feat: add ReduceConcurrent

docs/api/packages/slice.md

@@ -70,6 +70,7 @@ import (
 -   [Merge](#Merge)
 -   [Reverse](#Reverse)
 -   [Reduce<sup>deprecated</sup>](#Reduce)
+-   [ReduceConcurrent](#ReduceConcurrent)
 -   [ReduceBy](#ReduceBy)
 -   [ReduceRight](#ReduceRight)
 -   [Replace](#Replace)
@@ -1583,10 +1584,10 @@ func main() {
         return n * n 
     }, 4)
 
-	fmt.Println(result)
+    fmt.Println(result)
 
-	// Output:
-	// [1 4 9 16 25 36]
+    // Output:
+    // [1 4 9 16 25 36]
 }
 ```
 
@@ -1759,6 +1760,38 @@ func main() {
 }
 ```
 
+### <span id="ReduceConcurrent">ReduceConcurrent</span>
+
+<p>对切片元素执行并发reduce操作。</p>
+
+<b>函数签名:</b>
+
+```go
+func ReduceConcurrent[T any](slice []T, initial T, reducer func(index int, item T, agg T) T, numThreads int) T
+```
+
+<b>示例:<span style="float:right;display:inline-block;">[运行]()</span></b>
+
+```go
+import (
+    "fmt"
+    "github.com/duke-git/lancet/v2/slice"
+)
+
+func main() {
+    nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
+    
+    result := slice.ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+        return agg + item
+    }, 1)
+
+    fmt.Println(result)
+
+    // Output:
+    // 55
+}
+```
+
 ### <span id="ReduceBy">ReduceBy</span>
 
 <p>对切片元素执行reduce操作。</p>

docs/en/api/packages/slice.md

@@ -70,6 +70,7 @@ import (
 -   [Merge](#Merge)
 -   [Reverse](#Reverse)
 -   [Reduce<sup>deprecated</sup>](#Reduce)
+-   [ReduceConcurrent](#ReduceConcurrent)
 -   [ReduceBy](#ReduceBy)
 -   [ReduceRight](#ReduceRight)
 -   [Replace](#Replace)
@@ -1754,6 +1755,39 @@ func main() {
 }
 ```
 
+### <span id="ReduceConcurrent">ReduceConcurrent</span>
+
+<p>Reduces the slice to a single value by applying the reducer function to each item in the slice concurrently.</p>
+
+<b>Signature:</b>
+
+```go
+func ReduceConcurrent[T any](slice []T, initial T, reducer func(index int, item T, agg T) T, numThreads int) T
+```
+
+<b>Example:<span style="float:right;display:inline-block;">[运行]()</span></b>
+
+```go
+import (
+    "fmt"
+    "github.com/duke-git/lancet/v2/slice"
+)
+
+func main() {
+    nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
+    
+    result := slice.ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+        return agg + item
+    }, 1)
+
+    fmt.Println(result)
+
+    // Output:
+    // 55
+}
+```
+
+
 ### <span id="ReduceBy">ReduceBy</span>
 
 <p>Produces a value from slice by accumulating the result of each element as passed through the reducer function.</p>

slice/slice_concurrent.go

@@ -76,6 +76,50 @@ func MapConcurrent[T any, U any](slice []T, iteratee func(index int, item T) U,
 	return result
 }
 
+// ReduceConcurrent reduces the slice to a single value by applying the reducer function to each item in the slice concurrently.
+// Play: todo
+func ReduceConcurrent[T any](slice []T, initial T, reducer func(index int, item T, agg T) T, numThreads int) T {
+	if numThreads <= 0 {
+		numThreads = 1
+	}
+
+	var wg sync.WaitGroup
+	var mu sync.Mutex
+
+	sliceLen := len(slice)
+	chunkSize := (sliceLen + numThreads - 1) / numThreads
+	results := make([]T, numThreads)
+
+	for i := 0; i < numThreads; i++ {
+		start := i * chunkSize
+		end := start + chunkSize
+		if end > sliceLen {
+			end = sliceLen
+		}
+
+		wg.Add(1)
+		go func(i, start, end int) {
+			defer wg.Done()
+			tempResult := initial
+			for j := start; j < end; j++ {
+				tempResult = reducer(j, slice[j], tempResult)
+			}
+			mu.Lock()
+			results[i] = tempResult
+			mu.Unlock()
+		}(i, start, end)
+	}
+
+	wg.Wait()
+
+	result := initial
+	for i, r := range results {
+		result = reducer(i, result, r)
+	}
+
+	return result
+}
+
 // FilterConcurrent applies the provided filter function `predicate` to each element of the input slice concurrently.
 // Play: todo
 func FilterConcurrent[T any](slice []T, predicate func(index int, item T) bool, numThreads int) []T {

slice/slice_example_test.go

@@ -527,6 +527,18 @@ func ExampleReduce() {
 	// 6
 }
 
+func ExampleReduceConcurrent() {
+	nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
+	result := ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+		return agg + item
+	}, 1)
+
+	fmt.Println(result)
+
+	// Output:
+	// 55
+}
+
 func ExampleReduceBy() {
 	result1 := ReduceBy([]int{1, 2, 3, 4}, 0, func(_ int, item int, agg int) int {
 		return agg + item

slice/slice_test.go

@@ -587,6 +587,44 @@ func TestReduce(t *testing.T) {
 	}
 }
 
+func TestReduceConcurrent(t *testing.T) {
+	t.Parallel()
+
+	assert := internal.NewAssert(t, "TestReduceConcurrent")
+
+	t.Run("basic", func(t *testing.T) {
+		nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
+		result := ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+			return agg + item
+		}, 4)
+		assert.Equal(55, result)
+	})
+
+	t.Run("empty slice", func(t *testing.T) {
+		nums := []int{}
+		result := ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+			return agg + item
+		}, 4)
+		assert.Equal(0, result)
+	})
+
+	t.Run("single thread", func(t *testing.T) {
+		nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
+		result := ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+			return agg + item
+		}, 1)
+		assert.Equal(55, result)
+	})
+
+	t.Run("negative threads", func(t *testing.T) {
+		nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
+		result := ReduceConcurrent(nums, 0, func(_ int, item, agg int) int {
+			return agg + item
+		}, -1)
+		assert.Equal(55, result)
+	})
+}
+
 func TestReduceBy(t *testing.T) {
 	t.Parallel()