+	i := 1
+	last := s[0]
+	for _, v := range s[1:] {
+		if !eq(v, last) {
+			s[i] = v
+			i++
+			last = v
+		}
+	}
+	return s[:i]
+}
+
+// Grow increases the slice's capacity, if necessary, to guarantee space for
+// another n elements. After Grow(n), at least n elements can be appended
+// to the slice without another allocation. Grow may modify elements of the
+// slice between the length and the capacity. If n is negative or too large to
+// allocate the memory, Grow panics.
+func Grow[S ~[]E, E any](s S, n int) S {
+	return append(s, make(S, n)...)[:len(s)]
+}
+
+// Clip removes unused capacity from the slice, returning s[:len(s):len(s)].
+func Clip[S ~[]E, E any](s S) S {
+	return s[:len(s):len(s)]
+}
diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/slices_test.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/slices_test.go
new file mode 100644
index 0000000..efe9966
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/slices_test.go
@@ -0,0 +1,552 @@
+// Copyright 2021 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 slices
+
+import (
+	"math"
+	"strings"
+	"testing"
+
+	"golang.org/x/exp/constraints"
+)
+
+var equalIntTests = []struct {
+	s1, s2 []int
+	want   bool
+}{
+	{
+		[]int{1},
+		nil,
+		false,
+	},
+	{
+		[]int{},
+		nil,
+		true,
+	},
+	{
+		[]int{1, 2, 3},
+		[]int{1, 2, 3},
+		true,
+	},
+	{
+		[]int{1, 2, 3},
+		[]int{1, 2, 3, 4},
+		false,
+	},
+}
+
+var equalFloatTests = []struct {
+	s1, s2       []float64
+	wantEqual    bool
+	wantEqualNaN bool
+}{
+	{
+		[]float64{1, 2},
+		[]float64{1, 2},
+		true,
+		true,
+	},
+	{
+		[]float64{1, 2, math.NaN()},
+		[]float64{1, 2, math.NaN()},
+		false,
+		true,
+	},
+}
+
+func TestEqual(t *testing.T) {
+	for _, test := range equalIntTests {
+		if got := Equal(test.s1, test.s2); got != test.want {
+			t.Errorf("Equal(%v, %v) = %t, want %t", test.s1, test.s2, got, test.want)
+		}
+	}
+	for _, test := range equalFloatTests {
+		if got := Equal(test.s1, test.s2); got != test.wantEqual {
+			t.Errorf("Equal(%v, %v) = %t, want %t", test.s1, test.s2, got, test.wantEqual)
+		}
+	}
+}
+
+// equal is simply ==.
+func equal[T comparable](v1, v2 T) bool {
+	return v1 == v2
+}
+
+// equalNaN is like == except that all NaNs are equal.
+func equalNaN[T comparable](v1, v2 T) bool {
+	isNaN := func(f T) bool { return f != f }
+	return v1 == v2 || (isNaN(v1) && isNaN(v2))
+}
+
+// offByOne returns true if integers v1 and v2 differ by 1.
+func offByOne[E constraints.Integer](v1, v2 E) bool {
+	return v1 == v2+1 || v1 == v2-1
+}
+
+func TestEqualFunc(t *testing.T) {
+	for _, test := range equalIntTests {
+		if got := EqualFunc(test.s1, test.s2, equal[int]); got != test.want {
+			t.Errorf("EqualFunc(%v, %v, equal[int]) = %t, want %t", test.s1, test.s2, got, test.want)
+		}
+	}
+	for _, test := range equalFloatTests {
+		if got := EqualFunc(test.s1, test.s2, equal[float64]); got != test.wantEqual {
+			t.Errorf("Equal(%v, %v, equal[float64]) = %t, want %t", test.s1, test.s2, got, test.wantEqual)
+		}
+		if got := EqualFunc(test.s1, test.s2, equalNaN[float64]); got != test.wantEqualNaN {
+			t.Errorf("Equal(%v, %v, equalNaN[float64]) = %t, want %t", test.s1, test.s2, got, test.wantEqualNaN)
+		}
+	}
+
+	s1 := []int{1, 2, 3}
+	s2 := []int{2, 3, 4}
+	if EqualFunc(s1, s1, offByOne[int]) {
+		t.Errorf("EqualFunc(%v, %v, offByOne) = true, want false", s1, s1)
+	}
+	if !EqualFunc(s1, s2, offByOne[int]) {
+		t.Errorf("EqualFunc(%v, %v, offByOne) = false, want true", s1, s2)
+	}
+
+	s3 := []string{"a", "b", "c"}
+	s4 := []string{"A", "B", "C"}
+	if !EqualFunc(s3, s4, strings.EqualFold) {
+		t.Errorf("EqualFunc(%v, %v, strings.EqualFold) = false, want true", s3, s4)
+	}
+
+	cmpIntString := func(v1 int, v2 string) bool {
+		return string(rune(v1)-1+'a') == v2
+	}
+	if !EqualFunc(s1, s3, cmpIntString) {
+		t.Errorf("EqualFunc(%v, %v, cmpIntString) = false, want true", s1, s3)
+	}
+}
+
+var compareIntTests = []struct {
+	s1, s2 []int
+	want   int
+}{
+	{
+		[]int{1, 2, 3},
+		[]int{1, 2, 3, 4},
+		-1,
+	},
+	{
+		[]int{1, 2, 3, 4},
+		[]int{1, 2, 3},
+		+1,
+	},
+	{
+		[]int{1, 2, 3},
+		[]int{1, 4, 3},
+		-1,
+	},
+	{
+		[]int{1, 4, 3},
+		[]int{1, 2, 3},
+		+1,
+	},
+}
+
+var compareFloatTests = []struct {
+	s1, s2 []float64
+	want   int
+}{
+	{
+		[]float64{1, 2, math.NaN()},
+		[]float64{1, 2, math.NaN()},
+		0,
+	},
+	{
+		[]float64{1, math.NaN(), 3},
+		[]float64{1, math.NaN(), 4},
+		-1,
+	},
+	{
+		[]float64{1, math.NaN(), 3},
+		[]float64{1, 2, 4},
+		-1,
+	},
+	{
+		[]float64{1, math.NaN(), 3},
+		[]float64{1, 2, math.NaN()},
+		0,
+	},
+	{
+		[]float64{1, math.NaN(), 3, 4},
+		[]float64{1, 2, math.NaN()},
+		+1,
+	},
+}
+
+func TestCompare(t *testing.T) {
+	intWant := func(want bool) string {
+		if want {
+			return "0"
+		}
+		return "!= 0"
+	}
+	for _, test := range equalIntTests {
+		if got := Compare(test.s1, test.s2); (got == 0) != test.want {
+			t.Errorf("Compare(%v, %v) = %d, want %s", test.s1, test.s2, got, intWant(test.want))
+		}
+	}
+	for _, test := range equalFloatTests {
+		if got := Compare(test.s1, test.s2); (got == 0) != test.wantEqualNaN {
+			t.Errorf("Compare(%v, %v) = %d, want %s", test.s1, test.s2, got, intWant(test.wantEqualNaN))
+		}
+	}
+
+	for _, test := range compareIntTests {
+		if got := Compare(test.s1, test.s2); got != test.want {
+			t.Errorf("Compare(%v, %v) = %d, want %d", test.s1, test.s2, got, test.want)
+		}
+	}
+	for _, test := range compareFloatTests {
+		if got := Compare(test.s1, test.s2); got != test.want {
+			t.Errorf("Compare(%v, %v) = %d, want %d", test.s1, test.s2, got, test.want)
+		}
+	}
+}
+
+func equalToCmp[T comparable](eq func(T, T) bool) func(T, T) int {
+	return func(v1, v2 T) int {
+		if eq(v1, v2) {
+			return 0
+		}
+		return 1
+	}
+}
+
+func cmp[T constraints.Ordered](v1, v2 T) int {
+	if v1 < v2 {
+		return -1
+	} else if v1 > v2 {
+		return 1
+	} else {
+		return 0
+	}
+}
+
+func TestCompareFunc(t *testing.T) {
+	intWant := func(want bool) string {
+		if want {
+			return "0"
+		}
+		return "!= 0"
+	}
+	for _, test := range equalIntTests {
+		if got := CompareFunc(test.s1, test.s2, equalToCmp(equal[int])); (got == 0) != test.want {
+			t.Errorf("CompareFunc(%v, %v, equalToCmp(equal[int])) = %d, want %s", test.s1, test.s2, got, intWant(test.want))
+		}
+	}
+	for _, test := range equalFloatTests {
+		if got := CompareFunc(test.s1, test.s2, equalToCmp(equal[float64])); (got == 0) != test.wantEqual {
+			t.Errorf("CompareFunc(%v, %v, equalToCmp(equal[float64])) = %d, want %s", test.s1, test.s2, got, intWant(test.wantEqual))
+		}
+	}
+
+	for _, test := range compareIntTests {
+		if got := CompareFunc(test.s1, test.s2, cmp[int]); got != test.want {
+			t.Errorf("CompareFunc(%v, %v, cmp[int]) = %d, want %d", test.s1, test.s2, got, test.want)
