fix/export star in dependence loop

[stormslowly]

close #1272

1. 原先通过逆拓扑序逐层计算所有的模块的导出符号，然后计算出 export * 对应的导出符号是没有必要的；因为如果一个模块没有 export * 语法 ，那么其导出了什么仅语法分析就能直接完成，不需要计算依赖的导出
2. 如果模块在 export * 在环上，并不表示 export * 的结果不能计算，因为仅通过 export * from 连接起来的模块不一定成为一个环。
3. 即使 export * from 成为了环，只有要收集完所有在环上模块的 export 语法也能确定 export * 语句导出了多少符号，就能知道export * 的导出。

所以不再计算所有模块的导出符号，仅从 export * 语句出发，递归的计算这条语句的导出符号即可。

另外因为存在 export * 成环，那么一个符号可能来自两条语句，所以匹配到所有的导出后对这些语句都做 used 处理。
见新增用例。

Summary by CodeRabbit

• 新功能
  • 在shake.rs中添加了HashMap和HashSet的导入。
  • 通过将逻辑提取到新函数fill_all_export_start_export_info来修改函数optimize_farm。
  • 调整导出和依赖处理逻辑。
  • 添加AllExports结构及相关导出处理功能。
  • 添加collect_all_exports_of函数用于递归收集导出。

[coderabbitai]

Walkthrough

整体变更包括增加了对Farm Tree Shake插件的功能改进，包括导出处理和优化逻辑的调整，以及针对不同模块的功能性新增和修改。

Changes

文件	摘要
crates/mako/src/plugins/farm_tree_shake/module.rs	对AllExports枚举实现增加Default trait，引入新方法如extends和as_ambiguous，调整TreeShakeModule结构体中的方法
crates/mako/src/plugins/farm_tree_shake/statement_graph.rs	新增ExportSource枚举和相关转换实现，修改ExportInfoMatch枚举
e2e/fixtures/tree-shaking.export_start_loop/expect.js	新增injectSimpleJest和parseBuildResult函数声明
e2e/fixtures/tree-shaking.export_start_loop/index.js	引入对l1.js中a的导入
e2e/fixtures/tree-shaking.export_start_loop/l1.js	导出所有l2.js的实体和常量a
e2e/fixtures/tree-shaking.export_start_loop/l2.js	导出所有l1.js的实体和常量b
e2e/fixtures/tree-shaking.export_start_loop/mako.config.json	配置入口点为index.js和模块合并选项

文件	摘要
crates/mako/src/plugins/farm_tree_shake/shake.rs	导入HashMap和HashSet，重构optimize_farm函数，新增fill_all_export_start_export_info函数和相关调整，添加AllExports结构体和collect_all_exports_of函数

Poem

公告变更，林中振兮，草木含翠；情感加深，编程思路开拓，历经变革之风。 🌿🐇

---

Note

Summarized by CodeRabbit Free

Your organization is on the Free plan. CodeRabbit will generate a high-level summary and a walkthrough for each pull request. For a comprehensive line-by-line review, please upgrade your subscription to CodeRabbit Pro by visiting https://coderabbit.ai

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.