diff --git a/.github/workflows/pretter-lint.yml b/.github/workflows/pretter-lint.yml
deleted file mode 100644
index e4d2fb03c592c..0000000000000
--- a/.github/workflows/pretter-lint.yml
+++ /dev/null
@@ -1,22 +0,0 @@
-name: prettier-linter
-
-on:
- push: {}
- pull_request: {}
-
-jobs:
- prettier:
- runs-on: ubuntu-latest
-
- steps:
- - name: Checkout
- uses: actions/checkout@v4
- with:
- ref: ${{ github.head_ref }}
- fetch-depth: 0
-
- - name: Prettify code
- uses: creyD/prettier_action@v4.3
- with:
- prettier_options: --write **/*.{md,js,ts}
- only_changed: True
\ No newline at end of file
diff --git a/solution/2800-2899/2877.Create a DataFrame from List/README.md b/solution/2800-2899/2877.Create a DataFrame from List/README.md
index 613e740a9d9ea..e80f1bfe99b57 100644
--- a/solution/2800-2899/2877.Create a DataFrame from List/README.md
+++ b/solution/2800-2899/2877.Create a DataFrame from List/README.md
@@ -6,7 +6,7 @@
<!-- 这里写题目描述 -->
-<p>编写一个解决方案，从名为 <code>student_data</code> 的二维列表 <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 <code>student_data</code> 的二维列表 <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， <code>student_id</code> 和 <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
diff --git a/solution/2800-2899/2878.Get the Size of a DataFrame/README.md b/solution/2800-2899/2878.Get the Size of a DataFrame/README.md
index 363c9beb038c9..4111d79eb677f 100644
--- a/solution/2800-2899/2878.Get the Size of a DataFrame/README.md
+++ b/solution/2800-2899/2878.Get the Size of a DataFrame/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 <code>players</code> 的 <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> </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
diff --git a/solution/2800-2899/2879.Display the First Three Rows/README.md b/solution/2800-2899/2879.Display the First Three Rows/README.md
index 6e5cbb2f7cfcf..c6173d2b1c480 100644
--- a/solution/2800-2899/2879.Display the First Three Rows/README.md
+++ b/solution/2800-2899/2879.Display the First Three Rows/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 <code>3</code> </strong>行。</p>
<p> </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 |
@@ -36,7 +37,7 @@ DataFrame: <code>employees</code>
| 49 | Jonathan | HumanResources | 23793 |
| 43 | Khaled | Administration | 40454 |
+-------------+-----------+-----------------------+--------+
-<strong>Output:</strong>
+<b>输出：</b>
+-------------+---------+-------------+--------+
| employee_id | name | department | salary |
+-------------+---------+-------------+--------+
@@ -44,8 +45,8 @@ DataFrame: <code>employees</code>
| 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
diff --git a/solution/2800-2899/2880.Select Data/README.md b/solution/2800-2899/2880.Select Data/README.md
index 82c36ed2f1716..aa70284dbaa9b 100644
--- a/solution/2800-2899/2880.Select Data/README.md
+++ b/solution/2800-2899/2880.Select Data/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 <code>student_id = 101</code> 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> </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
diff --git a/solution/2800-2899/2881.Create a New Column/README.md b/solution/2800-2899/2881.Create a New Column/README.md
index f821932e9de3c..9fbc58b838651 100644
--- a/solution/2800-2899/2881.Create a New Column/README.md
+++ b/solution/2800-2899/2881.Create a New Column/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
diff --git a/solution/2800-2899/2889.Reshape Data Pivot/README.md b/solution/2800-2899/2889.Reshape Data Pivot/README.md
index e53377ebe74c5..ea74b85951689 100644
--- a/solution/2800-2899/2889.Reshape Data Pivot/README.md
+++ b/solution/2800-2899/2889.Reshape Data Pivot/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 <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> </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
diff --git a/solution/2800-2899/2891.Method Chaining/README.md b/solution/2800-2899/2891.Method Chaining/README.md
index a96a6ae67c944..4da0cb5c9db3a 100644
--- a/solution/2800-2899/2891.Method Chaining/README.md
