diff --git a/go.mod b/go.mod index 50991b9..86d98e7 100644 --- a/go.mod +++ b/go.mod @@ -7,7 +7,7 @@ require ( github.com/benbjohnson/clock v1.3.5 github.com/google/go-cmp v0.6.0 github.com/onsi/ginkgo/v2 v2.19.1 - github.com/onsi/gomega v1.34.0 + github.com/onsi/gomega v1.34.1 github.com/satori/go.uuid v1.2.0 ) @@ -15,9 +15,10 @@ require ( github.com/go-logr/logr v1.4.2 // indirect github.com/go-task/slim-sprig/v3 v3.0.0 // indirect github.com/google/pprof v0.0.0-20240424215950-a892ee059fd6 // indirect + golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56 // indirect golang.org/x/net v0.27.0 // indirect golang.org/x/sys v0.22.0 // indirect golang.org/x/text v0.16.0 // indirect - golang.org/x/tools v0.21.1-0.20240508182429-e35e4ccd0d2d // indirect + golang.org/x/tools v0.23.0 // indirect gopkg.in/yaml.v3 v3.0.1 // indirect ) diff --git a/go.sum b/go.sum index c2c0f05..e4f34a7 100644 --- a/go.sum +++ b/go.sum @@ -14,22 +14,24 @@ github.com/google/pprof v0.0.0-20240424215950-a892ee059fd6 h1:k7nVchz72niMH6YLQN github.com/google/pprof v0.0.0-20240424215950-a892ee059fd6/go.mod h1:kf6iHlnVGwgKolg33glAes7Yg/8iWP8ukqeldJSO7jw= github.com/onsi/ginkgo/v2 v2.19.1 h1:QXgq3Z8Crl5EL1WBAC98A5sEBHARrAJNzAmMxzLcRF0= github.com/onsi/ginkgo/v2 v2.19.1/go.mod h1:O3DtEWQkPa/F7fBMgmZQKKsluAy8pd3rEQdrjkPb9zA= -github.com/onsi/gomega v1.34.0 h1:eSSPsPNp6ZpsG8X1OVmOTxig+CblTc4AxpPBykhe2Os= -github.com/onsi/gomega v1.34.0/go.mod h1:MIKI8c+f+QLWk+hxbePD4i0LMJSExPaZOVfkoex4cAo= +github.com/onsi/gomega v1.34.1 h1:EUMJIKUjM8sKjYbtxQI9A4z2o+rruxnzNvpknOXie6k= +github.com/onsi/gomega v1.34.1/go.mod h1:kU1QgUvBDLXBJq618Xvm2LUX6rSAfRaFRTcdOeDLwwY= github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM= github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= github.com/satori/go.uuid v1.2.0 h1:0uYX9dsZ2yD7q2RtLRtPSdGDWzjeM3TbMJP9utgA0ww= github.com/satori/go.uuid v1.2.0/go.mod h1:dA0hQrYB0VpLJoorglMZABFdXlWrHn1NEOzdhQKdks0= github.com/stretchr/testify v1.8.4 h1:CcVxjf3Q8PM0mHUKJCdn+eZZtm5yQwehR5yeSVQQcUk= github.com/stretchr/testify v1.8.4/go.mod h1:sz/lmYIOXD/1dqDmKjjqLyZ2RngseejIcXlSw2iwfAo= +golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56 h1:2dVuKD2vS7b0QIHQbpyTISPd0LeHDbnYEryqj5Q1ug8= +golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56/go.mod h1:M4RDyNAINzryxdtnbRXRL/OHtkFuWGRjvuhBJpk2IlY= golang.org/x/net v0.27.0 h1:5K3Njcw06/l2y9vpGCSdcxWOYHOUk3dVNGDXN+FvAys= golang.org/x/net v0.27.0/go.mod h1:dDi0PyhWNoiUOrAS8uXv/vnScO4wnHQO4mj9fn/RytE= golang.org/x/sys v0.22.0 h1:RI27ohtqKCnwULzJLqkv897zojh5/DwS/ENaMzUOaWI= golang.org/x/sys v0.22.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA= golang.org/x/text v0.16.0 h1:a94ExnEXNtEwYLGJSIUxnWoxoRz/ZcCsV63ROupILh4= golang.org/x/text v0.16.0/go.mod h1:GhwF1Be+LQoKShO3cGOHzqOgRrGaYc9AvblQOmPVHnI= -golang.org/x/tools v0.21.1-0.20240508182429-e35e4ccd0d2d h1:vU5i/LfpvrRCpgM/VPfJLg5KjxD3E+hfT1SH+d9zLwg= -golang.org/x/tools v0.21.1-0.20240508182429-e35e4ccd0d2d/go.mod h1:aiJjzUbINMkxbQROHiO6hDPo2LHcIPhhQsa9DLh0yGk= +golang.org/x/tools v0.23.0 h1:SGsXPZ+2l4JsgaCKkx+FQ9YZ5XEtA1GZYuoDjenLjvg= +golang.org/x/tools v0.23.0/go.mod h1:pnu6ufv6vQkll6szChhK3C3L/ruaIv5eBeztNG8wtsI= google.golang.org/protobuf v1.34.1 h1:9ddQBjfCyZPOHPUiPxpYESBLc+T8P3E+Vo4IbKZgFWg= google.golang.org/protobuf v1.34.1/go.mod h1:c6P6GXX6sHbq/GpV6MGZEdwhWPcYBgnhAHhKbcUYpos= gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405 h1:yhCVgyC4o1eVCa2tZl7eS0r+SDo693bJlVdllGtEeKM= diff --git a/vendor/github.com/onsi/gomega/CHANGELOG.md b/vendor/github.com/onsi/gomega/CHANGELOG.md index 9572e5f..c6c34d6 100644 --- a/vendor/github.com/onsi/gomega/CHANGELOG.md +++ b/vendor/github.com/onsi/gomega/CHANGELOG.md @@ -1,3 +1,8 @@ +## 1.34.1 + +### Maintenance +- Use slices from exp/slices to keep golang 1.20 compat [5e71dcd] + ## 1.34.0 ### Features diff --git a/vendor/github.com/onsi/gomega/gomega_dsl.go b/vendor/github.com/onsi/gomega/gomega_dsl.go index 650ae86..2546ccc 100644 --- a/vendor/github.com/onsi/gomega/gomega_dsl.go +++ b/vendor/github.com/onsi/gomega/gomega_dsl.go @@ -22,7 +22,7 @@ import ( "github.com/onsi/gomega/types" ) -const GOMEGA_VERSION = "1.34.0" +const GOMEGA_VERSION = "1.34.1" const nilGomegaPanic = `You are trying to make an assertion, but haven't registered Gomega's fail handler. If you're using Ginkgo then you probably forgot to put your assertion in an It(). diff --git a/vendor/github.com/onsi/gomega/matchers/support/goraph/bipartitegraph/bipartitegraphmatching.go b/vendor/github.com/onsi/gomega/matchers/support/goraph/bipartitegraph/bipartitegraphmatching.go index 44aa61d..4339acc 100644 --- a/vendor/github.com/onsi/gomega/matchers/support/goraph/bipartitegraph/bipartitegraphmatching.go +++ b/vendor/github.com/onsi/gomega/matchers/support/goraph/bipartitegraph/bipartitegraphmatching.go @@ -1,7 +1,7 @@ package bipartitegraph import ( - "slices" + "golang.org/x/exp/slices" . "github.com/onsi/gomega/matchers/support/goraph/edge" . "github.com/onsi/gomega/matchers/support/goraph/node" diff --git a/vendor/golang.org/x/exp/LICENSE b/vendor/golang.org/x/exp/LICENSE new file mode 100644 index 0000000..2a7cf70 --- /dev/null +++ b/vendor/golang.org/x/exp/LICENSE @@ -0,0 +1,27 @@ +Copyright 2009 The Go Authors. