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3aqs1c.json
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{
"data": {
"question": {
"questionId": "1000478",
"questionFrontendId": "LCP 65",
"categoryTitle": "Algorithms",
"boundTopicId": 1845925,
"title": "舒适的湿度",
"titleSlug": "3aqs1c",
"content": "",
"translatedTitle": "舒适的湿度",
"translatedContent": "力扣嘉年华为了确保更舒适的游览环境条件，在会场的各处设置了湿度调节装置，这些调节装置受控于总控室中的一台控制器。\n控制器中已经预设了一些调节指令，整数数组`operate[i]` 表示第 `i` 条指令增加空气湿度的大小。现在你可以将任意数量的指令修改为降低湿度（变化的数值不变），以确保湿度尽可能的适宜：\n- 控制器会选择 **一段连续的指令** ，从而进行湿度调节的操作；\n- 这段指令最终对湿度影响的绝对值，即为当前操作的「不适宜度」\n- 在控制器所有可能的操作中，**最大** 的「不适宜度」即为「整体不适宜度」\n\n请返回在所有修改指令的方案中，可以得到的 **最小** 「整体不适宜度」。\n\n**示例 1：**\n> 输入：`operate = [5,3,7]`\n>\n> 输出：`8`\n>\n> 解释：对于方案 `2` 的 `[5,3,-7]`\n>操作指令 `[5],[3],[-7]` 的「不适宜度」分别为 `5,3,7`\n>操作指令 `[5,3],[3,-7]` 的「不适宜度」分别为 `8,4`\n>操作指令 `[5,3,-7]` 的「不适宜度」为 `1`，\n>因此对于方案 `[5,3,-7]`的「整体不适宜度」为 `8`，其余方案的「整体不适宜度」均不小于 `8`，如下表所示：\n{:width=650px}\n\n**示例 2：**\n> 输入：`operate = [20,10]`\n>\n> 输出：`20`\n\n**提示：**\n- `1 <= operate.length <= 1000`\n- `1 <= operate[i] <= 1000`",
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"code": "class Solution {\npublic:\n int unSuitability(vector<int>& operate) {\n\n }\n};",
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