diff --git a/go.mod b/go.mod
index 8b66f0465..87934962d 100644
--- a/go.mod
+++ b/go.mod
@@ -35,7 +35,6 @@ require (
 	github.com/summerwind/h2spec v0.0.0-20200804131034-70ac22940108
 	github.com/tcnksm/go-httpstat v0.2.1-0.20191008022543-e866bb274419
 	go.uber.org/zap v1.26.0
-	golang.org/x/exp v0.0.0-20231006140011-7918f672742d
 	golang.org/x/time v0.3.0
 	google.golang.org/api v0.126.0
 	google.golang.org/grpc v1.65.0
@@ -128,6 +127,7 @@ require (
 	go.opencensus.io v0.24.0 // indirect
 	go.uber.org/multierr v1.11.0 // indirect
 	golang.org/x/crypto v0.24.0 // indirect
+	golang.org/x/exp v0.0.0-20231006140011-7918f672742d // indirect
 	golang.org/x/net v0.26.0 // indirect
 	golang.org/x/oauth2 v0.21.0 // indirect
 	golang.org/x/sync v0.7.0 // indirect
diff --git a/pkg/operator/controller/ingress/controller.go b/pkg/operator/controller/ingress/controller.go
index f3cf3c3f5..9e67518f2 100644
--- a/pkg/operator/controller/ingress/controller.go
+++ b/pkg/operator/controller/ingress/controller.go
@@ -3,6 +3,7 @@ package ingress
 import (
 	"context"
 	"fmt"
+	"net"
 	"regexp"
 	"regexp/syntax"
 	"strings"
@@ -475,10 +476,17 @@ func setDefaultPublishingStrategy(ic *operatorv1.IngressController, platformStat
 		}
 
 		// When the platform's default DNS solution cannot be used, set the DNSManagementPolicy
-		// accordingly. This feature is currently being implemented first for GCP. Will be
-		// extended to AWS and Azure platforms later.
-		if platformStatus.Type == configv1.GCPPlatformType && platformStatus.GCP != nil && platformStatus.GCP.CloudLoadBalancerConfig != nil {
-			if platformStatus.GCP.CloudLoadBalancerConfig.DNSType == configv1.ClusterHostedDNSType {
+		// accordingly. This feature is currently being implemented for GCP and AWS. Will be
+		// extended to the Azure platform later.
+		switch platformStatus.Type {
+		case configv1.AWSPlatformType:
+			if platformStatus.AWS != nil && platformStatus.AWS.CloudLoadBalancerConfig != nil &&
+				platformStatus.AWS.CloudLoadBalancerConfig.DNSType == configv1.ClusterHostedDNSType {
+				effectiveStrategy.LoadBalancer.DNSManagementPolicy = operatorv1.UnmanagedLoadBalancerDNS
+			}
+		case configv1.GCPPlatformType:
+			if platformStatus.GCP != nil && platformStatus.GCP.CloudLoadBalancerConfig != nil &&
+				platformStatus.GCP.CloudLoadBalancerConfig.DNSType == configv1.ClusterHostedDNSType {
 				effectiveStrategy.LoadBalancer.DNSManagementPolicy = operatorv1.UnmanagedLoadBalancerDNS
 			}
 		}
@@ -1272,18 +1280,51 @@ func (r *reconciler) allRouterPodsDeleted(ingress *operatorv1.IngressController)
 	return true, nil
 }
 
-// computeUpdatedInfraFromService updates GCP's PlatformStatus with Ingress LB IPs when the DNSType is `ClusterHosted`.
+// computeUpdatedInfraFromService updates PlatformStatus for GCP and AWS with Ingress LB IPs when the DNSType is `ClusterHosted`.
 func computeUpdatedInfraFromService(service *corev1.Service, infraConfig *configv1.Infrastructure) (bool, error) {
 	platformStatus := infraConfig.Status.PlatformStatus
 	if platformStatus == nil {
 		return false, fmt.Errorf("invalid PlatformStatus within Infrastructure config")
 	}
+	ipCmpOpts := []cmp.Option{
+		cmpopts.EquateEmpty(),
+		cmpopts.SortSlices(func(a, b configv1.IP) bool {
+			return a < b
+		}),
+	}
+	// The cluster has to run its own CoreDNS pod for DNS. Update Infra CR with the Ingress LB IPs.