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright +notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above +copyright notice, this list of conditions and the following disclaimer +in the documentation and/or other materials provided with the +distribution. + * Neither the name of Google LLC nor the names of its +contributors may be used to endorse or promote products derived from +this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/vendor/golang.org/x/exp/PATENTS b/vendor/golang.org/x/exp/PATENTS new file mode 100644 index 0000000..7330990 --- /dev/null +++ b/vendor/golang.org/x/exp/PATENTS @@ -0,0 +1,22 @@ +Additional IP Rights Grant (Patents) + +"This implementation" means the copyrightable works distributed by +Google as part of the Go project. + +Google hereby grants to You a perpetual, worldwide, non-exclusive, +no-charge, royalty-free, irrevocable (except as stated in this section) +patent license to make, have made, use, offer to sell, sell, import, +transfer and otherwise run, modify and propagate the contents of this +implementation of Go, where such license applies only to those patent +claims, both currently owned or controlled by Google and acquired in +the future, licensable by Google that are necessarily infringed by this +implementation of Go. This grant does not include claims that would be +infringed only as a consequence of further modification of this +implementation. If you or your agent or exclusive licensee institute or +order or agree to the institution of patent litigation against any +entity (including a cross-claim or counterclaim in a lawsuit) alleging +that this implementation of Go or any code incorporated within this +implementation of Go constitutes direct or contributory patent +infringement, or inducement of patent infringement, then any patent +rights granted to you under this License for this implementation of Go +shall terminate as of the date such litigation is filed. diff --git a/vendor/golang.org/x/exp/constraints/constraints.go b/vendor/golang.org/x/exp/constraints/constraints.go new file mode 100644 index 0000000..2c033df --- /dev/null +++ b/vendor/golang.org/x/exp/constraints/constraints.go @@ -0,0 +1,50 @@ +// 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 constraints defines a set of useful constraints to be used +// with type parameters. +package constraints + +// Signed is a constraint that permits any signed integer type. +// If future releases of Go add new predeclared signed integer types, +// this constraint will be modified to include them. +type Signed interface { + ~int | ~int8 | ~int16 | ~int32 | ~int64 +} + +// Unsigned is a constraint that permits any unsigned integer type. +// If future releases of Go add new predeclared unsigned integer types, +// this constraint will be modified to include them. +type Unsigned interface { + ~uint | ~uint8 | ~uint16 | ~uint32 | ~uint64 | ~uintptr +} + +// Integer is a constraint that permits any integer type. +// If future releases of Go add new predeclared integer types, +// this constraint will be modified to include them. +type Integer interface { + Signed | Unsigned +} + +// Float is a constraint that permits any floating-point type. +// If future releases of Go add new predeclared floating-point types, +// this constraint will be modified to include them. +type Float interface { + ~float32 | ~float64 +} + +// Complex is a constraint that permits any complex numeric type. +// If future releases of Go add new predeclared complex numeric types, +// this constraint will be modified to include them. +type Complex interface { + ~complex64 | ~complex128 +} + +// Ordered is a constraint that permits any ordered type: any type +// that supports the operators < <= >= >. +// If future releases of Go add new ordered types, +// this constraint will be modified to include them. +type Ordered interface { + Integer | Float | ~string +} diff --git a/vendor/golang.org/x/exp/slices/cmp.go b/vendor/golang.org/x/exp/slices/cmp.go new file mode 100644 index 0000000..fbf1934 --- /dev/null +++ b/vendor/golang.org/x/exp/slices/cmp.go @@ -0,0 +1,44 @@ +// Copyright 2023 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" + +// min is a version of the predeclared function from the Go 1.21 release. +func min[T constraints.Ordered](a, b T) T { + if a < b || isNaN(a) { + return a + } + return b +} + +// max is a version of the predeclared function from the Go 1.21 