[chore] update dependencies (#4188)

Update dependencies:
- github.com/gin-gonic/gin v1.10.0 -> v1.10.1
- github.com/gin-contrib/sessions v1.10.3 -> v1.10.4
- github.com/jackc/pgx/v5 v5.7.4 -> v5.7.5
- github.com/minio/minio-go/v7 v7.0.91 -> v7.0.92
- github.com/pquerna/otp v1.4.0 -> v1.5.0
- github.com/tdewolff/minify/v2 v2.23.5 -> v2.23.8
- github.com/yuin/goldmark v1.7.11 -> v1.7.12
- go.opentelemetry.io/otel{,/*} v1.35.0 -> v1.36.0
- modernc.org/sqlite v1.37.0 -> v1.37.1

Reviewed-on: https://codeberg.org/superseriousbusiness/gotosocial/pulls/4188
Reviewed-by: Daenney <daenney@noreply.codeberg.org>
Co-authored-by: kim <grufwub@gmail.com>
Co-committed-by: kim <grufwub@gmail.com>

vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/aggregate.go

@@ -121,7 +121,10 @@ func (b Builder[N]) Sum(monotonic bool) (Measure[N], ComputeAggregation) {
 
 // ExplicitBucketHistogram returns a histogram aggregate function input and
 // output.
-func (b Builder[N]) ExplicitBucketHistogram(boundaries []float64, noMinMax, noSum bool) (Measure[N], ComputeAggregation) {
+func (b Builder[N]) ExplicitBucketHistogram(
+	boundaries []float64,
+	noMinMax, noSum bool,
+) (Measure[N], ComputeAggregation) {
 	h := newHistogram[N](boundaries, noMinMax, noSum, b.AggregationLimit, b.resFunc())
 	switch b.Temporality {
 	case metricdata.DeltaTemporality:
@@ -133,7 +136,10 @@ func (b Builder[N]) ExplicitBucketHistogram(boundaries []float64, noMinMax, noSu
 
 // ExponentialBucketHistogram returns a histogram aggregate function input and
 // output.
-func (b Builder[N]) ExponentialBucketHistogram(maxSize, maxScale int32, noMinMax, noSum bool) (Measure[N], ComputeAggregation) {
+func (b Builder[N]) ExponentialBucketHistogram(
+	maxSize, maxScale int32,
+	noMinMax, noSum bool,
+) (Measure[N], ComputeAggregation) {
 	h := newExponentialHistogram[N](maxSize, maxScale, noMinMax, noSum, b.AggregationLimit, b.resFunc())
 	switch b.Temporality {
 	case metricdata.DeltaTemporality:

vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go

@@ -48,7 +48,12 @@ type expoHistogramDataPoint[N int64 | float64] struct {
 	zeroCount  uint64
 }
 
-func newExpoHistogramDataPoint[N int64 | float64](attrs attribute.Set, maxSize int, maxScale int32, noMinMax, noSum bool) *expoHistogramDataPoint[N] { // nolint:revive // we need this control flag
+func newExpoHistogramDataPoint[N int64 | float64](
+	attrs attribute.Set,
+	maxSize int,
+	maxScale int32,
+	noMinMax, noSum bool,
+) *expoHistogramDataPoint[N] { // nolint:revive // we need this control flag
 	f := math.MaxFloat64
 	ma := N(f) // if N is int64, max will overflow to -9223372036854775808
 	mi := N(-f)
@@ -283,7 +288,12 @@ func (b *expoBuckets) downscale(delta int32) {
 // newExponentialHistogram returns an Aggregator that summarizes a set of
 // measurements as an exponential histogram. Each histogram is scoped by attributes
 // and the aggregation cycle the measurements were made in.
-func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *expoHistogram[N] {
+func newExponentialHistogram[N int64 | float64](
+	maxSize, maxScale int32,
+	noMinMax, noSum bool,
+	limit int,
+	r func(attribute.Set) FilteredExemplarReservoir[N],
+) *expoHistogram[N] {
 	return &expoHistogram[N]{
 		noSum:    noSum,
 		noMinMax: noMinMax,
@@ -314,7 +324,12 @@ type expoHistogram[N int64 | float64] struct {
 	start time.Time
 }
 