+++ b/solution/2800-2899/2891.Method Chaining/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 </strong> <code>100</code> 千克的动物的名称。</p>
-<p>Return the 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> </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's weight is 464, Jonathan's weight is 463, Tommy's weight is 349, and Alex'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> </p>
-<p>In Pandas, <strong>method chaining</strong> enables us to perform operations on a DataFrame without breaking up each operation into a separate line or creating multiple temporary variables. </p>
-<p>Can you complete this 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
diff --git a/solution/JAVASCRIPT_README.md b/solution/JAVASCRIPT_README.md
index 9cc66a240364e..f8d07d4d6c519 100644
--- a/solution/JAVASCRIPT_README.md
+++ b/solution/JAVASCRIPT_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 | |
diff --git a/solution/JAVASCRIPT_README_EN.md b/solution/JAVASCRIPT_README_EN.md
index 9097f297157b7..f52785b99c9d9 100644
--- a/solution/JAVASCRIPT_README_EN.md
+++ b/solution/JAVASCRIPT_README_EN.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 | 🔒 |
diff --git a/solution/README.md b/solution/README.md
index f06860479f5f7..88bad520d9390 100644
--- a/solution/README.md
+++ b/solution/README.md
@@ -2888,9 +2888,9 @@
| 2875 | [无限数组的最短子数组](/solution/2800-2899/2875.Minimum%20Size%20Subarray%20in%20Infinite%20Array/README.md) | `数组`,`哈希表`,`前缀和`,`滑动窗口` | 中等 | 第 365 场周赛 |
| 2876 | [有向图访问计数](/solution/2800-2899/2876.Count%20Visited%20Nodes%20in%20a%20Directed%20Graph/README.md) | `图`,`记忆化搜索`,`动态规划` | 困难 | 第 365 场周赛 |
| 2877 | [从表中创建 DataFrame](/solution/2800-2899/2877.Create%20a%20DataFrame%20from%20List/README.md) | | 简单 | |
-| 2878 | [Get the Size of a DataFrame](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README.md) | | 简单 | |
-| 2879 | [Display the First Three Rows](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README.md) | | 简单 | |
-| 2880 | [Select Data](/solution/2800-2899/2880.Select%20Data/README.md) | | 简单 | |
+| 2878 | [获取 DataFrame 的大小](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README.md) | | 简单 | |
+| 2879 | [显示前三行](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README.md) | | 简单 | |
+| 2880 | [数据选取](/solution/2800-2899/2880.Select%20Data/README.md) | | 简单 | |
| 2881 | [创建新列](/solution/2800-2899/2881.Create%20a%20New%20Column/README.md) | | 简单 | |
| 2882 | [删去重复的行](/solution/2800-2899/2882.Drop%20Duplicate%20Rows/README.md) | | 简单 | |
| 2883 | [删去丢失的数据](/solution/2800-2899/2883.Drop%20Missing%20Data/README.md) | | 简单 | |
@@ -2899,9 +2899,9 @@
| 2886 | [改变数据类型](/solution/2800-2899/2886.Change%20Data%20Type/README.md) | | 简单 | |
| 2887 | [填充缺失值](/solution/2800-2899/2887.Fill%20Missing%20Data/README.md) | | 简单 | |
| 2888 | [重塑数据：连结](/solution/2800-2899/2888.Reshape%20Data%20Concatenate/README.md) | | 简单 | |
-| 2889 | [Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md) | | 简单 | |
+| 2889 | [数据重塑：透视](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md) | | 简单 | |
| 2890 | [重塑数据：融合](/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md) | | 简单 | |
-| 2891 | [Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README.md) | | 简单 | |
+| 2891 | [方法链](/solution/2800-2899/2891.Method%20Chaining/README.md) | | 简单 | |
| 2892 | [将相邻元素相乘后得到最小化数组](/solution/2800-2899/2892.Minimizing%20Array%20After%20Replacing%20Pairs%20With%20Their%20Product/README.md) | | 中等 | 🔒 |
| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md) | | 中等 | 🔒 |
| 2894 | [分类求和并作差](/solution/2800-2899/2894.Divisible%20and%20Non-divisible%20Sums%20Difference/README.md) | | 简单 | 第 366 场周赛 |
diff --git a/solution/javascript-summary.md b/solution/javascript-summary.md
index 6a80917a7042a..55e6891c468f4 100644
--- a/solution/javascript-summary.md
+++ b/solution/javascript-summary.md
@@ -24,7 +24,7 @@
- [2649.嵌套数组生成器](/javascript-solution/2600-2699/2649.Nested%20Array%20Generator/README.md)
- [2650.设计可取消函数](/javascript-solution/2600-2699/2650.Design%20Cancellable%20Function/README.md)