release. +func max[T constraints.Ordered](a, b T) T { + if a > b || isNaN(a) { + return a + } + return b +} + +// cmpLess is a copy of cmp.Less from the Go 1.21 release. +func cmpLess[T constraints.Ordered](x, y T) bool { + return (isNaN(x) && !isNaN(y)) || x < y +} + +// cmpCompare is a copy of cmp.Compare from the Go 1.21 release. +func cmpCompare[T constraints.Ordered](x, y T) int { + xNaN := isNaN(x) + yNaN := isNaN(y) + if xNaN && yNaN { + return 0 + } + if xNaN || x < y { + return -1 + } + if yNaN || x > y { + return +1 + } + return 0 +} diff --git a/vendor/golang.org/x/exp/slices/slices.go b/vendor/golang.org/x/exp/slices/slices.go new file mode 100644 index 0000000..46ceac3 --- /dev/null +++ b/vendor/golang.org/x/exp/slices/slices.go @@ -0,0 +1,515 @@ +// 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. +package slices + +import ( + "unsafe" + + "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[S ~[]E, E comparable](s1, s2 S) 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 an equality +// 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[S1 ~[]E1, S2 ~[]E2, E1, E2 any](s1 S1, s2 S2, 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, using [cmp.Compare] on each pair +// of elements. 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. +func Compare[S ~[]E, E constraints.Ordered](s1, s2 S) int { + for i, v1 := range s1 { + if i >= len(s2) { + return +1 + } + v2 := s2[i] + if c := cmpCompare(v1, v2); c != 0 { + return c + } + } + if len(s1) < len(s2) { + return -1 + } + return 0 +} + +// CompareFunc is like [Compare] but uses a custom comparison function on each +// pair of elements. +// 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[S1 ~[]E1, S2 ~[]E2, E1, E2 any](s1 S1, s2 S2, cmp func(E1, E2) int) int { + for i, v1 := range s1 { + if i >= len(s2) { + return +1 + } + v2 := s2[i] + if c := cmp(v1, v2); c != 0 { + return c + } + } + if len(s1) < len(s2) { + return -1 + } + return 0 +} + +// Index returns the index of the first occurrence of v in s, +// or -1 if not present. +func Index[S ~[]E, E comparable](s S, v E) int { + for i := range s { + if v == s[i] { + return i + } + } + return -1 +} + +// IndexFunc returns the first index i satisfying f(s[i]), +// or -1 if none do. +func IndexFunc[S ~[]E, E any](s S, f func(E) bool) int { + for i := range s { + if f(s[i]) { + return i + } + } + return -1 +} + +// Contains reports whether v is present in s. +func Contains[S ~[]E, E comparable](s S, v E) bool { + return Index(s, v) >= 0 +} + +// ContainsFunc reports whether at least one +// element e of s satisfies f(e). +func ContainsFunc[S ~[]E, E any](s S, f func(E) bool) bool { + return IndexFunc(s, f) >= 0 +} + +// Insert inserts the values v... into s at index i, +// returning the modified slice. +// The elements at s[i:] are shifted up to make room. +// In the returned slice r, r[i] == v[0], +// and r[i+len(v)] == value originally at r[i]. +// 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 { + m := len(v) + if m == 0 { + return s + } + n := len(s) + if i == n { + return append(s, v...) + } + if n+m > cap(s) { + // Use append rather than make so that we bump the size of + // the slice up to the next storage class. + // This is what Grow does but we don't call Grow because + // that might copy the values twice. + s2 := append(s[:i], make(S, n+m-i)...) + copy(s2[i:], v) + copy(s2[i+m:], s[i:]) + return s2 + } + s = s[:n+m] + + // before: + // s: aaaaaaaabbbbccccccccdddd + // ^ ^ ^ ^ + // i i+m n n+m + // after: + // s: aaaaaaaavvvvbbbbcccccccc + // ^ ^ ^ ^ + // i i+m n n+m + // + // a are the values that don't move in s. + // v are the values copied in from v. + // b and c are the values from s that are shifted up in index. + // d are the values that get overwritten, never to be seen again. + + if !overlaps(v, s[i+m:]) { + // Easy case - v does not overlap either the c or d regions. + // (It might be in some of a or b, or elsewhere entirely.) + // The data we copy up doesn't write to v at all, so just do it. + + copy(s[i+m:], s[i:]) + + // Now we have + // s: aaaaaaaabbbbbbbbcccccccc + // ^ ^ ^ ^ + // i i+m n n+m + // Note the b values are duplicated. + + copy(s[i:], v) + + // Now we have + // s: aaaaaaaavvvvbbbbcccccccc + // ^ ^ ^ ^ + // i i+m n n+m + // That's the result we want. + return s + } + + // The hard case - v overlaps c or d. We can't just shift up + // the data because we'd move or clobber the values we're trying + // to insert. + // So instead, write v on top of d, then rotate. + copy(s[n:], v) + + // Now we have + // s: aaaaaaaabbbbccccccccvvvv + // ^ ^ ^ ^ + // i i+m n n+m + + rotateRight(s[i:], m) + + // Now we have + // s: aaaaaaaavvvvbbbbcccccccc + // ^ ^ ^ ^ + // i i+m n n+m + // That's the result we want. + return s +} + +// clearSlice sets all elements up to the length of s to the zero