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feat: update lc problems (#4449)
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‎solution/3500-3599/3549.Multiply Two Polynomials/README.md

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<p>设&nbsp;<code>A(x)</code> 和&nbsp;<code>B(x)</code>&nbsp;分别是&nbsp;<code>poly1</code> 和&nbsp;<code>poly2</code>&nbsp;表示的多项式。</p>
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<p>返回一个整数数组&nbsp;<code>result</code>&nbsp;表示乘积多项式 <code>R(x) = A(x) * B(x)</code>&nbsp;的系数，其中&nbsp;<code>result[i]</code>&nbsp;表示&nbsp;<code>R(x)</code>&nbsp;中 <code>x<sup>i</sup></code>&nbsp;的系数。</p>
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<p>返回一个长度为&nbsp;<code>(poly1.length + poly2.length - 1)</code>&nbsp;的整数数组&nbsp;<code>result</code>&nbsp;表示乘积多项式 <code>R(x) = A(x) * B(x)</code>&nbsp;的系数，其中&nbsp;<code>result[i]</code>&nbsp;表示&nbsp;<code>R(x)</code>&nbsp;中 <code>x<sup>i</sup></code>&nbsp;的系数。</p>
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<p>&nbsp;</p>
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‎solution/3500-3599/3549.Multiply Two Polynomials/README_EN.md

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<p>Let <code>A(x)</code> and <code>B(x)</code> be the polynomials represented by <code>poly1</code> and <code>poly2</code>, respectively.</p>
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<p>Return an integer array <code>result</code> representing the coefficients of the product polynomial <code>R(x) = A(x) * B(x)</code>, where <code>result[i]</code> denotes the coefficient of <code>x<sup>i</sup></code> in <code>R(x)</code>.</p>
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<p>Return an integer array <code>result</code> of length <code>(poly1.length + poly2.length - 1)</code> representing the coefficients of the product polynomial <code>R(x) = A(x) * B(x)</code>, where <code>result[i]</code> denotes the coefficient of <code>x<sup>i</sup></code> in <code>R(x)</code>.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>

‎solution/3500-3599/3555.Smallest Subarray to Sort in Every Sliding Window/README.md

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comments: true
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difficulty: 中等
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edit_url: https://github.com/doocs/leetcode/edit/main/solution/3500-3599/3555.Smallest%20Subarray%20to%20Sort%20in%20Every%20Sliding%20Window/README.md
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tags:
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- 栈
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- 贪心
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- 数组
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- 双指针
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- 排序
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- 单调栈
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‎solution/3500-3599/3555.Smallest Subarray to Sort in Every Sliding Window/README_EN.md

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comments: true
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difficulty: Medium
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edit_url: https://github.com/doocs/leetcode/edit/main/solution/3500-3599/3555.Smallest%20Subarray%20to%20Sort%20in%20Every%20Sliding%20Window/README_EN.md
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tags:
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- Stack
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- Greedy
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- Array
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- Two Pointers
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- Sorting
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- Monotonic Stack
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‎solution/3500-3599/3556.Sum of Largest Prime Substrings/README.md

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comments: true
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difficulty: 中等
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edit_url: https://github.com/doocs/leetcode/edit/main/solution/3500-3599/3556.Sum%20of%20Largest%20Prime%20Substrings/README.md
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tags:
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- 哈希表
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- 数学
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- 字符串
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- 数论
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- 排序
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‎solution/3500-3599/3556.Sum of Largest Prime Substrings/README_EN.md

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tags:
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- Hash Table
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- Math
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- String
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- Number Theory
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- Sorting
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‎solution/3500-3599/3557.Find Maximum Number of Non Intersecting Substrings/README.md

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difficulty: 中等
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edit_url: https://github.com/doocs/leetcode/edit/main/solution/3500-3599/3557.Find%20Maximum%20Number%20of%20Non%20Intersecting%20Substrings/README.md
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tags:
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- 贪心
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- 哈希表
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- 字符串
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- 动态规划
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‎solution/3500-3599/3557.Find Maximum Number of Non Intersecting Substrings/README_EN.md

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tags:
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- Greedy
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- Hash Table
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- String
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- Dynamic Programming
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‎solution/3500-3599/3558.Number of Ways to Assign Edge Weights I/README.md

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tags:
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- 树
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- 深度优先搜索
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- 数学
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‎solution/3500-3599/3558.Number of Ways to Assign Edge Weights I/README_EN.md

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tags:
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- Tree
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- Depth-First Search
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- Math
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‎solution/3500-3599/3559.Number of Ways to Assign Edge Weights II/README.md

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tags:
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- 树
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- 深度优先搜索
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- 数组
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- 数学
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- 动态规划
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‎solution/3500-3599/3559.Number of Ways to Assign Edge Weights II/README_EN.md