- [2665.计数器 II](/javascript-solution/2600-2699/2665.Counter%20II/README.md)
- - [2666.只允许一次函数调用](/javascript-solution/2600-2699/2666.Allow%20One%20Function%20Call/README.md)
+ - [2666.只允许一次函数调用 44](/javascript-solution/2600-2699/2666.Allow%20One%20Function%20Call/README.md)
- [2667.创建 Hello World 函数](/javascript-solution/2600-2699/2667.Create%20Hello%20World%20Function/README.md)
- [2675.将对象数组转换为矩阵](/javascript-solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README.md)
- [2676.节流](/javascript-solution/2600-2699/2676.Throttle/README.md)
@@ -42,7 +42,7 @@
- [2715.执行可取消的延迟函数](/javascript-solution/2700-2799/2715.Timeout%20Cancellation/README.md)
- [2721.并行执行异步函数](/javascript-solution/2700-2799/2721.Execute%20Asynchronous%20Functions%20in%20Parallel/README.md)
- [2722.根据 ID 合并两个数组](/javascript-solution/2700-2799/2722.Join%20Two%20Arrays%20by%20ID/README.md)
- - [2723.添加两个 Promise 对象](/javascript-solution/2700-2799/2723.Add%20Two%20Promises/README.md)
+ - [2723.两个 Promise 对象相加](/javascript-solution/2700-2799/2723.Add%20Two%20Promises/README.md)
- [2724.排序方式](/javascript-solution/2700-2799/2724.Sort%20By/README.md)
- [2725.间隔取消](/javascript-solution/2700-2799/2725.Interval%20Cancellation/README.md)
- [2726.使用方法链的计算器](/javascript-solution/2700-2799/2726.Calculator%20with%20Method%20Chaining/README.md)
diff --git a/solution/main.py b/solution/main.py
index f2f8745ee1b91..2bd612ecb78f6 100644
--- a/solution/main.py
+++ b/solution/main.py
@@ -413,10 +413,19 @@ def run():
# 生成周赛题目列表
generate_contest_readme(cls)
+ # 生成分类题目列表
+ generate_category_readme(ls, "Database")
+ generate_category_readme(ls, "JavaScript")
+ generate_category_summary(ls, "Database")
+ generate_category_summary(ls, "JavaScript")
+
# 刷新题目文件
if refresh_all:
refresh(ls)
+ # 格式化
+ os.system('cd .. && npx prettier --write "**/*.{md,js,ts,php,sql}"')
+
if __name__ == "__main__":
run()
diff --git a/solution/summary.md b/solution/summary.md
index 8205b683e8454..2c9bb04e7288b 100644
--- a/solution/summary.md
+++ b/solution/summary.md
@@ -2933,9 +2933,9 @@
- [2875.无限数组的最短子数组](/solution/2800-2899/2875.Minimum%20Size%20Subarray%20in%20Infinite%20Array/README.md)
- [2876.有向图访问计数](/solution/2800-2899/2876.Count%20Visited%20Nodes%20in%20a%20Directed%20Graph/README.md)
- [2877.从表中创建 DataFrame](/solution/2800-2899/2877.Create%20a%20DataFrame%20from%20List/README.md)
- - [2878.Get the Size of a DataFrame](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README.md)
- - [2879.Display the First Three Rows](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README.md)
- - [2880.Select Data](/solution/2800-2899/2880.Select%20Data/README.md)
+ - [2878.获取 DataFrame 的大小](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README.md)
+ - [2879.显示前三行](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README.md)
+ - [2880.数据选取](/solution/2800-2899/2880.Select%20Data/README.md)
- [2881.创建新列](/solution/2800-2899/2881.Create%20a%20New%20Column/README.md)
- [2882.删去重复的行](/solution/2800-2899/2882.Drop%20Duplicate%20Rows/README.md)
- [2883.删去丢失的数据](/solution/2800-2899/2883.Drop%20Missing%20Data/README.md)
@@ -2944,9 +2944,9 @@
- [2886.改变数据类型](/solution/2800-2899/2886.Change%20Data%20Type/README.md)
- [2887.填充缺失值](/solution/2800-2899/2887.Fill%20Missing%20Data/README.md)
- [2888.重塑数据：连结](/solution/2800-2899/2888.Reshape%20Data%20Concatenate/README.md)
- - [2889.Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md)
+ - [2889.数据重塑：透视](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md)
- [2890.重塑数据：融合](/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md)
- - [2891.Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README.md)
+ - [2891.方法链](/solution/2800-2899/2891.Method%20Chaining/README.md)
- [2892.将相邻元素相乘后得到最小化数组](/solution/2800-2899/2892.Minimizing%20Array%20After%20Replacing%20Pairs%20With%20Their%20Product/README.md)
- [2893.Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)
- [2894.分类求和并作差](/solution/2800-2899/2894.Divisible%20and%20Non-divisible%20Sums%20Difference/README.md)