chore: update lc problems (#1777)

* chore: update lc problems
* docs: update summary

Author: yanglbme

.github/workflows/pretter-lint.yml

@@ -6,7 +6,7 @@
 
 <!-- 这里写题目描述 -->
 
-<p>编写一个解决方案，从名为 &nbsp;<code>student_data</code>&nbsp;的二维列表&nbsp;<b>创建 </b>一个 DataFrame 。这个二维列表包含一些学生的 ID 和年龄信息。</p>
+<p>编写一个解决方案，基于名为&nbsp;&nbsp;<code>student_data</code>&nbsp;的二维列表&nbsp;<b>创建 </b>一个 DataFrame 。这个二维列表包含一些学生的 ID 和年龄信息。</p>
 
 <p>DataFrame 应该有两列，&nbsp;<code>student_id</code>&nbsp;和&nbsp;<code>age</code>，并且与原始二维列表的顺序相同。</p>
 
@@ -35,7 +35,7 @@
 | 4          | 20  |
 +------------+-----+
 <b>解释：</b>
-在 student_data 上创建了一个 DataFrame，包含 student_id 和 age 两列。
+基于 student_data 创建了一个 DataFrame，包含 student_id 和 age 两列。
 </pre>
 
 ## 解法

solution/2800-2899/2877.Create a DataFrame from List/README.md

@@ -1,4 +1,4 @@
-# [2878. Get the Size of a DataFrame](https://leetcode.cn/problems/get-the-size-of-a-dataframe)
+# [2878. 获取 DataFrame 的大小](https://leetcode.cn/problems/get-the-size-of-a-dataframe)
 
 [English Version](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README_EN.md)
 
@@ -19,19 +19,20 @@ DataFrame <code>players:</code>
 +-------------+--------+
 </pre>
 
-<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
+<p>编写一个解决方案，计算并显示&nbsp;<code>players</code>&nbsp;的&nbsp;<strong>行数和列数</strong>。</p>
 
-<p>Return the result as an array:</p>
+<p>将结果返回为一个数组：</p>
 
 <p><code>[number of rows, number of columns]</code></p>
 
-<p>The result format is in the following example.</p>
+<p>返回结果格式如下示例所示。</p>
 
 <p>&nbsp;</p>
-<p><strong class="example">Example 1:</strong></p>
+
+<p><b>示例 1：</b></p>
 
 <pre>
-<strong>Input:
+<strong>输入：
 </strong>+-----------+----------+-----+-------------+--------------------+
 | player_id | name     | age | position    | team               |
 +-----------+----------+-----+-------------+--------------------+
@@ -46,10 +47,10 @@ DataFrame <code>players:</code>
 | 761       | Jack     | 33  | Midfielder  | ManchesterCity     |
 | 642       | Charlie  | 36  | Center-back | Arsenal            |
 +-----------+----------+-----+-------------+--------------------+<strong>
-Output:
+输出：
 </strong>[10, 5]
-<strong>Explanation:</strong>
-This DataFrame contains 10 rows and 5 columns.
+<b>解释：</b>
+这个 DataFrame 包含 10 行和 5 列。
 </pre>
 
 ## 解法

solution/2800-2899/2878.Get the Size of a DataFrame/README.md

@@ -1,4 +1,4 @@
-# [2879. Display the First Three Rows](https://leetcode.cn/problems/display-the-first-three-rows)
+# [2879. 显示前三行](https://leetcode.cn/problems/display-the-first-three-rows)
 
 [English Version](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README_EN.md)
 
@@ -18,13 +18,14 @@ DataFrame: <code>employees</code>
 +-------------+--------+
 </pre>
 
-<p>Write a solution to display the <strong>first <code>3</code> </strong>rows<strong> </strong>of this DataFrame.</p>
+<p>编写一个解决方案，显示这个 DataFrame 的<strong> 前&nbsp;&nbsp;<code>3</code>&nbsp;</strong>行。</p>
 
