Preserve annotations and inferred types when generating stubs

オープン
#3,475 コメント 3 件 リアクション 0 件 担当者 0 名 GitHub で見る

まだ誰も着手していません。

評価

難易度
5/5
見積もり時間
1週間以上
初心者へのやさしさ
25/100
issue の種類
機能追加
明瞭さ
説明が足りない
活発さ
停滞
技術スタック
python
領域
tooling

調査の方向性

Start by examining stubgen and the mypy AST flow for a target module or package. Determine how an equivalent mypy run could provide inferred types and how generated stubs would handle Python versions and platform-specific definitions. Done means producing annotated stubs that preserve explicit and inferred types, with the platform and version behavior resolved.

索引モデルが issue の本文から書いたものです。

説明

needs discussion topic-stubgen

If a user maintains a 3rd party library module that is type checked using mypy, there is no easy to way to automatically generate annotated typeshed stubs for that library, even though this could be pretty useful. We could perhaps extend stubgen to do this job.

Here's how this could work internally:

  • Do the equivalent of a mypy run against a target module/package.
  • Generate stubs based on the mypy AST, including inferred types.

The main difference from previous stubgen related proposals would be the inclusion of inferred types in the stubs. For example, consider this program:

x = 0
a = [x]

The generated stub could look like this:

from typing import List

x: int
a: List[int]

Here are a few things that complicate this task:

  • It may be hard to generate stubs that work with both Python 2 and 3. However, maybe it's okay to generate separate stubs for 2 and 3, since the stubs hopefully won't need a lot of manual review as they are automatically generated.
  • It may be hard to include platform-specific definitions. One approach would be to generate separate ASTs for all supported platforms and somehow merge them, generating conditional platform checks automatically.
主要言語
Python
スター
20.6k
フォーク
3.3k
平均マージ
1日 18時間
マージ済み PR(30日)
54

コントリビューションガイド

コントリビューションガイドを開く

はじめの一歩

  1. issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
  2. 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
  3. リポジトリをフォークし、ブランチを切って変更します。
  4. issue 番号を参照したプルリクエストを送ります。

python/mypy のほかの issue

python/mypy の issue をすべて見る

似ている issue

Python の issue をもっと見る

新しい issue をメールで受け取る

初心者向けの GitHub issue を短くまとめたダイジェスト。