+		}
+	}
+	for _, test := range compareFloatTests {
+		if got := CompareFunc(test.s1, test.s2, cmp[float64]); got != test.want {
+			t.Errorf("CompareFunc(%v, %v, cmp[float64]) = %d, want %d", test.s1, test.s2, got, test.want)
+		}
+	}
+
+	s1 := []int{1, 2, 3}
+	s2 := []int{2, 3, 4}
+	if got := CompareFunc(s1, s2, equalToCmp(offByOne[int])); got != 0 {
+		t.Errorf("CompareFunc(%v, %v, offByOne) = %d, want 0", s1, s2, got)
+	}
+
+	s3 := []string{"a", "b", "c"}
+	s4 := []string{"A", "B", "C"}
+	if got := CompareFunc(s3, s4, strings.Compare); got != 1 {
+		t.Errorf("CompareFunc(%v, %v, strings.Compare) = %d, want 1", s3, s4, got)
+	}
+
+	compareLower := func(v1, v2 string) int {
+		return strings.Compare(strings.ToLower(v1), strings.ToLower(v2))
+	}
+	if got := CompareFunc(s3, s4, compareLower); got != 0 {
+		t.Errorf("CompareFunc(%v, %v, compareLower) = %d, want 0", s3, s4, got)
+	}
+
+	cmpIntString := func(v1 int, v2 string) int {
+		return strings.Compare(string(rune(v1)-1+'a'), v2)
+	}
+	if got := CompareFunc(s1, s3, cmpIntString); got != 0 {
+		t.Errorf("CompareFunc(%v, %v, cmpIntString) = %d, want 0", s1, s3, got)
+	}
+}
+
+var indexTests = []struct {
+	s    []int
+	v    int
+	want int
+}{
+	{
+		nil,
+		0,
+		-1,
+	},
+	{
+		[]int{},
+		0,
+		-1,
+	},
+	{
+		[]int{1, 2, 3},
+		2,
+		1,
+	},
+	{
+		[]int{1, 2, 2, 3},
+		2,
+		1,
+	},
+	{
+		[]int{1, 2, 3, 2},
+		2,
+		1,
+	},
+}
+
+func TestIndex(t *testing.T) {
+	for _, test := range indexTests {
+		if got := Index(test.s, test.v); got != test.want {
+			t.Errorf("Index(%v, %v) = %d, want %d", test.s, test.v, got, test.want)
+		}
+	}
+}
+
+func equalToIndex[T any](f func(T, T) bool, v1 T) func(T) bool {
+	return func(v2 T) bool {
+		return f(v1, v2)
+	}
+}
+
+func TestIndexFunc(t *testing.T) {
+	for _, test := range indexTests {
+		if got := IndexFunc(test.s, equalToIndex(equal[int], test.v)); got != test.want {
+			t.Errorf("IndexFunc(%v, equalToIndex(equal[int], %v)) = %d, want %d", test.s, test.v, got, test.want)
+		}
+	}
+
+	s1 := []string{"hi", "HI"}
+	if got := IndexFunc(s1, equalToIndex(equal[string], "HI")); got != 1 {
+		t.Errorf("IndexFunc(%v, equalToIndex(equal[string], %q)) = %d, want %d", s1, "HI", got, 1)
+	}
+	if got := IndexFunc(s1, equalToIndex(strings.EqualFold, "HI")); got != 0 {
+		t.Errorf("IndexFunc(%v, equalToIndex(strings.EqualFold, %q)) = %d, want %d", s1, "HI", got, 0)
+	}
+}
+
+func TestContains(t *testing.T) {
+	for _, test := range indexTests {
+		if got := Contains(test.s, test.v); got != (test.want != -1) {
+			t.Errorf("Contains(%v, %v) = %t, want %t", test.s, test.v, got, test.want != -1)
+		}
+	}
+}
+
+var insertTests = []struct {
+	s    []int
+	i    int
+	add  []int
+	want []int
+}{
+	{
+		[]int{1, 2, 3},
+		0,
+		[]int{4},
+		[]int{4, 1, 2, 3},
+	},
+	{
+		[]int{1, 2, 3},
+		1,
+		[]int{4},
+		[]int{1, 4, 2, 3},
+	},
+	{
+		[]int{1, 2, 3},
+		3,
+		[]int{4},
+		[]int{1, 2, 3, 4},
+	},
+	{
+		[]int{1, 2, 3},
+		2,
+		[]int{4, 5},
+		[]int{1, 2, 4, 5, 3},
+	},
+}
+
+func TestInsert(t *testing.T) {
+	s := []int{1, 2, 3}
+	if got := Insert(s, 0); !Equal(got, s) {
+		t.Errorf("Insert(%v, 0) = %v, want %v", s, got, s)
+	}
+	for _, test := range insertTests {
+		copy := Clone(test.s)
+		if got := Insert(copy, test.i, test.add...); !Equal(got, test.want) {
+			t.Errorf("Insert(%v, %d, %v...) = %v, want %v", test.s, test.i, test.add, got, test.want)
+		}
+	}
+}
+
+var deleteTests = []struct {
+	s    []int
+	i, j int
+	want []int
+}{
+	{
+		[]int{1, 2, 3},
+		0,
+		0,
+		[]int{1, 2, 3},
+	},
+	{
+		[]int{1, 2, 3},
+		0,
+		1,
+		[]int{2, 3},
+	},
+	{
+		[]int{1, 2, 3},
+		3,
+		3,
+		[]int{1, 2, 3},
+	},
+	{
+		[]int{1, 2, 3},
+		0,
+		2,
+		[]int{3},
+	},
+	{
+		[]int{1, 2, 3},
+		0,
+		3,
+		[]int{},
+	},
+}
+
+func TestDelete(t *testing.T) {
+	for _, test := range deleteTests {
+		copy := Clone(test.s)
+		if got := Delete(copy, test.i, test.j); !Equal(got, test.want) {
+			t.Errorf("Delete(%v, %d, %d) = %v, want %v", test.s, test.i, test.j, got, test.want)
+		}
+	}
+}
+
+func TestClone(t *testing.T) {
+	s1 := []int{1, 2, 3}
+	s2 := Clone(s1)
+	if !Equal(s1, s2) {
+		t.Errorf("Clone(%v) = %v, want %v", s1, s2, s1)
+	}
+	s1[0] = 4
+	want := []int{1, 2, 3}
+	if !Equal(s2, want) {
+		t.Errorf("Clone(%v) changed unexpectedly to %v", want, s2)
+	}
+	if got := Clone([]int(nil)); got != nil {
+		t.Errorf("Clone(nil) = %#v, want nil", got)
+	}
+	if got := Clone(s1[:0]); got == nil || len(got) != 0 {
+		t.Errorf("Clone(%v) = %#v, want %#v", s1[:0], got, s1[:0])
+	}
+}
+
+var compactTests = []struct {
+	s    []int
+	want []int
+}{
+	{
+		nil,
+		nil,
+	},
+	{
+		[]int{1},
+		[]int{1},
+	},
+	{
+		[]int{1, 2, 3},
+		[]int{1, 2, 3},
+	},
+	{
+		[]int{1, 1, 2},
+		[]int{1, 2},
+	},
+	{
+		[]int{1, 2, 1},
+		[]int{1, 2, 1},
+	},
+	{
+		[]int{1, 2, 2, 3, 3, 4},
+		[]int{1, 2, 3, 4},
+	},
+}
+
+func TestCompact(t *testing.T) {
+	for _, test := range compactTests {
+		copy := Clone(test.s)
+		if got := Compact(copy); !Equal(got, test.want) {
+			t.Errorf("Compact(%v) = %v, want %v", test.s, got, test.want)
+		}
+	}
+}
+
+func TestCompactFunc(t *testing.T) {
+	for _, test := range compactTests {
+		copy := Clone(test.s)
+		if got := CompactFunc(copy, equal[int]); !Equal(got, test.want) {
+			t.Errorf("CompactFunc(%v, equal[int]) = %v, want %v", test.s, got, test.want)
+		}
+	}
+
+	s1 := []string{"a", "a", "A", "B", "b"}
+	copy := Clone(s1)
+	want := []string{"a", "B"}
+	if got := CompactFunc(copy, strings.EqualFold); !Equal(got, want) {
+		t.Errorf("CompactFunc(%v, strings.EqualFold) = %v, want %v", s1, got, want)
+	}
+}
+
+func TestGrow(t *testing.T) {
+	s1 := []int{1, 2, 3}
+	copy := Clone(s1)
+	s2 := Grow(copy, 1000)
+	if !Equal(s1, s2) {
+		t.Errorf("Grow(%v) = %v, want %v", s1, s2, s1)
+	}
+	if cap(s2) < 1000+len(s1) {
+		t.Errorf("after Grow(%v) cap = %d, want >= %d", s1, cap(s2), 1000+len(s1))
+	}
+}
+
+func TestClip(t *testing.T) {
+	s1 := []int{1, 2, 3, 4, 5, 6}[:3]
+	orig := Clone(s1)
+	if len(s1) != 3 {
+		t.Errorf("len(%v) = %d, want 3", s1, len(s1))
+	}
+	if cap(s1) < 6 {
+		t.Errorf("cap(%v[:3]) = %d, want >= 6", orig, cap(s1))
+	}
+	s2 := Clip(s1)
+	if !Equal(s1, s2) {
+		t.Errorf("Clip(%v) = %v, want %v", s1, s2, s1)
+	}
+	if cap(s2) != 3 {
+		t.Errorf("cap(Clip(%v)) = %d, want 3", orig, cap(s2))
+	}
+}
diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort.go
new file mode 100644
index 0000000..c22e74b
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort.go
@@ -0,0 +1,127 @@
+// Copyright 2022 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 slices
+
+import (
+	"math/bits"
+
+	"golang.org/x/exp/constraints"
+)
+
+// Sort sorts a slice of any ordered type in ascending order.