+	// These values are used to configure the in-cluster DNS to provide resolution for *.apps.
 	switch platformStatus.Type {
+	case configv1.AWSPlatformType:
+		// On the AWS platform, only the Ingress LB's Hostname is available.
+		// Resolve this Hostname to its IPs before adding to the Infra CR.
+		if platformStatus.AWS != nil && platformStatus.AWS.CloudLoadBalancerConfig != nil && platformStatus.AWS.CloudLoadBalancerConfig.DNSType == configv1.ClusterHostedDNSType {
+			if platformStatus.AWS.CloudLoadBalancerConfig.ClusterHosted == nil {
+				platformStatus.AWS.CloudLoadBalancerConfig.ClusterHosted = &configv1.CloudLoadBalancerIPs{}
+			}
+			ingresses := service.Status.LoadBalancer.Ingress
+			ingressLBIPs := []configv1.IP{}
+			for _, ingress := range ingresses {
+				// Resolving the LoadBalancer's IPs is not ideal because they may change, but currently there is no better alternative.
+				ingressIPs, err := net.LookupIP(ingress.Hostname)
+				if err != nil {
+					return false, fmt.Errorf("failed to lookup IP addresses corresponding to AWS LB hostname: %w", err)
+				}
+
+				if len(ingressIPs) > 0 {
+					for _, ingressIP := range ingressIPs {
+						ingressLBIPs = append(ingressLBIPs, configv1.IP(ingressIP.String()))
+					}
+				}
+			}
+			if !cmp.Equal(platformStatus.AWS.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs, ingressLBIPs, ipCmpOpts...) {
+				platformStatus.AWS.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs = ingressLBIPs
+				return true, nil
+			}
+		}
+		return false, nil
 	case configv1.GCPPlatformType:
 		if platformStatus.GCP != nil && platformStatus.GCP.CloudLoadBalancerConfig != nil && platformStatus.GCP.CloudLoadBalancerConfig.DNSType == configv1.ClusterHostedDNSType {
-			// The cluster has to run its own CoreDNS pod for DNS. Update Infra CR
-			// with the Ingress LB IPs. These values are used to configure the
-			// in-cluster DNS to provide resolution for *.apps.
 			if platformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted == nil {
 				platformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted = &configv1.CloudLoadBalancerIPs{}
 			}
@@ -1294,12 +1335,6 @@ func computeUpdatedInfraFromService(service *corev1.Service, infraConfig *config
 					ingressLBIPs = append(ingressLBIPs, configv1.IP(ingress.IP))
 				}
 			}
-			ipCmpOpts := []cmp.Option{
-				cmpopts.EquateEmpty(),
-				cmpopts.SortSlices(func(a, b configv1.IP) bool {
-					return a < b
-				}),
-			}
 			if !cmp.Equal(platformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs, ingressLBIPs, ipCmpOpts...) {
 				platformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs = ingressLBIPs
 				return true, nil
diff --git a/pkg/operator/controller/ingress/controller_test.go b/pkg/operator/controller/ingress/controller_test.go
index 530de3071..de931a014 100644
--- a/pkg/operator/controller/ingress/controller_test.go
+++ b/pkg/operator/controller/ingress/controller_test.go
@@ -6,7 +6,6 @@ import (
 	"time"
 
 	"github.com/google/go-cmp/cmp"
-	"golang.org/x/exp/slices"
 
 	configv1 "github.com/openshift/api/config/v1"
 	operatorv1 "github.com/openshift/api/operator/v1"
@@ -215,6 +214,29 @@ func TestSetDefaultPublishingStrategySetsPlatformDefaults(t *testing.T) {
 			}
 		}
 
+		makeDefaultAWSPlatformStatus = func(platform configv1.PlatformType) *configv1.PlatformStatus {
+			return &configv1.PlatformStatus{