value of E. +// We may use the builtin clear func instead, and remove clearSlice, when upgrading +// to Go 1.21+. +func clearSlice[S ~[]E, E any](s S) { + var zero E + for i := range s { + s[i] = zero + } +} + +// Delete removes the elements s[i:j] from s, returning the modified slice. +// Delete panics if j > len(s) or s[i:j] is not a valid slice of s. +// Delete is O(len(s)-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. +// Delete zeroes the elements s[len(s)-(j-i):len(s)]. +func Delete[S ~[]E, E any](s S, i, j int) S { + _ = s[i:j:len(s)] // bounds check + + if i == j { + return s + } + + oldlen := len(s) + s = append(s[:i], s[j:]...) + clearSlice(s[len(s):oldlen]) // zero/nil out the obsolete elements, for GC + return s +} + +// DeleteFunc removes any elements from s for which del returns true, +// returning the modified slice. +// DeleteFunc zeroes the elements between the new length and the original length. +func DeleteFunc[S ~[]E, E any](s S, del func(E) bool) S { + i := IndexFunc(s, del) + if i == -1 { + return s + } + // Don't start copying elements until we find one to delete. + for j := i + 1; j < len(s); j++ { + if v := s[j]; !del(v) { + s[i] = v + i++ + } + } + clearSlice(s[i:]) // zero/nil out the obsolete elements, for GC + return s[:i] +} + +// Replace replaces the elements s[i:j] by the given v, and returns the +// modified slice. Replace panics if s[i:j] is not a valid slice of s. +// When len(v) < (j-i), Replace zeroes the elements between the new length and the original length. +func Replace[S ~[]E, E any](s S, i, j int, v ...E) S { + _ = s[i:j] // verify that i:j is a valid subslice + + if i == j { + return Insert(s, i, v...) + } + if j == len(s) { + return append(s[:i], v...) + } + + tot := len(s[:i]) + len(v) + len(s[j:]) + if tot > cap(s) { + // Too big to fit, allocate and copy over. + s2 := append(s[:i], make(S, tot-i)...) // See Insert + copy(s2[i:], v) + copy(s2[i+len(v):], s[j:]) + return s2 + } + + r := s[:tot] + + if i+len(v) <= j { + // Easy, as v fits in the deleted portion. + copy(r[i:], v) + if i+len(v) != j { + copy(r[i+len(v):], s[j:]) + } + clearSlice(s[tot:]) // zero/nil out the obsolete elements, for GC + return r + } + + // We are expanding (v is bigger than j-i). + // The situation is something like this: + // (example has i=4,j=8,len(s)=16,len(v)=6) + // s: aaaaxxxxbbbbbbbbyy + // ^ ^ ^ ^ + // i j len(s) tot + // a: prefix of s + // x: deleted range + // b: more of s + // y: area to expand into + + if !overlaps(r[i+len(v):], v) { + // Easy, as v is not clobbered by the first copy. + copy(r[i+len(v):], s[j:]) + copy(r[i:], v) + return r + } + + // This is a situation where we don't have a single place to which + // we can copy v. Parts of it need to go to two different places. + // We want to copy the prefix of v into y and the suffix into x, then + // rotate |y| spots to the right. + // + // v[2:] v[:2] + // | | + // s: aaaavvvvbbbbbbbbvv + // ^ ^ ^ ^ + // i j len(s) tot + // + // If either of those two destinations don't alias v, then we're good. + y := len(v) - (j - i) // length of y portion + + if !overlaps(r[i:j], v) { + copy(r[i:j], v[y:]) + copy(r[len(s):], v[:y]) + rotateRight(r[i:], y) + return r + } + if !overlaps(r[len(s):], v) { + copy(r[len(s):], v[:y]) + copy(r[i:j], v[y:]) + rotateRight(r[i:], y) + return r + } + + // Now we know that v overlaps both x and y. + // That means that the entirety of b is *inside* v. + // So we don't need to preserve b at all; instead we + // can copy v first, then copy the b part of v out of + // v to the right destination. + k := startIdx(v, s[j:]) + copy(r[i:], v) + copy(r[i+len(v):], r[i+k:]) + return r +} + +// 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 and returns the modified slice, +// which may have a smaller length. +// Compact zeroes the elements between the new length and the original length. +func Compact[S ~[]E, E comparable](s S) S { + if len(s) < 2 { + return s + } + i := 1 + for k := 1; k < len(s); k++ { + if s[k] != s[k-1] { + if i != k { + s[i] = s[k] + } + i++ + } + } + clearSlice(s[i:]) // zero/nil out the obsolete elements, for GC + return s[:i] +} + +// CompactFunc is like [Compact] but uses an equality function to compare elements. +// For runs of elements that compare equal, CompactFunc keeps the first one. +// CompactFunc zeroes the elements between the new length and the original length. +func CompactFunc[S ~[]E, E any](s S, eq func(E, E) bool) S { + if len(s) < 2 { + return s + } + i := 1 + for k := 1; k < len(s); k++ { + if !eq(s[k], s[k-1]) { + if i != k { + s[i] = s[k] + } + i++ + } + } + clearSlice(s[i:]) // zero/nil out the obsolete elements, for GC + 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. If n is negative or too large to +// allocate the memory, Grow panics. +func Grow[S ~[]E, E any](s S, n int) S { + if n < 0 { + panic("cannot be negative") + } + if n -= cap(s) - len(s); n > 0 { + // TODO(https://go.dev/issue/53888): Make using []E instead of S + // to workaround a compiler bug where the runtime.growslice optimization + // does not take effect. Revert when the compiler is fixed. + s = append([]E(s)[:cap(s)], make([]E, n)...)