+// Sort may fail to sort correctly when sorting slices of floating-point
+// numbers containing Not-a-number (NaN) values.
+// Use slices.SortFunc(x, func(a, b float64) bool {return a < b || (math.IsNaN(a) && !math.IsNaN(b))})
+// instead if the input may contain NaNs.
+func Sort[E constraints.Ordered](x []E) {
+	n := len(x)
+	pdqsortOrdered(x, 0, n, bits.Len(uint(n)))
+}
+
+// SortFunc sorts the slice x in ascending order as determined by the less function.
+// This sort is not guaranteed to be stable.
+//
+// SortFunc requires that less is a strict weak ordering.
+// See https://en.wikipedia.org/wiki/Weak_ordering#Strict_weak_orderings.
+func SortFunc[E any](x []E, less func(a, b E) bool) {
+	n := len(x)
+	pdqsortLessFunc(x, 0, n, bits.Len(uint(n)), less)
+}
+
+// SortStable sorts the slice x while keeping the original order of equal
+// elements, using less to compare elements.
+func SortStableFunc[E any](x []E, less func(a, b E) bool) {
+	stableLessFunc(x, len(x), less)
+}
+
+// IsSorted reports whether x is sorted in ascending order.
+func IsSorted[E constraints.Ordered](x []E) bool {
+	for i := len(x) - 1; i > 0; i-- {
+		if x[i] < x[i-1] {
+			return false
+		}
+	}
+	return true
+}
+
+// IsSortedFunc reports whether x is sorted in ascending order, with less as the
+// comparison function.
+func IsSortedFunc[E any](x []E, less func(a, b E) bool) bool {
+	for i := len(x) - 1; i > 0; i-- {
+		if less(x[i], x[i-1]) {
+			return false
+		}
+	}
+	return true
+}
+
+// BinarySearch searches for target in a sorted slice and returns the position
+// where target is found, or the position where target would appear in the
+// sort order; it also returns a bool saying whether the target is really found
+// in the slice. The slice must be sorted in increasing order.
+func BinarySearch[E constraints.Ordered](x []E, target E) (int, bool) {
+	// search returns the leftmost position where f returns true, or len(x) if f
+	// returns false for all x. This is the insertion position for target in x,
+	// and could point to an element that's either == target or not.
+	pos := search(len(x), func(i int) bool { return x[i] >= target })
+	if pos >= len(x) || x[pos] != target {
+		return pos, false
+	} else {
+		return pos, true
+	}
+}
+
+// BinarySearchFunc works like BinarySearch, but uses a custom comparison
+// function. The slice must be sorted in increasing order, where "increasing" is
+// defined by cmp. cmp(a, b) is expected to return an integer comparing the two
+// parameters: 0 if a == b, a negative number if a < b and a positive number if
+// a > b.
+func BinarySearchFunc[E any](x []E, target E, cmp func(E, E) int) (int, bool) {
+	pos := search(len(x), func(i int) bool { return cmp(x[i], target) >= 0 })
+	if pos >= len(x) || cmp(x[pos], target) != 0 {
+		return pos, false
+	} else {
+		return pos, true
+	}
+}
+
+func search(n int, f func(int) bool) int {
+	// Define f(-1) == false and f(n) == true.
+	// Invariant: f(i-1) == false, f(j) == true.
+	i, j := 0, n
+	for i < j {
+		h := int(uint(i+j) >> 1) // avoid overflow when computing h
+		// i ≤ h < j
+		if !f(h) {
+			i = h + 1 // preserves f(i-1) == false
+		} else {
+			j = h // preserves f(j) == true
+		}
+	}
+	// i == j, f(i-1) == false, and f(j) (= f(i)) == true  =>  answer is i.
+	return i
+}
+
+type sortedHint int // hint for pdqsort when choosing the pivot
+
+const (
+	unknownHint sortedHint = iota
+	increasingHint
+	decreasingHint
+)
+
+// xorshift paper: https://www.jstatsoft.org/article/view/v008i14/xorshift.pdf
+type xorshift uint64
+
+func (r *xorshift) Next() uint64 {
+	*r ^= *r << 13
+	*r ^= *r >> 17
+	*r ^= *r << 5
+	return uint64(*r)
+}
+
+func nextPowerOfTwo(length int) uint {
+	return 1 << bits.Len(uint(length))
+}
diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort_benchmark_test.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort_benchmark_test.go
new file mode 100644
index 0000000..88b753d
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort_benchmark_test.go
@@ -0,0 +1,202 @@
+// Copyright 2022 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 slices
+
+import (
+	"math/rand"
+	"sort"
+	"strings"
+	"testing"
+)
+
+// These benchmarks compare sorting a large slice of int with sort.Ints vs.
+// slices.Sort
+func makeRandomInts(n int) []int {
+	rand.Seed(42)
+	ints := make([]int, n)
+	for i := 0; i < n; i++ {
+		ints[i] = rand.Intn(n)
+	}
+	return ints
+}
+
+func makeSortedInts(n int) []int {
+	ints := make([]int, n)
+	for i := 0; i < n; i++ {
+		ints[i] = i
+	}
+	return ints
+}
+
+func makeReversedInts(n int) []int {
+	ints := make([]int, n)
+	for i := 0; i < n; i++ {
+		ints[i] = n - i
+	}
+	return ints
+}
+
+const N = 100_000
+
+func BenchmarkSortInts(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ints := makeRandomInts(N)
+		b.StartTimer()
+		sort.Ints(ints)
+	}
+}
+
+func BenchmarkSlicesSortInts(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ints := makeRandomInts(N)
+		b.StartTimer()
+		Sort(ints)
+	}
+}
+
+func BenchmarkSlicesSortInts_Sorted(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ints := makeSortedInts(N)
+		b.StartTimer()
+		Sort(ints)
+	}
+}
+
+func BenchmarkSlicesSortInts_Reversed(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ints := makeReversedInts(N)
+		b.StartTimer()
+		Sort(ints)
+	}
+}
+
+// Since we're benchmarking these sorts against each other, make sure that they
+// generate similar results.
+func TestIntSorts(t *testing.T) {
+	ints := makeRandomInts(200)
+	ints2 := Clone(ints)
+
+	sort.Ints(ints)
+	Sort(ints2)
+
+	for i := range ints {
+		if ints[i] != ints2[i] {
+			t.Fatalf("ints2 mismatch at %d; %d != %d", i, ints[i], ints2[i])
+		}
+	}
+}
+
+// The following is a benchmark for sorting strings.
+
+// makeRandomStrings generates n random strings with alphabetic runes of
+// varying lenghts.