+				Type: platform,
+				AWS: &configv1.AWSPlatformStatus{
+					CloudLoadBalancerConfig: &configv1.CloudLoadBalancerConfig{
+						DNSType: configv1.PlatformDefaultDNSType,
+					},
+				},
+			}
+		}
+
+		makeBYODNSAWSPlatformStatus = func(platform configv1.PlatformType) *configv1.PlatformStatus {
+			return &configv1.PlatformStatus{
+				Type: platform,
+				AWS: &configv1.AWSPlatformStatus{
+					CloudLoadBalancerConfig: &configv1.CloudLoadBalancerConfig{
+						DNSType:       configv1.ClusterHostedDNSType,
+						ClusterHosted: &configv1.CloudLoadBalancerIPs{},
+					},
+				},
+			}
+		}
+
 		ingressConfigWithDefaultClassicLB = &configv1.Ingress{
 			Spec: configv1.IngressSpec{
 				LoadBalancer: configv1.LoadBalancer{
@@ -292,6 +314,18 @@ func TestSetDefaultPublishingStrategySetsPlatformDefaults(t *testing.T) {
 			expectedIC:              ingressControllerWithHostNetwork,
 			domainMatchesBaseDomain: true,
 		},
+		{
+			name:                    "AWS",
+			platformStatus:          makeDefaultAWSPlatformStatus(configv1.AWSPlatformType),
+			expectedIC:              ingressControllerWithLoadBalancer,
+			domainMatchesBaseDomain: true,
+		},
+		{
+			name:                    "AWS With BYO DNS",
+			platformStatus:          makeBYODNSAWSPlatformStatus(configv1.AWSPlatformType),
+			expectedIC:              ingressControllerWithLoadBalancerUnmanagedDNS,
+			domainMatchesBaseDomain: true,
+		},
 		{
 			name:                    "GCP",
 			platformStatus:          makeDefaultGCPPlatformStatus(configv1.GCPPlatformType),
@@ -1582,9 +1616,34 @@ func Test_IsProxyProtocolNeeded(t *testing.T) {
 
 func Test_computeUpdatedInfraFromService(t *testing.T) {
 	var (
+		IngressLBIP = configv1.IP("196.78.125.4")
 		awsPlatform = configv1.PlatformStatus{
 			Type: configv1.AWSPlatformType,
 		}
+		awsPlatformWithDNSType = configv1.PlatformStatus{
+			Type: configv1.AWSPlatformType,
+			AWS: &configv1.AWSPlatformStatus{
+				CloudLoadBalancerConfig: &configv1.CloudLoadBalancerConfig{
+					DNSType: configv1.ClusterHostedDNSType,
+				},
+			},
+		}
+		awsPlatformWithLBIP = configv1.PlatformStatus{
+			Type: configv1.AWSPlatformType,
+			AWS: &configv1.AWSPlatformStatus{
+				CloudLoadBalancerConfig: &configv1.CloudLoadBalancerConfig{
+					DNSType: configv1.ClusterHostedDNSType,
+					ClusterHosted: &configv1.CloudLoadBalancerIPs{
+						IngressLoadBalancerIPs: []configv1.IP{
+							IngressLBIP,
+						},
+					},
+				},
+			},
+		}
+		azurePlatform = configv1.PlatformStatus{
+			Type: configv1.AzurePlatformType,
+		}
 		gcpPlatform = configv1.PlatformStatus{
 			Type: configv1.GCPPlatformType,
 		}
@@ -1596,10 +1655,6 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 				},
 			},
 		}
-		ingresses = []corev1.LoadBalancerIngress{
-			{IP: "196.78.125.4"},
-		}
-		IngressLBIP         = configv1.IP("196.78.125.4")
 		gcpPlatformWithLBIP = configv1.PlatformStatus{
 			Type: configv1.GCPPlatformType,
 			GCP: &configv1.GCPPlatformStatus{
@@ -1613,16 +1668,26 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 				},
 			},
 		}
+		ingresses = []corev1.LoadBalancerIngress{
+			{IP: "196.78.125.4"},
+		}
 		ingressesWithMultipleIPs = []corev1.LoadBalancerIngress{
 			{IP: "196.78.125.4"},
 			{IP: "10.10.10.4"},
 		}
+		// Hostname is intentionally assigned an IP address for unit testing purposes since net.LookupIP simply returns the provided IP.