-func (e *expoHistogram[N]) measure(ctx context.Context, value N, fltrAttr attribute.Set, droppedAttr []attribute.KeyValue) {
+func (e *expoHistogram[N]) measure(
+	ctx context.Context,
+	value N,
+	fltrAttr attribute.Set,
+	droppedAttr []attribute.KeyValue,
+) {
 	// Ignore NaN and infinity.
 	if math.IsInf(float64(value), 0) || math.IsNaN(float64(value)) {
 		return
@@ -360,11 +375,19 @@ func (e *expoHistogram[N]) delta(dest *metricdata.Aggregation) int {
 		hDPts[i].ZeroThreshold = 0.0
 
 		hDPts[i].PositiveBucket.Offset = val.posBuckets.startBin
-		hDPts[i].PositiveBucket.Counts = reset(hDPts[i].PositiveBucket.Counts, len(val.posBuckets.counts), len(val.posBuckets.counts))
+		hDPts[i].PositiveBucket.Counts = reset(
+			hDPts[i].PositiveBucket.Counts,
+			len(val.posBuckets.counts),
+			len(val.posBuckets.counts),
+		)
 		copy(hDPts[i].PositiveBucket.Counts, val.posBuckets.counts)
 
 		hDPts[i].NegativeBucket.Offset = val.negBuckets.startBin
-		hDPts[i].NegativeBucket.Counts = reset(hDPts[i].NegativeBucket.Counts, len(val.negBuckets.counts), len(val.negBuckets.counts))
+		hDPts[i].NegativeBucket.Counts = reset(
+			hDPts[i].NegativeBucket.Counts,
+			len(val.negBuckets.counts),
+			len(val.negBuckets.counts),
+		)
 		copy(hDPts[i].NegativeBucket.Counts, val.negBuckets.counts)
 
 		if !e.noSum {
@@ -413,11 +436,19 @@ func (e *expoHistogram[N]) cumulative(dest *metricdata.Aggregation) int {
 		hDPts[i].ZeroThreshold = 0.0
 
 		hDPts[i].PositiveBucket.Offset = val.posBuckets.startBin
-		hDPts[i].PositiveBucket.Counts = reset(hDPts[i].PositiveBucket.Counts, len(val.posBuckets.counts), len(val.posBuckets.counts))
+		hDPts[i].PositiveBucket.Counts = reset(
+			hDPts[i].PositiveBucket.Counts,
+			len(val.posBuckets.counts),
+			len(val.posBuckets.counts),
+		)
 		copy(hDPts[i].PositiveBucket.Counts, val.posBuckets.counts)
 
 		hDPts[i].NegativeBucket.Offset = val.negBuckets.startBin
-		hDPts[i].NegativeBucket.Counts = reset(hDPts[i].NegativeBucket.Counts, len(val.negBuckets.counts), len(val.negBuckets.counts))
+		hDPts[i].NegativeBucket.Counts = reset(
+			hDPts[i].NegativeBucket.Counts,
+			len(val.negBuckets.counts),
+			len(val.negBuckets.counts),
+		)
 		copy(hDPts[i].NegativeBucket.Counts, val.negBuckets.counts)
 
 		if !e.noSum {

vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/filtered_reservoir.go

@@ -33,7 +33,10 @@ type filteredExemplarReservoir[N int64 | float64] struct {
 
 // NewFilteredExemplarReservoir creates a [FilteredExemplarReservoir] which only offers values
 // that are allowed by the filter.
-func NewFilteredExemplarReservoir[N int64 | float64](f exemplar.Filter, r exemplar.Reservoir) FilteredExemplarReservoir[N] {
+func NewFilteredExemplarReservoir[N int64 | float64](
+	f exemplar.Filter,
+	r exemplar.Reservoir,
+) FilteredExemplarReservoir[N] {
 	return &filteredExemplarReservoir[N]{
 		filter:    f,
 		reservoir: r,

vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/histogram.go

@@ -53,7 +53,12 @@ type histValues[N int64 | float64] struct {
 	valuesMu sync.Mutex
 }
 