[:len(s)] + } + return 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)] +} + +// Rotation algorithm explanation: +// +// rotate left by 2 +// start with +// 0123456789 +// split up like this +// 01 234567 89 +// swap first 2 and last 2 +// 89 234567 01 +// join first parts +// 89234567 01 +// recursively rotate first left part by 2 +// 23456789 01 +// join at the end +// 2345678901 +// +// rotate left by 8 +// start with +// 0123456789 +// split up like this +// 01 234567 89 +// swap first 2 and last 2 +// 89 234567 01 +// join last parts +// 89 23456701 +// recursively rotate second part left by 6 +// 89 01234567 +// join at the end +// 8901234567 + +// TODO: There are other rotate algorithms. +// This algorithm has the desirable property that it moves each element exactly twice. +// The triple-reverse algorithm is simpler and more cache friendly, but takes more writes. +// The follow-cycles algorithm can be 1-write but it is not very cache friendly. + +// rotateLeft rotates b left by n spaces. +// s_final[i] = s_orig[i+r], wrapping around. +func rotateLeft[E any](s []E, r int) { + for r != 0 && r != len(s) { + if r*2 <= len(s) { + swap(s[:r], s[len(s)-r:]) + s = s[:len(s)-r] + } else { + swap(s[:len(s)-r], s[r:]) + s, r = s[len(s)-r:], r*2-len(s) + } + } +} +func rotateRight[E any](s []E, r int) { + rotateLeft(s, len(s)-r) +} + +// swap swaps the contents of x and y. x and y must be equal length and disjoint. +func swap[E any](x, y []E) { + for i := 0; i < len(x); i++ { + x[i], y[i] = y[i], x[i] + } +} + +// overlaps reports whether the memory ranges a[0:len(a)] and b[0:len(b)] overlap. +func overlaps[E any](a, b []E) bool { + if len(a) == 0 || len(b) == 0 { + return false + } + elemSize := unsafe.Sizeof(a[0]) + if elemSize == 0 { + return false + } + // TODO: use a runtime/unsafe facility once one becomes available. See issue 12445. + // Also see crypto/internal/alias/alias.go:AnyOverlap + return uintptr(unsafe.Pointer(&a[0])) <= uintptr(unsafe.Pointer(&b[len(b)-1]))+(elemSize-1) && + uintptr(unsafe.Pointer(&b[0])) <= uintptr(unsafe.Pointer(&a[len(a)-1]))+(elemSize-1) +} + +// startIdx returns the index in haystack where the needle starts. +// prerequisite: the needle must be aliased entirely inside the haystack. +func startIdx[E any](haystack, needle []E) int { + p := &needle[0] + for i := range haystack { + if p == &haystack[i] { + return i + } + } + // TODO: what if the overlap is by a non-integral number of Es? + panic("needle not found") +} + +// Reverse reverses the elements of the slice in place. +func Reverse[S ~[]E, E any](s S) { + for i, j := 0, len(s)-1; i < j; i, j = i+1, j-1 { + s[i], s[j] = s[j], s[i] + } +} diff --git a/vendor/golang.org/x/exp/slices/sort.go b/vendor/golang.org/x/exp/slices/sort.go new file mode 100644 index 0000000..f58bbc7 --- /dev/null +++ b/vendor/golang.org/x/exp/slices/sort.go @@ -0,0 +1,197 @@ +// 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. + +//go:generate go run $GOROOT/src/sort/gen_sort_variants.go -exp + +package slices + +import ( + "math/bits" + + "golang.org/x/exp/constraints" +) + +// Sort sorts a slice of any ordered type in ascending order. +// When sorting floating-point numbers, NaNs are ordered before other values. +func Sort[S ~[]E, E constraints.Ordered](x S) { + n := len(x) + pdqsortOrdered(x, 0, n, bits.Len(uint(n))) +} + +// SortFunc sorts the slice x in ascending order as determined by the cmp +// function. This sort is not guaranteed to be stable. +// cmp(a, b) should return a negative number when a < b, a positive number when +// a > b and zero when a == b or when a is not comparable to b in the sense +// of the formal definition of Strict Weak Ordering. +// +// SortFunc requires that cmp is a strict weak ordering. +// See https://en.wikipedia.org/wiki/Weak_ordering#Strict_weak_orderings. +// To indicate 'uncomparable', return 0 from the function. +func SortFunc[S ~[]E, E any](x S, cmp func(a, b E) int) { + n := len(x) + pdqsortCmpFunc(x, 0, n, bits.Len(uint(n)), cmp) +} + +// SortStableFunc sorts the slice x while keeping the original order of equal +// elements, using cmp to compare elements in the same way as [SortFunc]. +func SortStableFunc[S ~[]E, E any](x S, cmp func(a, b E) int) { + stableCmpFunc(x, len(x), cmp) +} + +// IsSorted reports whether x is sorted in ascending order. +func IsSorted[S ~[]E, E constraints.Ordered](x S) bool { + for i := len(x) - 1; i > 0; i-- { + if cmpLess(x[i], x[i-1]) { + return false + } + } + return