+func makeRandomStrings(n int) []string {
+	rand.Seed(42)
+	var letters = []rune("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
+	ss := make([]string, n)
+	for i := 0; i < n; i++ {
+		var sb strings.Builder
+		slen := 2 + rand.Intn(50)
+		for j := 0; j < slen; j++ {
+			sb.WriteRune(letters[rand.Intn(len(letters))])
+		}
+		ss[i] = sb.String()
+	}
+	return ss
+}
+
+func TestStringSorts(t *testing.T) {
+	ss := makeRandomStrings(200)
+	ss2 := Clone(ss)
+
+	sort.Strings(ss)
+	Sort(ss2)
+
+	for i := range ss {
+		if ss[i] != ss2[i] {
+			t.Fatalf("ss2 mismatch at %d; %s != %s", i, ss[i], ss2[i])
+		}
+	}
+}
+
+func BenchmarkSortStrings(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ss := makeRandomStrings(N)
+		b.StartTimer()
+		sort.Strings(ss)
+	}
+}
+
+func BenchmarkSlicesSortStrings(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ss := makeRandomStrings(N)
+		b.StartTimer()
+		Sort(ss)
+	}
+}
+
+// These benchmarks compare sorting a slice of structs with sort.Sort vs.
+// slices.SortFunc.
+type myStruct struct {
+	a, b, c, d string
+	n          int
+}
+
+type myStructs []*myStruct
+
+func (s myStructs) Len() int           { return len(s) }
+func (s myStructs) Less(i, j int) bool { return s[i].n < s[j].n }
+func (s myStructs) Swap(i, j int)      { s[i], s[j] = s[j], s[i] }
+
+func makeRandomStructs(n int) myStructs {
+	rand.Seed(42)
+	structs := make([]*myStruct, n)
+	for i := 0; i < n; i++ {
+		structs[i] = &myStruct{n: rand.Intn(n)}
+	}
+	return structs
+}
+
+func TestStructSorts(t *testing.T) {
+	ss := makeRandomStructs(200)
+	ss2 := make([]*myStruct, len(ss))
+	for i := range ss {
+		ss2[i] = &myStruct{n: ss[i].n}
+	}
+
+	sort.Sort(ss)
+	SortFunc(ss2, func(a, b *myStruct) bool { return a.n < b.n })
+
+	for i := range ss {
+		if *ss[i] != *ss2[i] {
+			t.Fatalf("ints2 mismatch at %d; %v != %v", i, *ss[i], *ss2[i])
+		}
+	}
+}
+
+func BenchmarkSortStructs(b *testing.B) {
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ss := makeRandomStructs(N)
+		b.StartTimer()
+		sort.Sort(ss)
+	}
+}
+
+func BenchmarkSortFuncStructs(b *testing.B) {
+	lessFunc := func(a, b *myStruct) bool { return a.n < b.n }
+	for i := 0; i < b.N; i++ {
+		b.StopTimer()
+		ss := makeRandomStructs(N)
+		b.StartTimer()
+		SortFunc(ss, lessFunc)
+	}
+}
diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort_test.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort_test.go
new file mode 100644
index 0000000..9a52992
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/sort_test.go
@@ -0,0 +1,285 @@
+// Copyright 2022 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 slices
+
+import (
+	"math"
+	"math/rand"
+	"sort"
+	"strconv"
+	"strings"
+	"testing"
+)
+
+var ints = [...]int{74, 59, 238, -784, 9845, 959, 905, 0, 0, 42, 7586, -5467984, 7586}
+var float64s = [...]float64{74.3, 59.0, math.Inf(1), 238.2, -784.0, 2.3, math.Inf(-1), 9845.768, -959.7485, 905, 7.8, 7.8, 74.3, 59.0, math.Inf(1), 238.2, -784.0, 2.3}
+var float64sWithNaNs = [...]float64{74.3, 59.0, math.Inf(1), 238.2, -784.0, 2.3, math.NaN(), math.NaN(), math.Inf(-1), 9845.768, -959.7485, 905, 7.8, 7.8}
+var strs = [...]string{"", "Hello", "foo", "bar", "foo", "f00", "%*&^*&^&", "***"}
+
+func TestSortIntSlice(t *testing.T) {
+	data := ints[:]
+	Sort(data)
+	if !IsSorted(data) {
+		t.Errorf("sorted %v", ints)
+		t.Errorf("   got %v", data)
+	}
+}
+
+func TestSortFuncIntSlice(t *testing.T) {
+	data := ints[:]
+	SortFunc(data, func(a, b int) bool { return a < b })
+	if !IsSorted(data) {
+		t.Errorf("sorted %v", ints)
+		t.Errorf("   got %v", data)
+	}
+}
+
+func TestSortFloat64Slice(t *testing.T) {
+	data := float64s[:]
+	Sort(data)
+	if !IsSorted(data) {
+		t.Errorf("sorted %v", float64s)
+		t.Errorf("   got %v", data)
+	}
+}
+
+func TestSortFloat64SliceWithNaNs(t *testing.T) {
+	data := float64sWithNaNs[:]
+	input := make([]float64, len(float64sWithNaNs))
+	for i := range input {
+		input[i] = float64sWithNaNs[i]
+	}
+	// Make sure Sort doesn't panic when the slice contains NaNs.
+	Sort(data)
+	// Check whether the result is a permutation of the input.
+	sort.Float64s(data)
+	sort.Float64s(input)
+	for i, v := range input {
+		if data[i] != v && !(math.IsNaN(data[i]) && math.IsNaN(v)) {
+			t.Fatalf("the result is not a permutation of the input\ngot %v\nwant %v", data, input)
+		}
+	}
+}
+
+func TestSortStringSlice(t *testing.T) {
+	data := strs[:]
+	Sort(data)
+	if !IsSorted(data) {
+		t.Errorf("sorted %v", strs)
+		t.Errorf("   got %v", data)
+	}
+}
+
+func TestSortLarge_Random(t *testing.T) {
+	n := 1000000
+	if testing.Short() {
+		n /= 100
+	}
+	data := make([]int, n)
+	for i := 0; i < len(data); i++ {
+		data[i] = rand.Intn(100)
+	}
+	if IsSorted(data) {
+		t.Fatalf("terrible rand.rand")
+	}
+	Sort(data)
+	if !IsSorted(data) {
+		t.Errorf("sort didn't sort - 1M ints")
+	}
+}
+
+type intPair struct {
+	a, b int
+}
+
+type intPairs []intPair
+
+// Pairs compare on a only.
+func intPairLess(x, y intPair) bool {
+	return x.a < y.a
+}
+
+// Record initial order in B.
+func (d intPairs) initB() {
+	for i := range d {
+		d[i].b = i
+	}
+}
+
+// InOrder checks if a-equal elements were not reordered.