 <p>&nbsp;</p>
-<p><strong class="example">Example 1:</strong></p>
+
+<p><b>示例 1:</b></p>
 
 <pre>
-<strong>Input:
+<strong>输入：
 </strong>DataFrame employees
 +-------------+-----------+-----------------------+--------+
 | employee_id | name      | department            | salary |
@@ -36,16 +37,16 @@ DataFrame: <code>employees</code>
 | 49          | Jonathan  | HumanResources        | 23793  |
 | 43          | Khaled    | Administration        | 40454  |
 +-------------+-----------+-----------------------+--------+
-<strong>Output:</strong>
+<b>输出：</b>
 +-------------+---------+-------------+--------+
 | employee_id | name    | department  | salary |
 +-------------+---------+-------------+--------+
 | 3           | Bob     | Operations  | 48675  |
 | 90          | Alice   | Sales       | 11096  |
 | 9           | Tatiana | Engineering | 33805  |
 +-------------+---------+-------------+--------+
-<strong>Explanation:</strong> 
-Only the first 3 rows are displayed.</pre>
+<b>解释：</b>
+只有前 3 行被显示。</pre>
 
 ## 解法
 

solution/2800-2899/2879.Display the First Three Rows/README.md

@@ -1,4 +1,4 @@
-# [2880. Select Data](https://leetcode.cn/problems/select-data)
+# [2880. 数据选取](https://leetcode.cn/problems/select-data)
 
 [English Version](/solution/2800-2899/2880.Select%20Data/README_EN.md)
 
@@ -18,14 +18,16 @@ DataFrame students
 
 </pre>
 
-<p>Write a solution to select the name and age of the student with <code>student_id = 101</code>.</p>
+<p>编写一个解决方案，选择&nbsp;<code>student_id = 101</code>&nbsp;的学生的 name 和 age 并输出。</p>
 
-<p>The result format is in the following example.</p>
+<p>返回结果格式如下示例所示。</p>
 
 <p>&nbsp;</p>
+
+<p><strong>示例 1:</strong></p>
+
 <pre>
-<strong>Example 1:
-Input:</strong>
+<b>输入：</b>
 +------------+---------+-----+
 | student_id | name    | age |
 +------------+---------+-----+
@@ -34,14 +36,14 @@ Input:</strong>
 | 128        | Henry   | 6   |
 | 3          | Henry   | 11  |
 +------------+---------+-----+
-<strong>Output:</strong>
+<b>输出：</b>
 +---------+-----+
 | name    | age | 
 +---------+-----+
 | Ulysses | 13  |
 +---------+-----+
-<strong>Explanation:
-</strong>Student Ulysses has student_id = 101, we select the name and age.</pre>
+<strong>解释：
+</strong>学生 Ulysses 的 student_id = 101，所以我们输出了他的 name 和 age。</pre>
 
 ## 解法
 

solution/2800-2899/2880.Select Data/README.md

@@ -51,7 +51,7 @@ DataFrame employees
 | Thomas  | 24433  | 48866  |
 +---------+--------+--------+
 <b>解释：</b>
-通过将salary列中的值加倍创建了一个新的bonus列。</pre>
+通过将 salary 列中的值加倍创建了一个新的 bonus 列。</pre>
 
 ## 解法
 

solution/2800-2899/2881.Create a New Column/README.md

@@ -1,4 +1,4 @@
-# [2889. Reshape Data Pivot](https://leetcode.cn/problems/reshape-data-pivot)
+# [2889. 数据重塑：透视](https://leetcode.cn/problems/reshape-data-pivot)
 
 [English Version](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README_EN.md)
 
@@ -17,14 +17,15 @@ DataFrame <code>weather</code>
 +-------------+--------+
 </pre>
 
-<p>Write a solution to <strong>pivot</strong> the data so that each row represents temperatures for a specific month, and each city is a separate column.</p>
+<p>编写一个解决方案，以便将数据&nbsp;<strong>旋转</strong>，使得每一行代表特定月份的温度，而每个城市都是一个单独的列。</p>
 