true +} + +// IsSortedFunc reports whether x is sorted in ascending order, with cmp as the +// comparison function as defined by [SortFunc]. +func IsSortedFunc[S ~[]E, E any](x S, cmp func(a, b E) int) bool { + for i := len(x) - 1; i > 0; i-- { + if cmp(x[i], x[i-1]) < 0 { + return false + } + } + return true +} + +// Min returns the minimal value in x. It panics if x is empty. +// For floating-point numbers, Min propagates NaNs (any NaN value in x +// forces the output to be NaN). +func Min[S ~[]E, E constraints.Ordered](x S) E { + if len(x) < 1 { + panic("slices.Min: empty list") + } + m := x[0] + for i := 1; i < len(x); i++ { + m = min(m, x[i]) + } + return m +} + +// MinFunc returns the minimal value in x, using cmp to compare elements. +// It panics if x is empty. If there is more than one minimal element +// according to the cmp function, MinFunc returns the first one. +func MinFunc[S ~[]E, E any](x S, cmp func(a, b E) int) E { + if len(x) < 1 { + panic("slices.MinFunc: empty list") + } + m := x[0] + for i := 1; i < len(x); i++ { + if cmp(x[i], m) < 0 { + m = x[i] + } + } + return m +} + +// Max returns the maximal value in x. It panics if x is empty. +// For floating-point E, Max propagates NaNs (any NaN value in x +// forces the output to be NaN). +func Max[S ~[]E, E constraints.Ordered](x S) E { + if len(x) < 1 { + panic("slices.Max: empty list") + } + m := x[0] + for i := 1; i < len(x); i++ { + m = max(m, x[i]) + } + return m +} + +// MaxFunc returns the maximal value in x, using cmp to compare elements. +// It panics if x is empty. If there is more than one maximal element +// according to the cmp function, MaxFunc returns the first one. +func MaxFunc[S ~[]E, E any](x S, cmp func(a, b E) int) E { + if len(x) < 1 { + panic("slices.MaxFunc: empty list") + } + m := x[0] + for i := 1; i < len(x); i++ { + if cmp(x[i], m) > 0 { + m = x[i] + } + } + return m +} + +// 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[S ~[]E, E constraints.Ordered](x S, target E) (int, bool) { + // Inlining is faster than calling BinarySearchFunc with a lambda. + n := len(x) + // Define x[-1] < target and x[n] >= target. + // Invariant: x[i-1] < target, x[j] >= target. + i, j := 0, n + for i < j { + h := int(uint(i+j) >> 1) // avoid overflow when computing h + // i ≤ h < j + if cmpLess(x[h], target) { + i = h + 1 // preserves x[i-1] < target + } else { + j = h // preserves x[j] >= target + } + } + // i == j, x[i-1] < target, and x[j] (= x[i]) >= target => answer is i. + return i, i < n && (x[i] == target || (isNaN(x[i]) && isNaN(target))) +} + +// 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 should return 0 if the slice element matches +// the target, a negative number if the slice element precedes the target, +// or a positive number if the slice element follows the target. +// cmp must implement the same ordering as the slice, such that if +// cmp(a, t) < 0 and cmp(b, t) >= 0, then a must precede b in the slice. +func BinarySearchFunc[S ~[]E, E, T any](x S, target T, cmp func(E, T) int) (int, bool) { + n := len(x) + // Define cmp(x[-1], target) < 0 and cmp(x[n], target) >= 0 . + // Invariant: cmp(x[i - 1], target) < 0, cmp(x[j], target) >= 0. + i, j := 0, n + for i < j { + h := int(uint(i+j) >> 1) // avoid overflow when computing h + // i ≤ h < j + if cmp(x[h], target) < 0 { + i = h + 1 // preserves cmp(x[i - 1], target) < 0 + } else { + j = h // preserves cmp(x[j], target) >= 0 + } + } + // i == j, cmp(x[i-1], target) < 0, and cmp(x[j], target) (= cmp(x[i], target)) >= 0 => answer is i. + return i, i < n && cmp(x[i], target) == 0 +} + +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)) +} + +// isNaN reports whether x is a NaN without requiring the math package. +// This will always return false if T is not floating-point. +func isNaN[T constraints.Ordered](x T) bool { + return x != x +} diff --git a/vendor/golang.org/x/exp/slices/zsortanyfunc.go b/vendor/golang.org/x/exp/slices/zsortanyfunc.go new file mode 100644 index 0000000..06f2c7a --- /dev/null +++ b/vendor/golang.org/x/exp/slices/zsortanyfunc.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 + +// insertionSortCmpFunc sorts data[a:b] using insertion sort. +func insertionSortCmpFunc[E any](data []E, a, b int, cmp func(a, b E) int) { + for i := a + 1; i < b; i++ { + for j := i; j > a && (cmp(data[j], data[j-1]) < 0); j-- { + data[j], data[j-1] = data[j-1], data[j] + } + } +} + +// siftDownCmpFunc implements the heap property on data[lo:hi]. +// first is an offset into the array where the root of the heap lies. +func siftDownCmpFunc[E any](data []E, lo, hi, first int, cmp func(a, b E) int) { + root := lo + for { + child := 2*root + 1 + if child >= hi { + break + } + if child+1 < hi && (cmp(data[first+child], data[first+child+1]) < 0) { + child++ + } + if !