feat: add solutions to lc problem: No.3375

solution/3300-3399/3375.Minimum Operations to Make Array Values Equal to K/README.md

@@ -88,7 +88,13 @@ tags:
 
 <!-- solution:start -->
 
-### 方法一
+### 方法一：哈希表
+
+根据题目描述，我们每次可以选择当前数组中的次大值作为合法整数 $h$，将所有大于 $h$ 的数都变为 $h$，这样可以使得操作次数最少。另外，由于操作会使得数字变小，因此，如果当前数组中存在小于 $k$ 的数，那么我们就无法将所有数都变为 $k$，直接返回 -1 即可。
+
+我们遍历数组 $\textit{nums}$，对于当前的数 $x$，如果 $x < k$，直接返回 -1；否则，我们将 $x$ 加入哈希表中，并且更新当前数组中的最小值 $\textit{mi}$。最后，我们返回哈希表的大小减去 1（如果 $\textit{mi} = k$，则需要减去 1）。
+
+时间复杂度 $O(n)$，空间复杂度 $O(n)$。其中 $n$ 是数组 $\textit{nums}$ 的长度。
 
 <!-- tabs:start -->
 
@@ -183,6 +189,29 @@ function minOperations(nums: number[], k: number): number {
 }
 ```
 
+#### Rust
+
+```rust
+impl Solution {
+    pub fn min_operations(nums: Vec<i32>, k: i32) -> i32 {
+        use std::collections::HashSet;
+
+        let mut s = HashSet::new();
+        let mut mi = i32::MAX;
+
+        for &x in &nums {
+            if x < k {
+                return -1;
+            }
+            s.insert(x);
+            mi = mi.min(x);
+        }
+
+        (s.len() as i32) - if mi == k { 1 } else { 0 }
+    }
+}
+```
+
 <!-- tabs:end -->
 
 <!-- solution:end -->

solution/3300-3399/3375.Minimum Operations to Make Array Values Equal to K/README_EN.md

@@ -86,7 +86,13 @@ tags:
 
 <!-- solution:start -->
 
-### Solution 1
+### Solution 1: Hash Table
+
+According to the problem description, we can choose the second largest value in the current array as the valid integer $h$ each time, and change all numbers greater than $h$ to $h$. This minimizes the number of operations. Additionally, since the operation reduces the numbers, if there are numbers in the current array smaller than $k$, we cannot make all numbers equal to $k$, so we directly return -1.
+
+We iterate through the array $\textit{nums}$. For the current number $x$, if $x < k$, we directly return -1. Otherwise, we add $x$ to the hash table and update the minimum value $\textit{mi}$ in the current array. Finally, we return the size of the hash table minus 1 (if $\textit{mi} = k$, we need to subtract 1).
+
+Time complexity is $O(n)$, and space complexity is $O(n)$, where $n$ is the length of the array $\textit{nums}$.
 
 <!-- tabs:start -->
 
@@ -181,6 +187,29 @@ function minOperations(nums: number[], k: number): number {
 }
 ```
 
+#### Rust
+
+```rust
+impl Solution {
+    pub fn min_operations(nums: Vec<i32>, k: i32) -> i32 {
+        use std::collections::HashSet;
+
+        let mut s = HashSet::new();
+        let mut mi = i32::MAX;
+
+        for &x in &nums {
+            if x < k {
+                return -1;
+            }
+            s.insert(x);
+            mi = mi.min(x);
+        }
+
+        (s.len() as i32) - if mi == k { 1 } else { 0 }
+    }
+}
+```
+
 <!-- tabs:end -->
 
 <!-- solution:end -->

solution/3300-3399/3375.Minimum Operations to Make Array Values Equal to K/Solution.rs

@@ -0,0 +1,18 @@
+impl Solution {
+    pub fn min_operations(nums: Vec<i32>, k: i32) -> i32 {
+        use std::collections::HashSet;
+
+        let mut s = HashSet::new();
+        let mut mi = i32::MAX;
+
+        for &x in &nums {
+            if x < k {
+                return -1;
+            }
+            s.insert(x);
+            mi = mi.min(x);
+        }
+
+        (s.len() as i32) - if mi == k { 1 } else { 0 }
+    }
+}