-<p>The result format is in the following example.</p>
+<p>输出结果格式如下示例所示。</p>
 
 <p>&nbsp;</p>
+<b>示例 1:</b>
+
 <pre>
-<strong class="example">Example 1:</strong>
-<strong>Input:</strong>
+<b>输入：</b>
 +--------------+----------+-------------+
 | city         | month    | temperature |
 +--------------+----------+-------------+
@@ -39,7 +40,7 @@ DataFrame <code>weather</code>
 | ElPaso       | April    | 2           |
 | ElPaso       | May      | 43          |
 +--------------+----------+-------------+
-<strong>Output:</strong><code>
+<code><b>输出：</b>
 +----------+--------+--------------+
 | month    | ElPaso | Jacksonville |
 +----------+--------+--------------+
@@ -49,8 +50,8 @@ DataFrame <code>weather</code>
 | March    | 26     | 38           |
 | May      | 43     | 34           |
 +----------+--------+--------------+</code>
-<strong>Explanation:
-</strong>The table is pivoted, each column represents a city, and each row represents a specific month.</pre>
+<strong>解释：
+</strong>表格被旋转，每一列代表一个城市，每一行代表特定的月份。</pre>
 
 ## 解法
 

solution/2800-2899/2889.Reshape Data Pivot/README.md

@@ -1,4 +1,4 @@
-# [2891. Method Chaining](https://leetcode.cn/problems/method-chaining)
+# [2891. 方法链](https://leetcode.cn/problems/method-chaining)
 
 [English Version](/solution/2800-2899/2891.Method%20Chaining/README_EN.md)
 
@@ -18,17 +18,18 @@ DataFrame <code>animals</code>
 +-------------+--------+
 </pre>
 
-<p>Write a solution to list the names of animals that weigh <strong>strictly more than</strong> <code>100</code> kilograms.</p>
+<p>编写一个解决方案来列出体重 <strong>严格超过&nbsp;</strong>&nbsp;<code>100</code>&nbsp; 千克的动物的名称。</p>
 
-<p>Return the&nbsp;animals sorted by weight in <strong>descending order</strong>.</p>
+<p>按体重 <strong>降序</strong> 返回动物。</p>
 
-<p>The result format is in the following example.</p>
+<p>返回结果格式如下示例所示。</p>
 
 <p>&nbsp;</p>
-<p><strong>Example 1:</strong></p>
+
+<p><b>示例 1:</b></p>
 
 <pre>
-<strong>Input:</strong> 
+<b>输入：</b>
 DataFrame animals:
 +----------+---------+-----+--------+
 | name     | species | age | weight |
@@ -40,7 +41,7 @@ DataFrame animals:
 | Stefan   | Bear    | 100 | 50     |
 | Tommy    | Panda   | 26  | 349    |
 +----------+---------+-----+--------+
-<strong>Output:</strong> 
+<b>输出：</b>
 +----------+
 | name     |
 +----------+
@@ -49,15 +50,16 @@ DataFrame animals:
 | Tommy    |
 | Alex     |
 +----------+
-<strong>Explanation:</strong> 
-All animals weighing more than 100 should be included in the results table.
-Tatiana&#39;s weight is 464, Jonathan&#39;s weight is 463, Tommy&#39;s weight is 349, and Alex&#39;s weight is 328.
-The results should be sorted in descending order of weight.</pre>
+<b>解释：</b>
+所有体重超过 100 的动物都应包含在结果表中。
+Tatiana 的体重为 464，Jonathan 的体重为 463，Tommy 的体重为 349，Alex 的体重为 328。
+结果应按体重降序排序。</pre>
 
 <p>&nbsp;</p>
-<p>In Pandas, <strong>method chaining</strong> enables us to&nbsp;perform operations on a DataFrame without breaking up each operation into a separate line or creating multiple temporary variables.&nbsp;</p>
 
