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evcxr | bincode | |
---|---|---|
75 | 16 | |
5,131 | 2,499 | |
2.2% | 3.3% | |
8.7 | 6.9 | |
23 days ago | 3 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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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A Case for Rust in Deep Learning
I think you might like this project: https://github.com/google/evcxr . It brings the REPL workflow to Rust, so having fast iteration should not be an issue.
bincode
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Hey Rustaceans! Got a question? Ask here (14/2023)!
Ermm... actually I meant something like this: playground, but then I realized it's basically (de)serialization, and I just found that we already have a crate for that: bincode.
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Convert a base-64 encoded, serialised, Rust struct to a Python class
One, figure out the bincode format (documented here: https://github.com/bincode-org/bincode/blob/trunk/docs/spec.md) and write your own parser. Maybe a one-off that specifically only handles this one data structure would be fairly straightforward.
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impl serde::Deserialize... is it really that complicated?
Step 1: The Deserialize type requests data from the Deserializer with one of the deserialize_type methods. This gives it an opportunity to provide certain metadata about the type: structs provide a list of fields, enums provide a list of variants, tuples provide a length, etc. Some data formats (notably bincode) require this metadata to drive deserializing, as the wire format is not self-describing. Crucially, the Deserialize type also provides a visitor that is capable of receiving the requested data from the Deserializer.
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A nicer way to pack this message?
Alternatively, give Bincode a try.
If you can use std, have you had a look at the crate [bincode](https://crates.io/crates/bincode)? If you can't use std, I've found the crate [bincode-nostd](https://crates.io/crates/bincode-no-std) which is old but maybe you can find something similar and more recent?
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Hey Rustaceans! Got an easy question? Ask here (9/2022)!
Like separate instructions? I was thinking if a instruction have unknown length I make sure I have some kind of header field that tells the data length of the instruction so receiver knows when next instruction starts. And I was planning on using Bincode with serde to serialize and dezerialize like structs and stuff.
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Easily converts a struct into Vec<u8> and back.
Isn't this essentially bincode?
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Does rust have function works like eval?
This is similar in practice to using abi_stable, and end-users will still receive compiled files, but your plugins will be sandboxed and a single build will work on all platforms. The downside is that it's a bit more work because WebAssembly's support for passing complex data types between the host and the WebAssembly code is in the preliminary stages, so you need to do something like using Serde to encode your data into something like Bincode or MessagePack (or JSON and friends) to hand it off between the host and the plugin.
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Netcode & ECS data organization
The network manager handles serializing it into a binary format (using the bincode crate https://crates.io/crates/bincode), sending it out to other clients on a separate IO thread etc. I'm not exactly sure how bincode handles the serializations, but it allows me to automatically derive ways for a struct (in this case, Snapshot) to be serialized and desterilized to/from raw bytes which can be sent/received over the network.
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If you could re-design Rust from scratch today, what would you change?
I've built type-specific hacks to avoid this which produce up to 50% runtime improvements. Latest one is in this PR: https://github.com/bincode-org/bincode/pull/337. The standard library should provide a way to sidestep the copy through a pointer. Useful BufRead/BufWrite traits would be a good start.
What are some alternatives?
serde - Serialization framework for Rust
msgpack-rust - MessagePack implementation for Rust / msgpack.org[Rust]
vscode-jupyter - VS Code Jupyter extension
PyO3 - Rust bindings for the Python interpreter
rust-cbor - CBOR (binary JSON) for Rust with automatic type based decoding and encoding.
nue - I/O and binary data encoding for Rust
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
jupyter-rust - a docker container for jupyter notebooks for rust
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
cargo-script - Cargo script subcommand
vim-slime - A vim plugin to give you some slime. (Emacs)
iron.nvim - Interactive Repl Over Neovim