+func (d intPairs) inOrder() bool {
+	lastA, lastB := -1, 0
+	for i := 0; i < len(d); i++ {
+		if lastA != d[i].a {
+			lastA = d[i].a
+			lastB = d[i].b
+			continue
+		}
+		if d[i].b <= lastB {
+			return false
+		}
+		lastB = d[i].b
+	}
+	return true
+}
+
+func TestStability(t *testing.T) {
+	n, m := 100000, 1000
+	if testing.Short() {
+		n, m = 1000, 100
+	}
+	data := make(intPairs, n)
+
+	// random distribution
+	for i := 0; i < len(data); i++ {
+		data[i].a = rand.Intn(m)
+	}
+	if IsSortedFunc(data, intPairLess) {
+		t.Fatalf("terrible rand.rand")
+	}
+	data.initB()
+	SortStableFunc(data, intPairLess)
+	if !IsSortedFunc(data, intPairLess) {
+		t.Errorf("Stable didn't sort %d ints", n)
+	}
+	if !data.inOrder() {
+		t.Errorf("Stable wasn't stable on %d ints", n)
+	}
+
+	// already sorted
+	data.initB()
+	SortStableFunc(data, intPairLess)
+	if !IsSortedFunc(data, intPairLess) {
+		t.Errorf("Stable shuffled sorted %d ints (order)", n)
+	}
+	if !data.inOrder() {
+		t.Errorf("Stable shuffled sorted %d ints (stability)", n)
+	}
+
+	// sorted reversed
+	for i := 0; i < len(data); i++ {
+		data[i].a = len(data) - i
+	}
+	data.initB()
+	SortStableFunc(data, intPairLess)
+	if !IsSortedFunc(data, intPairLess) {
+		t.Errorf("Stable didn't sort %d ints", n)
+	}
+	if !data.inOrder() {
+		t.Errorf("Stable wasn't stable on %d ints", n)
+	}
+}
+
+func TestBinarySearch(t *testing.T) {
+	str1 := []string{"foo"}
+	str2 := []string{"ab", "ca"}
+	str3 := []string{"mo", "qo", "vo"}
+	str4 := []string{"ab", "ad", "ca", "xy"}
+
+	// slice with repeating elements
+	strRepeats := []string{"ba", "ca", "da", "da", "da", "ka", "ma", "ma", "ta"}
+
+	// slice with all element equal
+	strSame := []string{"xx", "xx", "xx"}
+
+	tests := []struct {
+		data      []string
+		target    string
+		wantPos   int
+		wantFound bool
+	}{
+		{[]string{}, "foo", 0, false},
+		{[]string{}, "", 0, false},
+
+		{str1, "foo", 0, true},
+		{str1, "bar", 0, false},
+		{str1, "zx", 1, false},
+
+		{str2, "aa", 0, false},
+		{str2, "ab", 0, true},
+		{str2, "ad", 1, false},
+		{str2, "ca", 1, true},
+		{str2, "ra", 2, false},
+
+		{str3, "bb", 0, false},
+		{str3, "mo", 0, true},
+		{str3, "nb", 1, false},
+		{str3, "qo", 1, true},
+		{str3, "tr", 2, false},
+		{str3, "vo", 2, true},
+		{str3, "xr", 3, false},
+
+		{str4, "aa", 0, false},
+		{str4, "ab", 0, true},
+		{str4, "ac", 1, false},
+		{str4, "ad", 1, true},
+		{str4, "ax", 2, false},
+		{str4, "ca", 2, true},
+		{str4, "cc", 3, false},
+		{str4, "dd", 3, false},
+		{str4, "xy", 3, true},
+		{str4, "zz", 4, false},
+
+		{strRepeats, "da", 2, true},
+		{strRepeats, "db", 5, false},
+		{strRepeats, "ma", 6, true},
+		{strRepeats, "mb", 8, false},
+
+		{strSame, "xx", 0, true},
+		{strSame, "ab", 0, false},
+		{strSame, "zz", 3, false},
+	}
+	for _, tt := range tests {
+		t.Run(tt.target, func(t *testing.T) {
+			{
+				pos, found := BinarySearch(tt.data, tt.target)
+				if pos != tt.wantPos || found != tt.wantFound {
+					t.Errorf("BinarySearch got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+				}
+			}
+
+			{
+				pos, found := BinarySearchFunc(tt.data, tt.target, strings.Compare)
+				if pos != tt.wantPos || found != tt.wantFound {
+					t.Errorf("BinarySearchFunc got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+				}
+			}
+		})
+	}
+}
+
+func TestBinarySearchInts(t *testing.T) {
+	data := []int{20, 30, 40, 50, 60, 70, 80, 90}
+	tests := []struct {
+		target    int
+		wantPos   int
+		wantFound bool
+	}{
+		{20, 0, true},
+		{23, 1, false},
+		{43, 3, false},
+		{80, 6, true},
+	}
+	for _, tt := range tests {
+		t.Run(strconv.Itoa(tt.target), func(t *testing.T) {
+			{
+				pos, found := BinarySearch(data, tt.target)
+				if pos != tt.wantPos || found != tt.wantFound {
+					t.Errorf("BinarySearch got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+				}
+			}
+
+			{
+				cmp := func(a, b int) int {
+					return a - b
+				}
+				pos, found := BinarySearchFunc(data, tt.target, cmp)
+				if pos != tt.wantPos || found != tt.wantFound {
+					t.Errorf("BinarySearchFunc got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+				}
+			}
+		})
+	}
+}
diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/zsortfunc.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/zsortfunc.go
new file mode 100644
index 0000000..2a63247
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/zsortfunc.go
@@ -0,0 +1,479 @@
+// Code generated by gen_sort_variants.go; DO NOT EDIT.
+
+// Copyright 2022 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 slices
+
+// insertionSortLessFunc sorts data[a:b] using insertion sort.
+func insertionSortLessFunc[E any](data []E, a, b int, less func(a, b E) bool) {
+	for i := a + 1; i < b; i++ {
+		for j := i; j > a && less(data[j], data[j-1]); j-- {
+			data[j], data[j-1] = data[j-1], data[j]
+		}
+	}
+}
+
+// siftDownLessFunc implements the heap property on data[lo:hi].
+// first is an offset into the array where the root of the heap lies.
+func siftDownLessFunc[E any](data []E, lo, hi, first int, less func(a, b E) bool) {
+	root := lo
+	for {
+		child := 2*root + 1
+		if child >= hi {
+			break
+		}
+		if child+1 < hi && less(data[first+child], data[first+child+1]) {
+			child++
+		}
+		if !less(data[first+root], data[first+child]) {
+			return
+		}
+		data[first+root], data[first+child] = data[first+child], data[first+root]
+		root = child
+	}
+}
+
+func heapSortLessFunc[E any](data []E, a, b int, less func(a, b E) bool) {
+	first := a
+	lo := 0
+	hi := b - a
+
+	// Build heap with greatest element at top.
+	for i := (hi - 1) / 2; i >= 0; i-- {
+		siftDownLessFunc(data, i, hi, first, less)
+	}
+
+	// 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]
+		siftDownLessFunc(data, lo, i, first, less)
+	}
+}
+
+// pdqsortLessFunc sorts data[a:b].
+// The algorithm based on pattern-defeating quicksort(pdqsort), but without the optimizations from BlockQuicksort.
+// pdqsort paper: https://arxiv.org/pdf/2106.05123.pdf
+// C++ implementation: https://github.com/orlp/pdqsort
+// Rust implementation: https://docs.rs/pdqsort/latest/pdqsort/
+// limit is the number of allowed bad (very unbalanced) pivots before falling back to heapsort.
+func pdqsortLessFunc[E any](data []E, a, b, limit int, less func(a, b E) bool) {
+	const maxInsertion = 12
+
+	var (
+		wasBalanced    = true // whether the last partitioning was reasonably balanced
+		wasPartitioned = true // whether the slice was already partitioned
+	)
+
+	for {
+		length := b - a
+
+		if length <= maxInsertion {
+			insertionSortLessFunc(data, a, b, less)
+			return
+		}
+
+		// Fall back to heapsort if too many bad choices were made.
+		if limit == 0 {
+			heapSortLessFunc(data, a, b, less)
+			return
+		}
+
+		// If the last partitioning was imbalanced, we need to breaking patterns.
+		if !wasBalanced {
+			breakPatternsLessFunc(data, a, b, less)
+			limit--
+		}
+
+		pivot, hint := choosePivotLessFunc(data, a, b, less)
+		if hint == decreasingHint {
+			reverseRangeLessFunc(data, a, b, less)
+			// The chosen pivot was pivot-a elements after the start of the array.
+			// After reversing it is pivot-a elements before the end of the array.
+			// The idea came from Rust's implementation.
+			pivot = (b - 1) - (pivot - a)
+			hint = increasingHint
+		}
+
+		// The slice is likely already sorted.
+		if wasBalanced && wasPartitioned && hint == increasingHint {
+			if partialInsertionSortLessFunc(data, a, b, less) {
+				return
+			}
+		}
+
+		// Probably the slice contains many duplicate elements, partition the slice into
+		// elements equal to and elements greater than the pivot.
+		if a > 0 && !less(data[a-1], data[pivot]) {
+			mid := partitionEqualLessFunc(data, a, b, pivot, less)
+			a = mid
+			continue
+		}
+
+		mid, alreadyPartitioned := partitionLessFunc(data, a, b, pivot, less)
+		wasPartitioned = alreadyPartitioned
+
+		leftLen, rightLen := mid-a, b-mid
+		balanceThreshold := length / 8
+		if leftLen < rightLen {
+			wasBalanced = leftLen >= balanceThreshold
+			pdqsortLessFunc(data, a, mid, limit, less)
+			a = mid + 1
+		} else {
+			wasBalanced = rightLen >= balanceThreshold
+			pdqsortLessFunc(data, mid+1, b, limit, less)
+			b = mid
+		}
+	}
+}
+
+// partitionLessFunc does one quicksort partition.
+// Let p = data[pivot]
+// Moves elements in data[a:b] around, so that data[i]<p and data[j]>=p for i<newpivot and j>newpivot.
+// On return, data[newpivot] = p
+func partitionLessFunc[E any](data []E, a, b, pivot int, less func(a, b E) bool) (newpivot int, alreadyPartitioned bool) {
+	data[a], data[pivot] = data[pivot], data[a]
+	i, j := a+1, b-1 // i and j are inclusive of the elements remaining to be partitioned
+
+	for i <= j && less(data[i], data[a]) {
+		i++
+	}
+	for i <= j && !less(data[j], data[a]) {
+		j--
+	}
+	if i > j {
+		data[j], data[a] = data[a], data[j]
+		return j, true
+	}
+	data[i], data[j] = data[j], data[i]
+	i++
+	j--
+
+	for {
+		for i <= j && less(data[i], data[a]) {
+			i++
+		}
+		for i <= j && !less(data[j], data[a]) {
+			j--
+		}
+		if i > j {
+			break
+		}
+		data[i], data[j] = data[j], data[i]
+		i++
+		j--
+	}
+	data[j], data[a] = data[a], data[j]
+	return j, false
+}
+
+// partitionEqualLessFunc partitions data[a:b] into elements equal to data[pivot] followed by elements greater than data[pivot].