+		awsIngresses = []corev1.LoadBalancerIngress{
+			{Hostname: "196.78.125.4"},
+		}
+		awsUpdatedIngresses = []corev1.LoadBalancerIngress{
+			{Hostname: "10.10.10.4"},
+		}
 	)
 	testCases := []struct {
 		description   string
 		platform      *configv1.PlatformStatus
 		ingresses     []corev1.LoadBalancerIngress
-		expectedInfra configv1.Infrastructure
+		expectedLBIPs []configv1.IP
 		expectUpdated bool
 		expectError   bool
 	}{
@@ -1635,7 +1700,7 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 		},
 		{
 			description:   "unsupported platform should not cause an error",
-			platform:      &awsPlatform,
+			platform:      &azurePlatform,
 			ingresses:     []corev1.LoadBalancerIngress{},
 			expectUpdated: false,
 			expectError:   false,
@@ -1658,6 +1723,7 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 			description:   "gcp platform with DNSType and no LB IP in infra config, service has 1 IP",
 			platform:      &gcpPlatformWithDNSType,
 			ingresses:     ingresses,
+			expectedLBIPs: []configv1.IP{IngressLBIP},
 			expectUpdated: true,
 			expectError:   false,
 		},
@@ -1665,6 +1731,7 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 			description:   "gcp platform with no change to LB IPs",
 			platform:      &gcpPlatformWithLBIP,
 			ingresses:     ingresses,
+			expectedLBIPs: []configv1.IP{IngressLBIP},
 			expectUpdated: false,
 			expectError:   false,
 		},
@@ -1672,6 +1739,45 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 			description:   "gcp platform with DNSType and LB IP",
 			platform:      &gcpPlatformWithLBIP,
 			ingresses:     ingressesWithMultipleIPs,
+			expectedLBIPs: []configv1.IP{IngressLBIP, configv1.IP("10.10.10.4")},
+			expectUpdated: true,
+			expectError:   false,
+		},
+		{
+			description:   "aws platform without DNSType set",
+			platform:      &awsPlatform,
+			ingresses:     []corev1.LoadBalancerIngress{},
+			expectUpdated: false,
+			expectError:   false,
+		},
+		{
+			description:   "aws platform with DNSType and no LB IP",
+			platform:      &awsPlatformWithDNSType,
+			ingresses:     []corev1.LoadBalancerIngress{},
+			expectUpdated: false,
+			expectError:   false,
+		},
+		{
+			description:   "aws platform with DNSType and no LB IP in infra config, service has 1 IP",
+			platform:      &awsPlatformWithDNSType,
+			ingresses:     awsIngresses,
+			expectedLBIPs: []configv1.IP{IngressLBIP},
+			expectUpdated: true,
+			expectError:   false,
+		},
+		{
+			description:   "aws platform with no change to LB IPs",
+			platform:      &awsPlatformWithLBIP,
+			ingresses:     awsIngresses,
+			expectedLBIPs: []configv1.IP{IngressLBIP},
+			expectUpdated: false,
+			expectError:   false,
+		},
+		{
+			description:   "aws platform with 1 LB IP with change in hostname",
+			platform:      &awsPlatformWithLBIP,
+			ingresses:     awsUpdatedIngresses,
+			expectedLBIPs: []configv1.IP{configv1.IP("10.10.10.4")},
 			expectUpdated: true,
 			expectError:   false,
 		},
@@ -1698,12 +1804,14 @@ func Test_computeUpdatedInfraFromService(t *testing.T) {
 				t.Errorf("expected %t, got %t", tc.expectUpdated, updated)
 			}
 			if updated {
-				ingressLBs := service.Status.LoadBalancer.Ingress
-				for _, ingress := range ingressLBs {
-					if len(ingress.IP) > 0 {
-						if !slices.Contains(infraConfig.Status.PlatformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs, configv1.IP(ingress.IP)) {
-							t.Errorf("expected Infra CR to contain %s", ingress.IP)
-						}
+				switch tc.platform.Type {
+				case configv1.AWSPlatformType:
+					if !reflect.DeepEqual(infraConfig.Status.PlatformStatus.AWS.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs, tc.expectedLBIPs) {
+						t.Errorf("expected Infra CR to contain %s but found %s", tc.expectedLBIPs, infraConfig.Status.PlatformStatus.AWS.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs)
+					}
+				case configv1.GCPPlatformType:
+					if !reflect.DeepEqual(infraConfig.Status.PlatformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs, tc.expectedLBIPs) {
+						t.Errorf("expected Infra CR to contain %s but found %s", tc.expectedLBIPs, infraConfig.Status.PlatformStatus.GCP.CloudLoadBalancerConfig.ClusterHosted.IngressLoadBalancerIPs)
 					}
 				}
 			}
diff --git a/vendor/golang.org/x/exp/constraints/constraints.go b/vendor/golang.org/x/exp/constraints/constraints.go
deleted file mode 100644
index 2c033dff4..000000000
--- a/vendor/golang.org/x/exp/constraints/constraints.go
+++ /dev/null
@@ -1,50 +0,0 @@
-// 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
deleted file mode 100644
index fbf1934a0..000000000
--- a/vendor/golang.org/x/exp/slices/cmp.go
+++ /dev/null
@@ -1,44 +0,0 @@
-// 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
deleted file mode 100644
index 5e8158bba..000000000
--- a/vendor/golang.org/x/exp/slices/slices.go
+++ /dev/null
@@ -1,499 +0,0 @@
-// 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
-}
-
-// 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 is O(len(s)-j), 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 might not modify the elements s[len(s)-(j-i):len(s)]. If those
-// elements contain pointers you might consider zeroing those elements so that
-// objects they reference can be garbage collected.
-func Delete[S ~[]E, E any](s S, i, j int) S {
-	_ = s[i:j] // bounds check
-
-	return append(s[:i], s[j:]...)
-}
-
-// DeleteFunc removes any elements from s for which del returns true,
-// returning the modified slice.
-// When DeleteFunc removes m elements, it might not modify the elements
-// s[len(s)-m:len(s)]. If those elements contain pointers you might consider
-// zeroing those elements so that objects they reference can be garbage
-// collected.
-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++
-		}
-	}
-	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.
-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:])
-		}
-		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.
-// When Compact discards m elements in total, it might not modify the elements
-// s[len(s)-m:len(s)]. If those elements contain pointers you might consider
-// zeroing those elements so that objects they reference can be garbage collected.
-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++
-		}
-	}
-	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.
-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++
-		}
-	}
-	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
deleted file mode 100644
index b67897f76..000000000
--- a/vendor/golang.org/x/exp/slices/sort.go
+++ /dev/null
@@ -1,195 +0,0 @@
-// 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.
-//
-// SortFunc requires that cmp is a strict weak ordering.
-// See https://en.wikipedia.org/wiki/Weak_ordering#Strict_weak_orderings.
-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
deleted file mode 100644
index 06f2c7a24..000000000
--- a/vendor/golang.org/x/exp/slices/zsortanyfunc.go
+++ /dev/null
@@ -1,479 +0,0 @@
-// 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 and data[j]>=p for i<newpivot and j>newpivot.
-// 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
deleted file mode 100644
index 99b47c398..000000000
--- a/vendor/golang.org/x/exp/slices/zsortordered.go
+++ /dev/null
@@ -1,481 +0,0 @@
-// 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 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 && 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 77b16ec66..5af154c6c 100644
--- a/vendor/modules.txt
+++ b/vendor/modules.txt
@@ -653,9 +653,7 @@ golang.org/x/crypto/pkcs12/internal/rc2
 golang.org/x/crypto/sha3
 # golang.org/x/exp v0.0.0-20231006140011-7918f672742d
 ## explicit; go 1.20
-golang.org/x/exp/constraints
 golang.org/x/exp/maps
-golang.org/x/exp/slices
 # golang.org/x/net v0.26.0
 ## explicit; go 1.18
 golang.org/x/net/bpf