config.nvim
evcxr
| config.nvim | evcxr | |
|---|---|---|
| 2 | 75 | |
| 5 | 5,246 | |
| - | 2.1% | |
| 7.4 | 8.6 | |
| 8 months ago | about 1 month ago | |
| Lua | Rust | |
| - | GNU General Public License v3.0 or later |
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config.nvim
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what do you guys use treesitter for?
For cool snippets. For example in C++, if I'm in a class "Foo" and I expand the snippet "cassd" (const assignment definition), it generates "Foo& operator=(Foo const& other);" (see config).
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Share your most advanced (Lua)Snippets
The first is a collection of snippets for C++ that generate the declarations or definitions of the special member functions (move constructor etc.). The snippet uses treesitter to determine whether we are currently inside of a class or not. If we are inside of a class, it automatically gets the correct name of the surrounding class (without templates) and uses that to generate the member function. If we are outside of a class, you have to type in the name but it will still correctly strip templates in the right places with a simple regex. Showcase. Code.
evcxr
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Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.
The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.
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Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
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The Hallucinated Rows Incident
The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
- Go 1.21 will (likely) have a static toolchain on Linux
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What’s an actual use case for Rust
In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).
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would you use rust for scripting?
You should check out evcxr
- Nannou – An open-source creative-coding framework for Rust
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Rust vs. Haskell
There is also implementations of rust REPLs, like the beautifully named evcxr.
What are some alternatives?
neotest - An extensible framework for interacting with tests within NeoVim.
vscode-jupyter - VS Code Jupyter extension
perfanno.nvim - NeoVim lua plugin that annotates source code with profiling information from perf or other profilers
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
LuaSnip - Snippet Engine for Neovim written in Lua.
jupyter-rust - a docker container for jupyter notebooks for rust
ultisnips - UltiSnips - The ultimate snippet solution for Vim. Send pull requests to SirVer/ultisnips!
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
bincode - A binary encoder / decoder implementation in Rust.
cargo-script - Cargo script subcommand
iron.nvim - Interactive Repl Over Neovim
vim-slime - A vim plugin to give you some slime. (Emacs)