+// It assumed that data[a:b] does not contain elements smaller than the data[pivot].
+func partitionEqualLessFunc[E any](data []E, a, b, pivot int, less func(a, b E) bool) (newpivot int) {
+	data[a], data[pivot] = data[pivot], data[a]
+	i, j := a+1, b-1 // i and j are inclusive of the elements remaining to be partitioned
+
+	for {
+		for i <= j && !less(data[a], data[i]) {
+			i++
+		}
+		for i <= j && less(data[a], data[j]) {
+			j--
+		}
+		if i > j {
+			break
+		}
+		data[i], data[j] = data[j], data[i]
+		i++
+		j--
+	}
+	return i
+}
+
+// partialInsertionSortLessFunc partially sorts a slice, returns true if the slice is sorted at the end.
+func partialInsertionSortLessFunc[E any](data []E, a, b int, less func(a, b E) bool) bool {
+	const (
+		maxSteps         = 5  // maximum number of adjacent out-of-order pairs that will get shifted
+		shortestShifting = 50 // don't shift any elements on short arrays
+	)
+	i := a + 1
+	for j := 0; j < maxSteps; j++ {
+		for i < b && !less(data[i], data[i-1]) {
+			i++
+		}
+
+		if i == b {
+			return true
+		}
+
+		if b-a < shortestShifting {
+			return false
+		}
+
+		data[i], data[i-1] = data[i-1], data[i]
+
+		// Shift the smaller one to the left.
+		if i-a >= 2 {
+			for j := i - 1; j >= 1; j-- {
+				if !less(data[j], data[j-1]) {
+					break
+				}
+				data[j], data[j-1] = data[j-1], data[j]
+			}
+		}
+		// Shift the greater one to the right.
+		if b-i >= 2 {
+			for j := i + 1; j < b; j++ {
+				if !less(data[j], data[j-1]) {
+					break
+				}
+				data[j], data[j-1] = data[j-1], data[j]
+			}
+		}
+	}
+	return false
+}
+
+// breakPatternsLessFunc scatters some elements around in an attempt to break some patterns
+// that might cause imbalanced partitions in quicksort.
+func breakPatternsLessFunc[E any](data []E, a, b int, less func(a, b E) bool) {
+	length := b - a
+	if length >= 8 {
+		random := xorshift(length)
+		modulus := nextPowerOfTwo(length)
+
+		for idx := a + (length/4)*2 - 1; idx <= a+(length/4)*2+1; idx++ {
+			other := int(uint(random.Next()) & (modulus - 1))
+			if other >= length {
+				other -= length
+			}
+			data[idx], data[a+other] = data[a+other], data[idx]
+		}
+	}
+}
+
+// choosePivotLessFunc chooses a pivot in data[a:b].
+//
+// [0,8): chooses a static pivot.
+// [8,shortestNinther): uses the simple median-of-three method.
+// [shortestNinther,∞): uses the Tukey ninther method.
+func choosePivotLessFunc[E any](data []E, a, b int, less func(a, b E) bool) (pivot int, hint sortedHint) {
+	const (
+		shortestNinther = 50
+		maxSwaps        = 4 * 3
+	)
+
+	l := b - a
+
+	var (
+		swaps int
+		i     = a + l/4*1
+		j     = a + l/4*2
+		k     = a + l/4*3
+	)
+
+	if l >= 8 {
+		if l >= shortestNinther {
+			// Tukey ninther method, the idea came from Rust's implementation.
+			i = medianAdjacentLessFunc(data, i, &swaps, less)
+			j = medianAdjacentLessFunc(data, j, &swaps, less)
+			k = medianAdjacentLessFunc(data, k, &swaps, less)
+		}
+		// Find the median among i, j, k and stores it into j.
+		j = medianLessFunc(data, i, j, k, &swaps, less)
+	}
+
+	switch swaps {
+	case 0:
+		return j, increasingHint
+	case maxSwaps:
+		return j, decreasingHint
+	default:
+		return j, unknownHint
+	}
+}
+
+// order2LessFunc returns x,y where data[x] <= data[y], where x,y=a,b or x,y=b,a.
+func order2LessFunc[E any](data []E, a, b int, swaps *int, less func(a, b E) bool) (int, int) {
+	if less(data[b], data[a]) {
+		*swaps++
+		return b, a
+	}
+	return a, b
+}
+
+// medianLessFunc returns x where data[x] is the median of data[a],data[b],data[c], where x is a, b, or c.
+func medianLessFunc[E any](data []E, a, b, c int, swaps *int, less func(a, b E) bool) int {
+	a, b = order2LessFunc(data, a, b, swaps, less)
+	b, c = order2LessFunc(data, b, c, swaps, less)
+	a, b = order2LessFunc(data, a, b, swaps, less)
+	return b
+}
+
+// medianAdjacentLessFunc finds the median of data[a - 1], data[a], data[a + 1] and stores the index into a.
+func medianAdjacentLessFunc[E any](data []E, a int, swaps *int, less func(a, b E) bool) int {
+	return medianLessFunc(data, a-1, a, a+1, swaps, less)
+}
+
+func reverseRangeLessFunc[E any](data []E, a, b int, less func(a, b E) bool) {
+	i := a
+	j := b - 1
+	for i < j {
+		data[i], data[j] = data[j], data[i]
+		i++
+		j--
+	}
+}
+
+func swapRangeLessFunc[E any](data []E, a, b, n int, less func(a, b E) bool) {
+	for i := 0; i < n; i++ {
+		data[a+i], data[b+i] = data[b+i], data[a+i]
+	}
+}
+
+func stableLessFunc[E any](data []E, n int, less func(a, b E) bool) {
+	blockSize := 20 // must be > 0
+	a, b := 0, blockSize
+	for b <= n {
+		insertionSortLessFunc(data, a, b, less)
+		a = b
+		b += blockSize
+	}
+	insertionSortLessFunc(data, a, n, less)
+
+	for blockSize < n {
+		a, b = 0, 2*blockSize
+		for b <= n {
+			symMergeLessFunc(data, a, a+blockSize, b, less)
+			a = b
+			b += 2 * blockSize
+		}
+		if m := a + blockSize; m < n {
+			symMergeLessFunc(data, a, m, n, less)
+		}
+		blockSize *= 2
+	}
+}
+
+// symMergeLessFunc merges the two sorted subsequences data[a:m] and data[m:b] using
+// the SymMerge algorithm from Pok-Son Kim and Arne Kutzner, "Stable Minimum
+// Storage Merging by Symmetric Comparisons", in Susanne Albers and Tomasz
+// Radzik, editors, Algorithms - ESA 2004, volume 3221 of Lecture Notes in
+// Computer Science, pages 714-723. Springer, 2004.
+//
+// Let M = m-a and N = b-n. Wolog M < N.
+// The recursion depth is bound by ceil(log(N+M)).
+// The algorithm needs O(M*log(N/M + 1)) calls to data.Less.
+// The algorithm needs O((M+N)*log(M)) calls to data.Swap.
+//
+// The paper gives O((M+N)*log(M)) as the number of assignments assuming a
+// rotation algorithm which uses O(M+N+gcd(M+N)) assignments. The argumentation
+// in the paper carries through for Swap operations, especially as the block
+// swapping rotate uses only O(M+N) Swaps.
+//
+// symMerge assumes non-degenerate arguments: a < m && m < b.
+// Having the caller check this condition eliminates many leaf recursion calls,
+// which improves performance.
+func symMergeLessFunc[E any](data []E, a, m, b int, less func(a, b E) bool) {
+	// Avoid unnecessary recursions of symMerge
+	// by direct insertion of data[a] into data[m:b]
+	// if data[a:m] only contains one element.
+	if m-a == 1 {
+		// Use binary search to find the lowest index i
+		// such that data[i] >= data[a] for m <= i < b.
+		// Exit the search loop with i == b in case no such index exists.
+		i := m
+		j := b
+		for i < j {
+			h := int(uint(i+j) >> 1)
+			if less(data[h], data[a]) {
+				i = h + 1
+			} else {
+				j = h
+			}
+		}
+		// Swap values until data[a] reaches the position before i.
+		for k := a; k < i-1; k++ {
+			data[k], data[k+1] = data[k+1], data[k]
+		}
+		return
+	}
+
+	// Avoid unnecessary recursions of symMerge
+	// by direct insertion of data[m] into data[a:m]
+	// if data[m:b] only contains one element.
