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README.md
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README.md
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@ -16,7 +16,7 @@
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pip install pylyzer
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```
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### cargo (rust package manager)
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### cargo (Rust package manager)
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```bash
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cargo install pylyzer --locked
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cargo install --path . --locked
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```
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Make sure that `cargo/rustc` is up-to-date, as pylyzer may be written with the latest language features.
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Make sure that `cargo`/`rustc` is up-to-date, as pylyzer may be written with the latest (stable) language features.
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### [GitHub Releases](https://github.com/mtshiba/pylyzer/releases/latest)
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@ -69,10 +69,10 @@ You can install the VSCode extension from the [Marketplace](https://marketplace.
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code --install-extension pylyzer.pylyzer
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```
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## What is the difference from [Ruff](https://github.com/charliermarsh/ruff)?
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## What is the difference from [Ruff](https://github.com/astral-sh/ruff)?
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[Ruff](https://github.com/charliermarsh/ruff), like pylyzer, is a static code analysis tool for Python written in Rust, but Ruff is a linter and pylyzer is a type checker & language server.
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pylyzer does not perform linting, and Ruff does not perform type checking.
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[Ruff](https://github.com/astral-sh/ruff), like pylyzer, is a static code analysis tool for Python written in Rust, but Ruff is a linter and pylyzer is a type checker & language server.
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pylyzer does not perform linting & formatting, and Ruff does not perform type checking.
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## How it works
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* [x] `list`
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* [x] `dict`
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* [x] `tuple`
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* [x] `set`
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* [ ] `typing`
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* [x] `Union`
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* [x] `Optional`
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* [x] type parameter syntax
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* [x] type narrowing
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* [ ] others
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* `collections.abc`
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* [ ] `collections.abc`
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* [x] `Iterable`
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* [x] `Iterator`
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* [x] `Mapping`
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* [ ] `pyi` (stub) files support
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* [ ] glob pattern file check
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## Join us!
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We are looking for contributors to help us improve pylyzer. If you are interested in contributing and have any questions, please feel free to contact us.
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* [Discord (Erg language)](https://discord.gg/kQBuaSUS46)
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* [#pylyzer](https://discord.com/channels/1006946336433774742/1056815981168697354)
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* [GitHub discussions](https://github.com/mtshiba/pylyzer/discussions)
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---
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<span id="1" style="font-size:x-small"><sup>1</sup> The performance test was conducted on MacBook (Early 2016) with 1.1 GHz Intel Core m3 processor and 8 GB 1867 MHz LPDDR3 memory.[↩](#f1)</span>
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