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tags:
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- Tree
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- Depth-First Search
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- Array
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- Math
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- Dynamic Programming
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‎solution/3500-3599/3560.Find Minimum Log Transportation Cost/README.md

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tags:
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- 数学
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‎solution/3500-3599/3560.Find Minimum Log Transportation Cost/README_EN.md

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tags:
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- Math
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‎solution/3500-3599/3561.Resulting String After Adjacent Removals/README.md

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tags:
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- 栈
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- 字符串
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- 模拟
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‎solution/3500-3599/3561.Resulting String After Adjacent Removals/README_EN.md

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tags:
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- Stack
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- String
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- Simulation
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‎solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README.md

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tags:
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- 树
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- 深度优先搜索
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- 数组
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- 动态规划
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‎solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README_EN.md

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tags:
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- Tree
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- Depth-First Search
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- Array
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- Dynamic Programming
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‎solution/3500-3599/3563.Lexicographically Smallest String After Adjacent Removals/README.md

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tags:
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- 字符串
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- 动态规划
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‎solution/3500-3599/3563.Lexicographically Smallest String After Adjacent Removals/README_EN.md

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tags:
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- String
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- Dynamic Programming
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‎solution/3500-3599/3564.Seasonal Sales Analysis/README.md

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# [3564. Seasonal Sales Analysis](https://leetcode.cn/problems/seasonal-sales-analysis)
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# [3564. 季节性销售分析](https://leetcode.cn/problems/seasonal-sales-analysis)
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[English Version](/solution/3500-3599/3564.Seasonal%20Sales%20Analysis/README_EN.md)
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## 题目描述
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<!-- description:start -->
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<p>Table: <code>sales</code></p>
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<p>表：<code>sales</code></p>
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<pre>
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+---------------+---------+
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| quantity | int |
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| price | decimal |
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+---------------+---------+
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sale_id is the unique identifier for this table.
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Each row contains information about a product sale including the product_id, date of sale, quantity sold, and price per unit.
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sale_id 是这张表的唯一主键。
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每一行包含一件产品的销售信息，包括 product_id，销售日期，销售数量，以及单价。
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</pre>
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<p>Table: <code>products</code></p>
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<p>表：<code>products</code></p>
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<pre>
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+---------------+---------+
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| product_name | varchar |
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| category | varchar |
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+---------------+---------+
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product_id is the unique identifier for this table.
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Each row contains information about a product including its name and category.
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product_id 是这张表的唯一主键。
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每一行包含一件产品的信息，包括它的名字和分类。
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</pre>
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<p>Write a solution to find the most popular product category for each season. The seasons are defined as:</p>
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<p>编写一个解决方案来找到每个季节最受欢迎的产品分类。季节定义如下：</p>
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<ul>
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<li><strong>Winter</strong>: December, January, February</li>
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<li><strong>Spring</strong>: March, April, May</li>
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<li><strong>Summer</strong>: June, July, August</li>
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<li><strong>Fall</strong>: September, October, November</li>
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<li><strong>冬季</strong>：十二月，一月，二月</li>
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<li><strong>春季</strong>：三月，四月，五月</li>
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<li><strong>夏季</strong>：六月，七月，八月</li>
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<li><strong>秋季</strong>：九月，十月，十一月</li>
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</ul>
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<p>The <strong>popularity</strong> of a <strong>category</strong> is determined by the <strong>total quantity sold</strong> in that <strong>season</strong>. If there is a <strong>tie</strong>, select the category with the highest <strong>total revenue</strong> (<code>quantity &times; price</code>).</p>
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<p>一个 <strong>分类</strong>&nbsp;的 <b>受欢迎度</b>&nbsp;由某个 <strong>季节</strong>&nbsp;的 <strong>总销售量</strong>&nbsp;决定。如果有并列，选择总收入最高的类别 (<code>quantity × price</code>)。</p>