(cmp(data[first+root], data[first+child]) < 0) { + return + } + data[first+root], data[first+child] = data[first+child], data[first+root] + root = child + } +} + +func heapSortCmpFunc[E any](data []E, a, b int, cmp func(a, b E) int) { + first := a + lo := 0 + hi := b - a + + // Build heap with greatest element at top. + for i := (hi - 1) / 2; i >= 0; i-- { + siftDownCmpFunc(data, i, hi, first, cmp) + } + + // 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] + siftDownCmpFunc(data, lo, i, first, cmp) + } +} + +// pdqsortCmpFunc 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 pdqsortCmpFunc[E any](data []E, a, b, limit int, cmp func(a, b E) 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 { + insertionSortCmpFunc(data, a, b, cmp) + return + } + + // Fall back to heapsort if too many bad choices were made. + if limit == 0 { + heapSortCmpFunc(data, a, b, cmp) + return + } + + // If the last partitioning was imbalanced, we need to breaking patterns. + if !wasBalanced { + breakPatternsCmpFunc(data, a, b, cmp) + limit-- + } + + pivot, hint := choosePivotCmpFunc(data, a, b, cmp) + if hint == decreasingHint { + reverseRangeCmpFunc(data, a, b, cmp) + // 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 partialInsertionSortCmpFunc(data, a, b, cmp) { + return + } + } + + // Probably the slice contains many duplicate elements, partition the slice into + // elements equal to and elements greater than the pivot. + if a > 0 && !(cmp(data[a-1], data[pivot]) < 0) { + mid := partitionEqualCmpFunc(data, a, b, pivot, cmp) + a = mid + continue + } + + mid, alreadyPartitioned := partitionCmpFunc(data, a, b, pivot, cmp) + wasPartitioned = alreadyPartitioned + + leftLen, rightLen := mid-a, b-mid + balanceThreshold := length / 8 + if leftLen < rightLen { + wasBalanced = leftLen >= balanceThreshold + pdqsortCmpFunc(data, a, mid, limit, cmp) + a = mid + 1 + } else { + wasBalanced = rightLen >= balanceThreshold + pdqsortCmpFunc(data, mid+1, b, limit, cmp) + b = mid + } + } +} + +// partitionCmpFunc does one quicksort partition. +// Let p = data[pivot] +// Moves elements in data[a:b] around, so that data[i]

=p for inewpivot. +// On return, data[newpivot] = p +func partitionCmpFunc[E any](data []E, a, b, pivot int, cmp func(a, b E) 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 && (cmp(data[i], data[a]) < 0) { + i++ + } + for i <= j && !(cmp(data[j], data[a]) < 0) { + 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 && (cmp(data[i], data[a]) < 0) { + i++ + } + for i <= j && !(cmp(data[j], data[a]) < 0) { + 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 +} + +// partitionEqualCmpFunc 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 partitionEqualCmpFunc[E any](data []E, a, b, pivot int, cmp func(a, b E) 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 && !(cmp(data[a], data[i]) < 0) { + i++ + } + for i <= j && (cmp(data[a], data[j]) < 0) { + j-- + } + if i > j { + break + } + data[i], data[j] = data[j], data[i] + i++ + j-- + } + return i +} + +// partialInsertionSortCmpFunc partially sorts a slice, returns true if the slice is sorted at the end. +func partialInsertionSortCmpFunc[E any](data []E, a, b int, cmp func(a, b E) 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 && !(cmp(data[i], data[i-1]) < 0) { + 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 !(cmp(data[j], data[j-1]) < 0) { + 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 !(cmp(data[j], data[j-1]) < 0) { + break + } + data[j], data[j-1] = data[j-1], data[j] + } + } + } + return false +} + +// breakPatternsCmpFunc scatters some elements around in an attempt to break some patterns +// that might cause imbalanced partitions in quicksort. +func breakPatternsCmpFunc[E any](data []E, a, b int, cmp func(a, b E) 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] + } + } +} + +// choosePivotCmpFunc 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 choosePivotCmpFunc[E any](data []E, a, b int, cmp func(a, b E) 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 = medianAdjacentCmpFunc(data, i, &swaps, cmp) + j = medianAdjacentCmpFunc(data, j, &swaps, cmp) + k = medianAdjacentCmpFunc(data, k, &swaps, cmp) + } + // Find the median among i, j, k and stores it into j. + j = medianCmpFunc(data, i, j, k, &swaps, cmp) + } + + switch swaps { + case 0: + return j, increasingHint + case maxSwaps: + return j, decreasingHint + default: + return j, unknownHint + } +} + +// order2CmpFunc returns x,y where data[x] <= data[y], where x,y=a,b or x,y=b,a. +func order2CmpFunc[E any](data []E, a, b int, swaps *int, cmp func(a, b E) int) (int, int) { + if cmp(data[b], data[a]) < 0 { + *swaps++ + return b, a + } + return a, b +} + +// medianCmpFunc returns x where data[x] is the median of data[a],data[b],data[c], where x is a, b, or c. +func medianCmpFunc[E any](data []E, a, b, c int, swaps *int, cmp func(a, b E) int) int { + a, b = order2CmpFunc(data, a, b, swaps, cmp) + b, c = order2CmpFunc(data, b, c, swaps, cmp) + a, b = order2CmpFunc(data, a, b, swaps, cmp) + return b +} + +// medianAdjacentCmpFunc finds the median of data[a - 1], data[a], data[a + 1] and stores the index into a. +func medianAdjacentCmpFunc[E any](data []E, a int, swaps *int, cmp func(a, b E) int) int { + return medianCmpFunc(data, a-1, a, a+1, swaps, cmp) +} + +func reverseRangeCmpFunc[E any](data []E, a, b int, cmp func(a, b E) int) { + i := a + j := b - 1 + for i < j { + data[i], data[j] = data[j], data[i] + i++ + j-- + } +} + +func swapRangeCmpFunc[E any](data []E, a, b, n int, cmp func(a, b E) int) { + for i := 0; i < n; i++ { + data[a+i], data[b+i] = data[b+i], data[a+i] + } +} + +func stableCmpFunc[E any](data []E, n int, cmp func(a, b E) int) { + blockSize := 20 // must be > 0 + a, b := 0, blockSize + for b <= n { + insertionSortCmpFunc(data, a, b, cmp) + a = b + b += blockSize + } + insertionSortCmpFunc(data, a, n, cmp) + + for blockSize < n { + a, b = 0, 2*blockSize + for b <= n { + symMergeCmpFunc(data, a, a+blockSize, b, cmp) + a = b + b += 2 * blockSize + } + if m := a + blockSize; m < n { + symMergeCmpFunc(data, a, m, n, cmp) + } + blockSize *= 2 + } +} + +// symMergeCmpFunc 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 symMergeCmpFunc[E any](data []E, a, m, b int, cmp func(a, b E) 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 cmp(data[h], data[a]) < 0 { + 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 !(cmp(data[m], data[h]) < 0) { + 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 !(cmp(data[p-c], data[c]) < 0) { + start = c + 1 + } else { + r = c + } + } + + end := n - start + if start < m && m < end { + rotateCmpFunc(data, start, m, end, cmp) + } + if a < start && start < mid { + symMergeCmpFunc(data, a, start, mid, cmp) + } + if mid < end && end < b { + symMergeCmpFunc(data, mid, end, b, cmp) + } +} + +// rotateCmpFunc 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 rotateCmpFunc[E any](data []E, a, m, b int, cmp func(a, b E) int) { + i := m - a + j := b - m + + for i != j { + if i > j { + swapRangeCmpFunc(data, m-i, m, j, cmp) + i -= j + } else { + swapRangeCmpFunc(data, m-i, m+j-i, i, cmp) + j -= i + } + } + // i == j + swapRangeCmpFunc(data, m-i, m, i, cmp) +} diff --git a/vendor/golang.org/x/exp/slices/zsortordered.go b/vendor/golang.org/x/exp/slices/zsortordered.go new file mode 100644 index 0000000..99b47c3 --- /dev/null +++ b/vendor/golang.org/x/exp/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 && cmpLess(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 && cmpLess(data[first+child], data[first+child+1]) { + child++ + } + if !cmpLess(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 && !cmpLess(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 for inewpivot. +// 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 && cmpLess(data[i], data[a]) { + i++ + } + for i <= j && !cmpLess(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 && cmpLess(data[i], data[a]) { + i++ + } + for i <= j && !cmpLess(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 && !cmpLess(data[a], data[i]) { + i++ + } + for i <= j && cmpLess(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 && !cmpLess(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 !cmpLess(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 !cmpLess(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 cmpLess(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 cmpLess(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 !cmpLess(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 !cmpLess(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) +} diff --git a/vendor/modules.txt b/vendor/modules.txt index 619f92d..fddf56d 100644 --- a/vendor/modules.txt +++ b/vendor/modules.txt @@ -46,7 +46,7 @@ github.com/onsi/ginkgo/v2/internal/parallel_support github.com/onsi/ginkgo/v2/internal/testingtproxy github.com/onsi/ginkgo/v2/reporters github.com/onsi/ginkgo/v2/types -# github.com/onsi/gomega v1.34.0 +# github.com/onsi/gomega v1.34.1 ## explicit; go 1.20 github.com/onsi/gomega github.com/onsi/gomega/format @@ -63,6 +63,10 @@ github.com/onsi/gomega/types # github.com/satori/go.uuid v1.2.0 ## explicit github.com/satori/go.uuid +# golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56 +## explicit; go 1.20 +golang.org/x/exp/constraints +golang.org/x/exp/slices # golang.org/x/net v0.27.0 ## explicit; go 1.18 golang.org/x/net/context @@ -91,7 +95,7 @@ golang.org/x/text/internal/utf8internal golang.org/x/text/language golang.org/x/text/runes golang.org/x/text/transform -# golang.org/x/tools v0.21.1-0.20240508182429-e35e4ccd0d2d +# golang.org/x/tools v0.23.0 ## explicit; go 1.19 golang.org/x/tools/cover golang.org/x/tools/go/ast/inspector