fix: next links

NervJS · Feb 26, 2024 · 53bb27f · 53bb27f
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diff --git a/docs/optimized.mdx b/docs/optimized.mdx
@@ -115,7 +115,7 @@ component.setData({
 
 对于不支持模板递归的小程序（微信、QQ、京东小程序），在 DOM 层级达到一定数量后，Taro 会使用原生自定义组件协助递归。
 
-简单理解就是 DOM 结构超过 N 层后，会使用原生自定义组件进行渲染。N 默认是 16 层，可以通过修改配置项 [baseLevel](/docs/next/config-detail#minibaselevel) 修改 N。
+简单理解就是 DOM 结构超过 N 层后，会使用原生自定义组件进行渲染。N 默认是 16 层，可以通过修改配置项 [baseLevel](/docs/config-detail#minibaselevel) 修改 N。
 
 把 `baseLevel` 设置为 `8` 甚至 `4` 层，能非常有效地提升更新时的性能。但是设置是全局性的，会带来若干问题：
 

diff --git a/docusaurus.config.js b/docusaurus.config.js
@@ -55,7 +55,7 @@ const SCOPE_PLUGIN = {
 
 const siteConfig = {
   title: 'Taro 文档' /* title for your website */,
-  tagline: 'Taro 是一个开放式跨端跨框架解决方案，支持使用 React/Vue/Nerv 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5/React Native 等应用。',
+  tagline: 'Taro 是一个开放式跨端跨框架解决方案，支持使用 React/Vue/Nerv 等框架来开发微信/京东/百度/支付宝/字节跳动/QQ 小程序/H5/React Native 等应用。',
   url: url[BASE_DOMAIN], /* your website url */
   baseUrl: baseUrl[BASE_DOMAIN], /* base url for your project */
   onBrokenLinks: 'warn',

diff --git a/i18n/en/docusaurus-plugin-content-docs/current/optimized.mdx b/i18n/en/docusaurus-plugin-content-docs/current/optimized.mdx
@@ -38,7 +38,7 @@ There are two ways for developers to implement this optimization.
 
 For mini program that do not support template recursion (WeChat, QQ, Jingdong mini-program), Taro will use native custom components to assist recursion after the DOM level reaches a certain number.
 
-The simple understanding is that after the DOM structure exceeds N levels, the native custom component will be used for rendering. N is 16 levels by default, and can be changed by modifying the configuration item [baseLevel](/docs/next/config-detail#minibaselevel) to modify N.
+The simple understanding is that after the DOM structure exceeds N levels, the native custom component will be used for rendering. N is 16 levels by default, and can be changed by modifying the configuration item [baseLevel](/docs/config-detail#minibaselevel) to modify N.
 
 Setting `baseLevel` to `8` or even `4` layers can be very effective in improving performance during updates. However, the setting is global and can cause several problems.
 

diff --git a/i18n/en/docusaurus-plugin-content-docs/version-3.x/optimized.mdx b/i18n/en/docusaurus-plugin-content-docs/version-3.x/optimized.mdx
@@ -38,7 +38,7 @@ There are two ways for developers to implement this optimization.
 
 For mini program that do not support template recursion (WeChat, QQ, Jingdong mini-program), Taro will use native custom components to assist recursion after the DOM level reaches a certain number.
 
-The simple understanding is that after the DOM structure exceeds N levels, the native custom component will be used for rendering. N is 16 levels by default, and can be changed by modifying the configuration item [baseLevel](/docs/next/config-detail#minibaselevel) to modify N.
+The simple understanding is that after the DOM structure exceeds N levels, the native custom component will be used for rendering. N is 16 levels by default, and can be changed by modifying the configuration item [baseLevel](/docs/config-detail#minibaselevel) to modify N.
 
 Setting `baseLevel` to `8` or even `4` layers can be very effective in improving performance during updates. However, the setting is global and can cause several problems.
 

diff --git a/i18n/en/docusaurus-plugin-content-docs/version-4.x/optimized.mdx b/i18n/en/docusaurus-plugin-content-docs/version-4.x/optimized.mdx
@@ -38,7 +38,7 @@ There are two ways for developers to implement this optimization.
 
 For mini program that do not support template recursion (WeChat, QQ, Jingdong mini-program), Taro will use native custom components to assist recursion after the DOM level reaches a certain number.
 
-The simple understanding is that after the DOM structure exceeds N levels, the native custom component will be used for rendering. N is 16 levels by default, and can be changed by modifying the configuration item [baseLevel](/docs/next/config-detail#minibaselevel) to modify N.
+The simple understanding is that after the DOM structure exceeds N levels, the native custom component will be used for rendering. N is 16 levels by default, and can be changed by modifying the configuration item [baseLevel](/docs/config-detail#minibaselevel) to modify N.
 
 Setting `baseLevel` to `8` or even `4` layers can be very effective in improving performance during updates. However, the setting is global and can cause several problems.
 

diff --git a/packages/taro/types/compile/config/h5.d.ts b/packages/taro/types/compile/config/h5.d.ts
@@ -96,7 +96,7 @@ export interface IH5Config {
   /** 配置需要额外的经由 Taro 预设的 postcss 编译的模块 */
   esnextModules?: string[]
 
-  /** 用于控制在 H5 端是否使用兼容性组件库，详情请看 [React 兼容性组件库](https://taro-docs.jd.com/docs/next/h5#react-兼容性组件库)。(默认值：false) */
+  /** 用于控制在 H5 端是否使用兼容性组件库，详情请看 [React 兼容性组件库](https://taro-docs.jd.com/docs/h5#react-兼容性组件库)。(默认值：false) */
   useHtmlComponents?: boolean
 
   /** 用于控制在 H5 端是否使用旧版本适配器，旧版本采用全局注册组件，懒加载组件相关依赖；新版本适配器会自动注册相关组件，不再需要引入 @tarojs/components/loader 中的全局 defineCustomElements 方法。(默认值：false) */

diff --git a/packages/taro/types/compile/config/rn.d.ts b/packages/taro/types/compile/config/rn.d.ts
@@ -20,7 +20,7 @@ export interface IRNConfig {
   /** [less](https://lesscss.org/usage/#less-options) 相关配置 */
   less?: IOption
 
-  /** [stylus](https://github.com/NervJS/taro/blob/next/packages/taro-rn-style-transformer/README.md#rnstylus) 相关配置 */
+  /** [stylus](https://github.com/NervJS/taro/blob/main/packages/taro-rn-style-transformer/README.md#rnstylus) 相关配置 */
   stylus?: IOption
 
   /** 配置 postcss 相关插件 */

diff --git a/versioned_docs/version-3.x/optimized.mdx b/versioned_docs/version-3.x/optimized.mdx
@@ -115,7 +115,7 @@ component.setData({
 
 对于不支持模板递归的小程序（微信、QQ、京东小程序），在 DOM 层级达到一定数量后，Taro 会使用原生自定义组件协助递归。
 
-简单理解就是 DOM 结构超过 N 层后，会使用原生自定义组件进行渲染。N 默认是 16 层，可以通过修改配置项 [baseLevel](/docs/next/config-detail#minibaselevel) 修改 N。
+简单理解就是 DOM 结构超过 N 层后，会使用原生自定义组件进行渲染。N 默认是 16 层，可以通过修改配置项 [baseLevel](/docs/config-detail#minibaselevel) 修改 N。
 
 把 `baseLevel` 设置为 `8` 甚至 `4` 层，能非常有效地提升更新时的性能。但是设置是全局性的，会带来若干问题：