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<p>Return <em>the result table ordered by season in <strong>ascending</strong> order</em>.</p>
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<p>返回结果表以季节 <strong>升序</strong>&nbsp;排序。</p>
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<p>The result format is in the following example.</p>
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<p>结果格式如下所示。</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example:</strong></p>
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<p><strong class="example">示例：</strong></p>
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<div class="example-block">
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<p><strong>Input:</strong></p>
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<p><strong>输入：</strong></p>
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<p>sales table:</p>
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<p>sales 表：</p>
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<pre class="example-io">
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+---------+------------+------------+----------+-------+
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+---------+------------+------------+----------+-------+
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</pre>
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<p>products table:</p>
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<p>products 表：</p>
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<pre class="example-io">
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+------------+-----------------+----------+
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+------------+-----------------+----------+
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</pre>
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<p><strong>Output:</strong></p>
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<p><strong>输出：</strong></p>
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<pre class="example-io">
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+---------+----------+----------------+---------------+
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+---------+----------+----------------+---------------+
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</pre>
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<p><strong>Explanation:</strong></p>
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<p><strong>解释：</strong></p>
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<ul>
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<li><strong>Fall (Sep, Oct, Nov):</strong>
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<li><strong>秋季（九月，十月，十一月）：</strong>
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<ul>
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<li>Apparel: 10 items sold (6 Jackets in Sep, 4 Jeans in Nov), revenue $120.00 (6&times;$10.00 + 4&times;$15.00)</li>
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<li>Fitness: 3 Yoga Mats sold in Sep, revenue $36.00</li>
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<li>Most popular: Apparel with highest total quantity (10)</li>
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<li>服装：售出 10 件商品（在 9 月有 6 件夹克，在 11 月 有 4 条牛仔裤），收入 $120.00（6×$10.00 + 4×$15.00）</li>
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<li>健身: 9 月售出&nbsp;3 张瑜伽垫，收入&nbsp;$36.00</li>
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<li>最受欢迎：服装总数量最多（10）</li>
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</ul>
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</li>
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<li><strong>Spring (Mar, Apr, May):</strong>
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<li><strong>春季（三月，四月，五月）：</strong>
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<ul>
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<li>Kitchen: 3 Cutting Boards sold in Mar, revenue $54.00</li>
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<li>Tech: 1 Smart Speaker sold in Apr, revenue $20.00</li>
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<li>Apparel: 2 Warm Jackets sold in May, revenue $20.00</li>
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<li>Most popular: Kitchen with highest total quantity (3) and highest revenue ($54.00)</li>
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<li>厨房：5 月 售出 3 张菜板，收入 $54.00</li>
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<li>科技：4 月 售出 1 台智能音箱，收入&nbsp;$20.00</li>
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<li>服装: 五月售出 2 件保暖夹克，收入&nbsp;$20.00</li>
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<li>最受欢迎：厨房总数量最多（3）且收入最多（$54.00）</li>
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</ul>
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</li>
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<li><strong>Summer (Jun, Jul, Aug):</strong>
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<li><strong>夏季（六月，七月，八月</strong><strong>）：</strong>
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<ul>
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<li>Apparel: 4 Designer Jeans sold in Jun, revenue $60.00</li>
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<li>Fitness: 5 Yoga Mats sold in Jun, revenue $60.00</li>
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<li>Kitchen: 2 Cutting Boards sold in Jul, revenue $36.00</li>
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<li>Tech: 5 Smart Speakers sold in Aug, revenue $100.00</li>
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<li>Most popular: Tech and Fitness both have 5 items, but Tech has higher revenue ($100.00 vs $60.00)</li>
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<li>服装：六月售出 4 件名牌牛仔裤，收入 $60.00</li>
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<li>健身：六月售出 5&nbsp;张瑜伽垫，收入&nbsp;$60.00</li>
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<li>厨房：七月售出 2&nbsp;张菜板，收入 $36.00</li>
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<li>科技：八月售出 5&nbsp;台智能音箱，收入&nbsp;$100.00</li>
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<li>最受欢迎：科技和健身都有 5 件商品，但科技收入更多（$100.00 vs $60.00）</li>
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</ul>
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<li><strong>Winter (Dec, Jan, Feb):</strong>
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<li><strong>冬季（十二月，一月，二月</strong><strong>）：</strong>
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<ul>
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<li>Apparel: 9 items sold (5 Jackets in Jan, 4 Jeans in Jan), revenue $110.00</li>
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<li>Kitchen: 6 Cutting Boards sold in Dec, revenue $108.00</li>
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<li>Tech: 3 Smart Speakers sold in Dec, revenue $60.00</li>
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<li>Fitness: 2 Yoga Mats sold in Feb, revenue $24.00</li>
155-
<li>Most popular: Apparel with highest total quantity (9) and highest revenue ($110.00)</li>
152+
<li>服装：售出 9 件商品（一月有 5 件夹克和&nbsp;4 条牛仔裤），收入 $110.00</li>
153+
<li>厨房：十二月售出 6 张菜板，收入 $108.00</li>
154+
<li>科技：十二月售出 3 台智能音箱，收入 $60.00</li>
155+
<li>健身：二月售出 2 张瑜伽垫，收入 $24.00</li>
156+
<li>最受欢迎：服装总数量最多（9）且收入最多（$110.00）</li>
156157
</ul>
157158
</li>
158159

159160
</ul>
160161

161-
<p>The result table is ordered by season in ascending order.</p>
162+
<p>结果表以季节升序排序。</p>
162163
</div>
163164

164165
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