-<p>Can you complete this&nbsp;task in just <strong>one line </strong>of code using method chaining?</p>
+<p>在 Pandas 中，<strong>方法链</strong> 允许我们在 DataFrame 上执行操作，而无需将每个操作拆分成单独的行或创建多个临时变量。</p>
+
+<p>你能用 <strong>一行</strong> 代码的方法链完成这个任务吗？</p>
 
 ## 解法
 

solution/2800-2899/2891.Method Chaining/README.md

@@ -24,7 +24,7 @@
 | 2629 | [复合函数](/solution/2600-2699/2629.Function%20Composition/README.md)                                                                                 |      | 简单 |      |
 | 2630 | [记忆函数 II](/solution/2600-2699/2630.Memoize%20II/README.md)                                                                                        |      | 困难 |      |
 | 2631 | [分组](/solution/2600-2699/2631.Group%20By/README.md)                                                                                                 |      | 中等 |      |
-| 2632 | [柯里化](/solution/2600-2699/2632.Curry/README.md)                                                                                                    |      | 中等 | 🔒   |
+| 2632 | [柯里化](/solution/2600-2699/2632.Curry/README.md)                                                                                                    |      | 困难 | 🔒   |
 | 2633 | [将对象转换为 JSON 字符串](/solution/2600-2699/2633.Convert%20Object%20to%20JSON%20String/README.md)                                                  |      | 中等 | 🔒   |
 | 2634 | [过滤数组中的元素](/solution/2600-2699/2634.Filter%20Elements%20from%20Array/README.md)                                                               |      | 简单 |      |
 | 2635 | [转换数组中的每个元素](/solution/2600-2699/2635.Apply%20Transform%20Over%20Each%20Element%20in%20Array/README.md)                                     |      | 简单 |      |
@@ -34,9 +34,9 @@
 | 2649 | [嵌套数组生成器](/solution/2600-2699/2649.Nested%20Array%20Generator/README.md)                                                                       |      | 中等 |      |
 | 2650 | [设计可取消函数](/solution/2600-2699/2650.Design%20Cancellable%20Function/README.md)                                                                  |      | 困难 |      |
 | 2665 | [计数器 II](/solution/2600-2699/2665.Counter%20II/README.md)                                                                                          |      | 简单 |      |
-| 2666 | [只允许一次函数调用](/solution/2600-2699/2666.Allow%20One%20Function%20Call/README.md)                                                                |      | 简单 |      |
+| 2666 | [只允许一次函数调用 44](/solution/2600-2699/2666.Allow%20One%20Function%20Call/README.md)                                                             |      | 简单 |      |
 | 2667 | [创建 Hello World 函数](/solution/2600-2699/2667.Create%20Hello%20World%20Function/README.md)                                                         |      | 简单 |      |
-| 2675 | [将对象数组转换为矩阵](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README.md)                                                         |      | 中等 | 🔒   |
+| 2675 | [将对象数组转换为矩阵](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README.md)                                                         |      | 困难 | 🔒   |
 | 2676 | [节流](/solution/2600-2699/2676.Throttle/README.md)                                                                                                   |      | 中等 | 🔒   |
 | 2677 | [分块数组](/solution/2600-2699/2677.Chunk%20Array/README.md)                                                                                          |      | 简单 |      |
 | 2690 | [无穷方法对象](/solution/2600-2699/2690.Infinite%20Method%20Object/README.md)                                                                         |      | 简单 | 🔒   |
@@ -52,7 +52,7 @@
 | 2715 | [执行可取消的延迟函数](/solution/2700-2799/2715.Timeout%20Cancellation/README.md)                                                                     |      | 简单 |      |
 | 2721 | [并行执行异步函数](/solution/2700-2799/2721.Execute%20Asynchronous%20Functions%20in%20Parallel/README.md)                                             |      | 中等 |      |
 | 2722 | [根据 ID 合并两个数组](/solution/2700-2799/2722.Join%20Two%20Arrays%20by%20ID/README.md)                                                              |      | 中等 |      |
-| 2723 | [添加两个 Promise 对象](/solution/2700-2799/2723.Add%20Two%20Promises/README.md)                                                                      |      | 简单 |      |
+| 2723 | [两个 Promise 对象相加](/solution/2700-2799/2723.Add%20Two%20Promises/README.md)                                                                      |      | 简单 |      |
 | 2724 | [排序方式](/solution/2700-2799/2724.Sort%20By/README.md)                                                                                              |      | 简单 |      |
 | 2725 | [间隔取消](/solution/2700-2799/2725.Interval%20Cancellation/README.md)                                                                                |      | 简单 |      |
 | 2726 | [使用方法链的计算器](/solution/2700-2799/2726.Calculator%20with%20Method%20Chaining/README.md)                                                        |      | 简单 |      |

