chore: sort.Slice → slices.SortFunc

cmd/cmd_benchmark.go

@@ -3,6 +3,7 @@
 package cmd
 
 import (
+	"cmp"
 	"context"
 	"encoding/json"
 	"errors"
@@ -11,7 +12,7 @@ import (
 	"math"
 	"os"
 	"runtime"
-	"sort"
+	"slices"
 	"time"
 
 	"forge.lthn.ai/core/cli/pkg/cli"
@@ -465,6 +466,6 @@ func loadBenchmarkPrompts() ([]benchPrompt, error) {
 		prompts = append(prompts, benchPrompt{id: id, prompt: r.Prompt})
 	}
 
-	sort.Slice(prompts, func(i, j int) bool { return prompts[i].id < prompts[j].id })
+	slices.SortFunc(prompts, func(a, b benchPrompt) int { return cmp.Compare(a.id, b.id) })
 	return prompts, nil
 }

gguf.go

@@ -1,6 +1,7 @@
 package ml
 
 import (
+	"cmp"
 	"encoding/binary"
 	"encoding/json"
 	"fmt"
@@ -8,7 +9,7 @@ import (
 	"math"
 	"os"
 	"regexp"
-	"sort"
+	"slices"
 	"strconv"
 	"strings"
 )
@@ -174,8 +175,8 @@ func ConvertMLXtoGGUFLoRA(safetensorsPath, configPath, outputPath, architecture
 		}
 	}
 
-	sort.Slice(ggufTensors, func(i, j int) bool {
-		return ggufTensors[i].name < ggufTensors[j].name
+	slices.SortFunc(ggufTensors, func(a, b ggufTensor) int {
+		return cmp.Compare(a.name, b.name)
 	})
 
 	metadata := []ggufMetadata{

status.go

@@ -1,9 +1,10 @@
 package ml
 
 import (
+	"cmp"
 	"fmt"
 	"io"
-	"sort"
+	"slices"
 )
 
 // trainingRow holds deduplicated training status + loss for a single model.
@@ -146,8 +147,8 @@ func dedupeTraining(statusRows, lossRows []map[string]any) []trainingRow {
 		rows = append(rows, tr)
 	}
 
-	sort.Slice(rows, func(i, j int) bool {
-		return rows[i].model < rows[j].model
+	slices.SortFunc(rows, func(a, b trainingRow) int {
+		return cmp.Compare(a.model, b.model)
 	})
 
 	return rows
@@ -172,8 +173,8 @@ func dedupeGeneration(rows []map[string]any) []genRow {
 		})
 	}
 
-	sort.Slice(result, func(i, j int) bool {
-		return result[i].worker < result[j].worker
+	slices.SortFunc(result, func(a, b genRow) int {
+		return cmp.Compare(a.worker, b.worker)
 	})
 
 	return result