fix: Polishing code format on linearLogRecur, convert String type to string (#841)

codes/csharp/chapter_computational_complexity/time_complexity.cs

@@ -134,8 +134,7 @@ public class time_complexity {
     /* 线性对数阶 */
     static int LinearLogRecur(float n) {
         if (n <= 1) return 1;
-        int count = LinearLogRecur(n / 2) +
+        int count = LinearLogRecur(n / 2) + LinearLogRecur(n / 2);
-                    LinearLogRecur(n / 2);
         for (int i = 0; i < n; i++) {
             count++;
         }

codes/csharp/chapter_computational_complexity/worst_best_time_complexity.cs

@@ -17,11 +17,8 @@ public class worst_best_time_complexity {
 
         // 随机打乱数组元素
         for (int i = 0; i < nums.Length; i++) {
-            var index = new Random().Next(i, nums.Length);
+            int index = new Random().Next(i, nums.Length);
-            var tmp = nums[i];
+            (nums[i], nums[index]) = (nums[index], nums[i]);
-            var ran = nums[index];
-            nums[i] = ran;
-            nums[index] = tmp;
         }
         return nums;
     }

codes/go/chapter_computational_complexity/time_complexity.go

@@ -109,8 +109,7 @@ func linearLogRecur(n float64) int {
 	if n <= 1 {
 		return 1
 	}
-	count := linearLogRecur(n/2) +
+	count := linearLogRecur(n / 2) + linearLogRecur(n / 2)
-		linearLogRecur(n/2)
 	for i := 0.0; i < n; i++ {
 		count++
 	}

codes/java/chapter_computational_complexity/time_complexity.java

@@ -107,8 +107,7 @@ public class time_complexity {
     static int linearLogRecur(float n) {
         if (n <= 1)
             return 1;
-        int count = linearLogRecur(n / 2) +
+        int count = linearLogRecur(n / 2) + linearLogRecur(n / 2);
-                linearLogRecur(n / 2);
         for (int i = 0; i < n; i++) {
             count++;
         }

codes/rust/chapter_computational_complexity/time_complexity.rs

@@ -111,8 +111,7 @@ fn linear_log_recur(n: f32) -> i32 {
     if n <= 1.0 {
         return 1;
     }
-    let mut count = linear_log_recur(n / 2.0) + 
+    let mut count = linear_log_recur(n / 2.0) + linear_log_recur(n / 2.0);
-                    linear_log_recur(n / 2.0);
     for _ in 0 ..n as i32 {
         count += 1;
     }

codes/zig/chapter_computational_complexity/time_complexity.zig

@@ -115,8 +115,7 @@ fn logRecur(n: f32) i32 {
 // 线性对数阶
 fn linearLogRecur(n: f32) i32 {
     if (n <= 1) return 1;
-    var count: i32 = linearLogRecur(n / 2) +
+    var count: i32 = linearLogRecur(n / 2) + linearLogRecur(n / 2);
-                linearLogRecur(n / 2);
     var i: f32 = 0;
     while (i < n) : (i += 1) {
         count += 1;

docs/chapter_hashing/hash_map.md

@@ -339,7 +339,7 @@
         Console.WriteLine(key);
     }
     // 单独遍历值 value
-    foreach (String val in map.Values) {
+    foreach (string val in map.Values) {
         Console.WriteLine(val);
     }
     ```