solution/JAVASCRIPT_README.md

@@ -22,7 +22,7 @@ Press <kbd>Control</kbd> + <kbd>F</kbd>(or <kbd>Command</kbd> + <kbd>F</kbd> on
 | 2629 | [Function Composition](/solution/2600-2699/2629.Function%20Composition/README_EN.md)                                                                                                   |      | Easy       |        |
 | 2630 | [Memoize II](/solution/2600-2699/2630.Memoize%20II/README_EN.md)                                                                                                                       |      | Hard       |        |
 | 2631 | [Group By](/solution/2600-2699/2631.Group%20By/README_EN.md)                                                                                                                           |      | Medium     |        |
-| 2632 | [Curry](/solution/2600-2699/2632.Curry/README_EN.md)                                                                                                                                   |      | Medium     | 🔒     |
+| 2632 | [Curry](/solution/2600-2699/2632.Curry/README_EN.md)                                                                                                                                   |      | Hard       | 🔒     |
 | 2633 | [Convert Object to JSON String](/solution/2600-2699/2633.Convert%20Object%20to%20JSON%20String/README_EN.md)                                                                           |      | Medium     | 🔒     |
 | 2634 | [Filter Elements from Array](/solution/2600-2699/2634.Filter%20Elements%20from%20Array/README_EN.md)                                                                                   |      | Easy       |        |
 | 2635 | [Apply Transform Over Each Element in Array](/solution/2600-2699/2635.Apply%20Transform%20Over%20Each%20Element%20in%20Array/README_EN.md)                                             |      | Easy       |        |
@@ -34,7 +34,7 @@ Press <kbd>Control</kbd> + <kbd>F</kbd>(or <kbd>Command</kbd> + <kbd>F</kbd> on
 | 2665 | [Counter II](/solution/2600-2699/2665.Counter%20II/README_EN.md)                                                                                                                       |      | Easy       |        |
 | 2666 | [Allow One Function Call](/solution/2600-2699/2666.Allow%20One%20Function%20Call/README_EN.md)                                                                                         |      | Easy       |        |
 | 2667 | [Create Hello World Function](/solution/2600-2699/2667.Create%20Hello%20World%20Function/README_EN.md)                                                                                 |      | Easy       |        |
-| 2675 | [Array of Objects to Matrix](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README_EN.md)                                                                                 |      | Medium     | 🔒     |
+| 2675 | [Array of Objects to Matrix](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README_EN.md)                                                                                 |      | Hard       | 🔒     |
 | 2676 | [Throttle](/solution/2600-2699/2676.Throttle/README_EN.md)                                                                                                                             |      | Medium     | 🔒     |
 | 2677 | [Chunk Array](/solution/2600-2699/2677.Chunk%20Array/README_EN.md)                                                                                                                     |      | Easy       |        |
 | 2690 | [Infinite Method Object](/solution/2600-2699/2690.Infinite%20Method%20Object/README_EN.md)                                                                                             |      | Easy       | 🔒     |