+	if b-m == 1 {
+		// Use binary search to find the lowest index i
+		// such that data[i] > data[m] for a <= i < m.
+		// Exit the search loop with i == m in case no such index exists.
+		i := a
+		j := m
+		for i < j {
+			h := int(uint(i+j) >> 1)
+			if !less(data[m], data[h]) {
+				i = h + 1
+			} else {
+				j = h
+			}
+		}
+		// Swap values until data[m] reaches the position i.
+		for k := m; k > i; k-- {
+			data[k], data[k-1] = data[k-1], data[k]
+		}
+		return
+	}
+
+	mid := int(uint(a+b) >> 1)
+	n := mid + m
+	var start, r int
+	if m > mid {
+		start = n - b
+		r = mid
+	} else {
+		start = a
+		r = m
+	}
+	p := n - 1
+
+	for start < r {
+		c := int(uint(start+r) >> 1)
+		if !less(data[p-c], data[c]) {
+			start = c + 1
+		} else {
+			r = c
+		}
+	}
+
+	end := n - start
+	if start < m && m < end {
+		rotateLessFunc(data, start, m, end, less)
+	}
+	if a < start && start < mid {
+		symMergeLessFunc(data, a, start, mid, less)
+	}
+	if mid < end && end < b {
+		symMergeLessFunc(data, mid, end, b, less)
+	}
+}
+
+// rotateLessFunc rotates two consecutive blocks u = data[a:m] and v = data[m:b] in data:
+// Data of the form 'x u v y' is changed to 'x v u y'.
+// rotate performs at most b-a many calls to data.Swap,
+// and it assumes non-degenerate arguments: a < m && m < b.
+func rotateLessFunc[E any](data []E, a, m, b int, less func(a, b E) bool) {
+	i := m - a
+	j := b - m
+
+	for i != j {
+		if i > j {
+			swapRangeLessFunc(data, m-i, m, j, less)
+			i -= j
+		} else {
+			swapRangeLessFunc(data, m-i, m+j-i, i, less)
+			j -= i
+		}
+	}
+	// i == j
+	swapRangeLessFunc(data, m-i, m, i, less)
+}
diff --git a/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/zsortordered.go b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/zsortordered.go
new file mode 100644
index 0000000..efaa1c8
--- /dev/null
+++ b/dependencies/pkg/mod/golang.org/x/exp@v0.0.0-20220613132600-b0d781184e0d/slices/zsortordered.go
@@ -0,0 +1,481 @@
+// Code generated by gen_sort_variants.go; DO NOT EDIT.
+
+// Copyright 2022 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 slices
+
+import "golang.org/x/exp/constraints"
+
+// insertionSortOrdered sorts data[a:b] using insertion sort.
+func insertionSortOrdered[E constraints.Ordered](data []E, 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]
+		}
+	}
+}
+
+// siftDownOrdered implements the heap property on data[lo:hi].
+// first is an offset into the array where the root of the heap lies.
+func siftDownOrdered[E constraints.Ordered](data []E, 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 heapSortOrdered[E constraints.Ordered](data []E, 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-- {
+		siftDownOrdered(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]
+		siftDownOrdered(data, lo, i, first)
+	}
+}
+
+// pdqsortOrdered sorts data[a:b].
+// The algorithm based on pattern-defeating quicksort(pdqsort), but without the optimizations from BlockQuicksort.
+// pdqsort paper: https://arxiv.org/pdf/2106.05123.pdf
+// C++ implementation: https://github.com/orlp/pdqsort
+// Rust implementation: https://docs.rs/pdqsort/latest/pdqsort/
+// limit is the number of allowed bad (very unbalanced) pivots before falling back to heapsort.
+func pdqsortOrdered[E constraints.Ordered](data []E, a, b, limit int) {
+	const maxInsertion = 12
+
+	var (
+		wasBalanced    = true // whether the last partitioning was reasonably balanced
+		wasPartitioned = true // whether the slice was already partitioned
+	)
+
+	for {
+		length := b - a
+
+		if length <= maxInsertion {
+			insertionSortOrdered(data, a, b)
+			return
+		}
+
+		// Fall back to heapsort if too many bad choices were made.
+		if limit == 0 {
+			heapSortOrdered(data, a, b)
+			return
+		}
+
+		// If the last partitioning was imbalanced, we need to breaking patterns.
+		if !wasBalanced {
+			breakPatternsOrdered(data, a, b)
+			limit--
+		}
+
+		pivot, hint := choosePivotOrdered(data, a, b)
+		if hint == decreasingHint {
+			reverseRangeOrdered(data, a, b)
+			// The chosen pivot was pivot-a elements after the start of the array.
+			// After reversing it is pivot-a elements before the end of the array.
+			// The idea came from Rust's implementation.
+			pivot = (b - 1) - (pivot - a)
+			hint = increasingHint
+		}
+
+		// The slice is likely already sorted.
+		if wasBalanced && wasPartitioned && hint == increasingHint {
+			if partialInsertionSortOrdered(data, a, b) {
+				return
+			}
+		}
+
+		// Probably the slice contains many duplicate elements, partition the slice into
+		// elements equal to and elements greater than the pivot.
+		if a > 0 && !(data[a-1] < data[pivot]) {
+			mid := partitionEqualOrdered(data, a, b, pivot)
+			a = mid
+			continue
+		}
+
+		mid, alreadyPartitioned := partitionOrdered(data, a, b, pivot)
+		wasPartitioned = alreadyPartitioned
+
+		leftLen, rightLen := mid-a, b-mid
+		balanceThreshold := length / 8
+		if leftLen < rightLen {
+			wasBalanced = leftLen >= balanceThreshold
+			pdqsortOrdered(data, a, mid, limit)
+			a = mid + 1
+		} else {
+			wasBalanced = rightLen >= balanceThreshold
+			pdqsortOrdered(data, mid+1, b, limit)
+			b = mid
+		}
+	}
+}
+
+// partitionOrdered does one quicksort partition.
+// Let p = data[pivot]
+// Moves elements in data[a:b] around, so that data[i]<p and data[j]>=p for i<newpivot and j>newpivot.
+// On return, data[newpivot] = p
+func partitionOrdered[E constraints.Ordered](data []E, a, b, pivot int) (newpivot int, alreadyPartitioned bool) {
+	data[a], data[pivot] = data[pivot], data[a]
+	i, j := a+1, b-1 // i and j are inclusive of the elements remaining to be partitioned
+
+	for i <= j && (data[i] < data[a]) {
+		i++
+	}
+	for i <= j && !(data[j] < data[a]) {
+		j--
+	}
+	if i > j {
+		data[j], data[a] = data[a], data[j]
+		return j, true
+	}
+	data[i], data[j] = data[j], data[i]
+	i++
+	j--
+
+	for {
+		for i <= j && (data[i] < data[a]) {
+			i++
+		}
+		for i <= j && !(data[j] < data[a]) {
+			j--
+		}
+		if i > j {
+			break
+		}
+		data[i], data[j] = data[j], data[i]
+		i++
+		j--
+	}
+	data[j], data[a] = data[a], data[j]
+	return j, false
+}
+
+// partitionEqualOrdered partitions data[a:b] into elements equal to data[pivot] followed by elements greater than data[pivot].
+// It assumed that data[a:b] does not contain elements smaller than the data[pivot].
+func partitionEqualOrdered[E constraints.Ordered](data []E, a, b, pivot int) (newpivot int) {
+	data[a], data[pivot] = data[pivot], data[a]
+	i, j := a+1, b-1 // i and j are inclusive of the elements remaining to be partitioned
+
+	for {
+		for i <= j && !(data[a] < data[i]) {
+			i++
+		}
+		for i <= j && (data[a] < data[j]) {
+			j--
+		}
+		if i > j {
+			break
+		}
+		data[i], data[j] = data[j], data[i]
+		i++
+		j--
+	}
+	return i
+}
+
+// partialInsertionSortOrdered partially sorts a slice, returns true if the slice is sorted at the end.
+func partialInsertionSortOrdered[E constraints.Ordered](data []E, a, b int) bool {
+	const (
+		maxSteps         = 5  // maximum number of adjacent out-of-order pairs that will get shifted
+		shortestShifting = 50 // don't shift any elements on short arrays
+	)
+	i := a + 1
+	for j := 0; j < maxSteps; j++ {
+		for i < b && !(data[i] < data[i-1]) {
+			i++
+		}
+
+		if i == b {
+			return true
+		}
+
+		if b-a < shortestShifting {
+			return false
+		}
+
+		data[i], data[i-1] = data[i-1], data[i]
+
+		// Shift the smaller one to the left.