-func newHistValues[N int64 | float64](bounds []float64, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *histValues[N] {
+func newHistValues[N int64 | float64](
+	bounds []float64,
+	noSum bool,
+	limit int,
+	r func(attribute.Set) FilteredExemplarReservoir[N],
+) *histValues[N] {
 	// The responsibility of keeping all buckets correctly associated with the
 	// passed boundaries is ultimately this type's responsibility. Make a copy
 	// here so we can always guarantee this. Or, in the case of failure, have
@@ -71,7 +76,12 @@ func newHistValues[N int64 | float64](bounds []float64, noSum bool, limit int, r
 
 // Aggregate records the measurement value, scoped by attr, and aggregates it
 // into a histogram.
-func (s *histValues[N]) measure(ctx context.Context, value N, fltrAttr attribute.Set, droppedAttr []attribute.KeyValue) {
+func (s *histValues[N]) measure(
+	ctx context.Context,
+	value N,
+	fltrAttr attribute.Set,
+	droppedAttr []attribute.KeyValue,
+) {
 	// This search will return an index in the range [0, len(s.bounds)], where
 	// it will return len(s.bounds) if value is greater than the last element
 	// of s.bounds. This aligns with the buckets in that the length of buckets
@@ -108,7 +118,12 @@ func (s *histValues[N]) measure(ctx context.Context, value N, fltrAttr attribute
 
 // newHistogram returns an Aggregator that summarizes a set of measurements as
 // an histogram.
-func newHistogram[N int64 | float64](boundaries []float64, noMinMax, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *histogram[N] {
+func newHistogram[N int64 | float64](
+	boundaries []float64,
+	noMinMax, noSum bool,
+	limit int,
+	r func(attribute.Set) FilteredExemplarReservoir[N],
+) *histogram[N] {
 	return &histogram[N]{
 		histValues: newHistValues[N](boundaries, noSum, limit, r),
 		noMinMax:   noMinMax,

vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/lastvalue.go

@@ -114,7 +114,10 @@ func (s *lastValue[N]) copyDpts(dest *[]metricdata.DataPoint[N], t time.Time) in
 
 // newPrecomputedLastValue returns an aggregator that summarizes a set of
 // observations as the last one made.
-func newPrecomputedLastValue[N int64 | float64](limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *precomputedLastValue[N] {
+func newPrecomputedLastValue[N int64 | float64](
+	limit int,
+	r func(attribute.Set) FilteredExemplarReservoir[N],
+) *precomputedLastValue[N] {
 	return &precomputedLastValue[N]{lastValue: newLastValue[N](limit, r)}
 }
 

vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/sum.go

@@ -143,7 +143,11 @@ func (s *sum[N]) cumulative(dest *metricdata.Aggregation) int {
 // newPrecomputedSum returns an aggregator that summarizes a set of
 // observations as their arithmetic sum. Each sum is scoped by attributes and
 // the aggregation cycle the measurements were made in.
-func newPrecomputedSum[N int64 | float64](monotonic bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *precomputedSum[N] {
+func newPrecomputedSum[N int64 | float64](
+	monotonic bool,
+	limit int,
+	r func(attribute.Set) FilteredExemplarReservoir[N],
+) *precomputedSum[N] {
 	return &precomputedSum[N]{
 		valueMap:  newValueMap[N](limit, r),
 		monotonic: monotonic,

vendor/go.opentelemetry.io/otel/sdk/metric/internal/reuse_slice.go

@@ -1,6 +1,7 @@
 // Copyright The OpenTelemetry Authors
 // SPDX-License-Identifier: Apache-2.0
 
+// Package internal provides internal functionality for the metric package.
 package internal // import "go.opentelemetry.io/otel/sdk/metric/internal"
 
 // ReuseSlice returns a zeroed view of slice if its capacity is greater than or