+		if i-a >= 2 {
+			for j := i - 1; j >= 1; j-- {
+				if !(data[j] < data[j-1]) {
+					break
+				}
+				data[j], data[j-1] = data[j-1], data[j]
+			}
+		}
+		// Shift the greater one to the right.
+		if b-i >= 2 {
+			for j := i + 1; j < b; j++ {
+				if !(data[j] < data[j-1]) {
+					break
+				}
+				data[j], data[j-1] = data[j-1], data[j]
+			}
+		}
+	}
+	return false
+}
+
+// breakPatternsOrdered scatters some elements around in an attempt to break some patterns
+// that might cause imbalanced partitions in quicksort.
+func breakPatternsOrdered[E constraints.Ordered](data []E, a, b int) {
+	length := b - a
+	if length >= 8 {
+		random := xorshift(length)
+		modulus := nextPowerOfTwo(length)
+
+		for idx := a + (length/4)*2 - 1; idx <= a+(length/4)*2+1; idx++ {
+			other := int(uint(random.Next()) & (modulus - 1))
+			if other >= length {
+				other -= length
+			}
+			data[idx], data[a+other] = data[a+other], data[idx]
+		}
+	}
+}
+
+// choosePivotOrdered chooses a pivot in data[a:b].
+//
+// [0,8): chooses a static pivot.
+// [8,shortestNinther): uses the simple median-of-three method.
+// [shortestNinther,∞): uses the Tukey ninther method.
+func choosePivotOrdered[E constraints.Ordered](data []E, a, b int) (pivot int, hint sortedHint) {
+	const (
+		shortestNinther = 50
+		maxSwaps        = 4 * 3
+	)
+
+	l := b - a
+
+	var (
+		swaps int
+		i     = a + l/4*1
+		j     = a + l/4*2
+		k     = a + l/4*3
+	)
+
+	if l >= 8 {
+		if l >= shortestNinther {
+			// Tukey ninther method, the idea came from Rust's implementation.
+			i = medianAdjacentOrdered(data, i, &swaps)
+			j = medianAdjacentOrdered(data, j, &swaps)
+			k = medianAdjacentOrdered(data, k, &swaps)
+		}
+		// Find the median among i, j, k and stores it into j.
+		j = medianOrdered(data, i, j, k, &swaps)
+	}
+
+	switch swaps {
+	case 0:
+		return j, increasingHint
+	case maxSwaps:
+		return j, decreasingHint
+	default:
+		return j, unknownHint
+	}
+}
+
+// order2Ordered returns x,y where data[x] <= data[y], where x,y=a,b or x,y=b,a.
+func order2Ordered[E constraints.Ordered](data []E, a, b int, swaps *int) (int, int) {
+	if data[b] < data[a] {
+		*swaps++
+		return b, a
+	}
+	return a, b
+}
+
+// medianOrdered returns x where data[x] is the median of data[a],data[b],data[c], where x is a, b, or c.
+func medianOrdered[E constraints.Ordered](data []E, a, b, c int, swaps *int) int {
+	a, b = order2Ordered(data, a, b, swaps)
+	b, c = order2Ordered(data, b, c, swaps)
+	a, b = order2Ordered(data, a, b, swaps)
+	return b
+}
+
+// medianAdjacentOrdered finds the median of data[a - 1], data[a], data[a + 1] and stores the index into a.
+func medianAdjacentOrdered[E constraints.Ordered](data []E, a int, swaps *int) int {
+	return medianOrdered(data, a-1, a, a+1, swaps)
+}
+
+func reverseRangeOrdered[E constraints.Ordered](data []E, a, b int) {
+	i := a
+	j := b - 1
+	for i < j {
+		data[i], data[j] = data[j], data[i]
+		i++
+		j--
+	}
+}
+
+func swapRangeOrdered[E constraints.Ordered](data []E, a, b, n int) {
+	for i := 0; i < n; i++ {
+		data[a+i], data[b+i] = data[b+i], data[a+i]
+	}
+}
+
+func stableOrdered[E constraints.Ordered](data []E, n int) {
+	blockSize := 20 // must be > 0
+	a, b := 0, blockSize
+	for b <= n {
+		insertionSortOrdered(data, a, b)
+		a = b
+		b += blockSize
+	}
+	insertionSortOrdered(data, a, n)
+
+	for blockSize < n {
+		a, b = 0, 2*blockSize
+		for b <= n {
+			symMergeOrdered(data, a, a+blockSize, b)
+			a = b
+			b += 2 * blockSize
+		}
+		if m := a + blockSize; m < n {
+			symMergeOrdered(data, a, m, n)
+		}
+		blockSize *= 2
+	}
+}
+
+// symMergeOrdered merges the two sorted subsequences data[a:m] and data[m:b] using
+// the SymMerge algorithm from Pok-Son Kim and Arne Kutzner, "Stable Minimum
+// Storage Merging by Symmetric Comparisons", in Susanne Albers and Tomasz
+// Radzik, editors, Algorithms - ESA 2004, volume 3221 of Lecture Notes in
+// Computer Science, pages 714-723. Springer, 2004.
+//
+// Let M = m-a and N = b-n. Wolog M < N.
+// The recursion depth is bound by ceil(log(N+M)).
+// The algorithm needs O(M*log(N/M + 1)) calls to data.Less.
+// The algorithm needs O((M+N)*log(M)) calls to data.Swap.
+//
+// The paper gives O((M+N)*log(M)) as the number of assignments assuming a
+// rotation algorithm which uses O(M+N+gcd(M+N)) assignments. The argumentation
+// in the paper carries through for Swap operations, especially as the block
+// swapping rotate uses only O(M+N) Swaps.
+//
+// symMerge assumes non-degenerate arguments: a < m && m < b.
+// Having the caller check this condition eliminates many leaf recursion calls,
+// which improves performance.
+func symMergeOrdered[E constraints.Ordered](data []E, a, m, b int) {
+	// Avoid unnecessary recursions of symMerge
+	// by direct insertion of data[a] into data[m:b]
+	// if data[a:m] only contains one element.
+	if m-a == 1 {
+		// Use binary search to find the lowest index i
+		// such that data[i] >= data[a] for m <= i < b.
+		// Exit the search loop with i == b in case no such index exists.
+		i := m
+		j := b
+		for i < j {
+			h := int(uint(i+j) >> 1)
+			if data[h] < data[a] {
+				i = h + 1
+			} else {
+				j = h
+			}
+		}
+		// Swap values until data[a] reaches the position before i.
+		for k := a; k < i-1; k++ {
+			data[k], data[k+1] = data[k+1], data[k]
+		}
+		return
+	}
+
+	// Avoid unnecessary recursions of symMerge
+	// by direct insertion of data[m] into data[a:m]
+	// if data[m:b] only contains one element.
+	if b-m == 1 {
+		// Use binary search to find the lowest index i
+		// such that data[i] > data[m] for a <= i < m.
+		// Exit the search loop with i == m in case no such index exists.
+		i := a
+		j := m
+		for i < j {
+			h := int(uint(i+j) >> 1)
+			if !(data[m] < data[h]) {
+				i = h + 1
+			} else {
+				j = h
+			}
+		}
+		// Swap values until data[m] reaches the position i.
+		for k := m; k > i; k-- {
+			data[k], data[k-1] = data[k-1], data[k]
+		}
+		return
+	}
+
+	mid := int(uint(a+b) >> 1)
+	n := mid + m
+	var start, r int
+	if m > mid {
+		start = n - b
+		r = mid
+	} else {
+		start = a
+		r = m
+	}
+	p := n - 1
+
+	for start < r {
+		c := int(uint(start+r) >> 1)
+		if !(data[p-c] < data[c]) {
+			start = c + 1
+		} else {
+			r = c
+		}
+	}
+
+	end := n - start
+	if start < m && m < end {
+		rotateOrdered(data, start, m, end)
+	}
+	if a < start && start < mid {
+		symMergeOrdered(data, a, start, mid)
+	}
+	if mid < end && end < b {
+		symMergeOrdered(data, mid, end, b)
+	}
+}
+
+// rotateOrdered rotates two consecutive blocks u = data[a:m] and v = data[m:b] in data:
+// Data of the form 'x u v y' is changed to 'x v u y'.
+// rotate performs at most b-a many calls to data.Swap,
+// and it assumes non-degenerate arguments: a < m && m < b.
+func rotateOrdered[E constraints.Ordered](data []E, a, m, b int) {
+	i := m - a
+	j := b - m
+
+	for i != j {
+		if i > j {
+			swapRangeOrdered(data, m-i, m, j)
+			i -= j
+		} else {
+			swapRangeOrdered(data, m-i, m+j-i, i)
+			j -= i
+		}
+	}
+	// i == j
+	swapRangeOrdered(data, m-i, m, i)
+}