freezed
julia
freezed | julia | |
---|---|---|
43 | 350 | |
1,815 | 44,534 | |
- | 0.5% | |
9.0 | 10.0 | |
6 days ago | 4 days ago | |
Dart | Julia | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
freezed
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Dart 3.3
There is the `sealed` class modifier which allows for exhaustive matching on possible types: https://dart.dev/language/class-modifiers#sealed
There's also a package called freezed which offers similar utility (you might already be familiar with this seeing as you mentioned pattern matching): https://pub.dev/packages/freezed
I recall there being a reason unions aren't generally implemented, though I'm not sure where I read it. It was to do with union types being unnecessarily complex for the compiler and the code they tend to produce, at no real benefit to the programmer or the resulting program. Go's lack of unions is essentially based around the same reasoning.
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Fluvera is a Flutter SDUI package designed to simplify the process of building user interfaces (UIs) based on JSON server responses.
Interesting. May I ask how this differs from something like Freezed https://pub.dev/packages/freezed and its from/ToJson features ? I haven't used it yet, but I'm just curious about the concept and use of these sort of packages.
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Dart 3.0: Best New Features & Why You Should Care
The official site does show what you can use it for but to explain a bit more, it helps you work faster.
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๐ Introducing MODDDELS: A Powerful Package for Robust, Self-Validated Models in Flutter & Dart
One rather minor suggestion: it took me a while to understand exactly what the benefits were, but the example shown on this page of the docs summarized it well. I would suggest showing an example like that at the top of the main Readme and first page of the site, before or right after the motivation section, similar to how Freezed immediately shows its value proposition.
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Maximizing Your Flutter App's Performance with (Async)NotifierProvider, Freezed & Riverpod Code Generators
Read more on what you can do with Freezed.
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Class Constructor Plugins- Are there any?
freezed on pub.dev
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Firestore partial doc updates and type safety
We use freezed for our models, and then use withConverter in the firestore SDK to easily translate between firestore and our models... however we run into issues with concurrent updates to documents.
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๐ Building a Fullstack App with dart_frog and Flutter in a Monorepo - Part 2
Once the package has been created, we will install freezed for JSON serialization and value equality , as this library provides helpful tools for these tasks. We will use json_serializable for JSON serialization. To install freezed and freezed_annotation, open your terminal inside the models package and use the command:
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Flutter Production Boilerplate and tutorials on Medium
Data class: freezed
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Is 'Freezed' code generator worth the boilerplate?
I've recently been exploring a codebase which is heavily using Freezed with Bloc. The resulting code base is almost an entirely different language altogether, and comes with almost triple the files of a non-freezed codebase.
julia
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Top Paying Programming Technologies 2024
34. Julia - $74,963
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Optimize sgemm on RISC-V platform
I don't believe there is any official documentation on this, but https://github.com/JuliaLang/julia/pull/49430 for example added prefetching to the marking phase of a GC which saw speedups on x86, but not on M1.
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Dart 3.3
3. dispatch on all the arguments
the first solution is clean, but people really like dispatch.
the second makes calling functions in the function call syntax weird, because the first argument is privileged semantically but not syntactically.
the third makes calling functions in the method call syntax weird because the first argument is privileged syntactically but not semantically.
the closest things to this i can think of off the top of my head in remotely popular programming languages are: nim, lisp dialects, and julia.
nim navigates the dispatch conundrum by providing different ways to define free functions for different dispatch-ness. the tutorial gives a good overview: https://nim-lang.org/docs/tut2.html
lisps of course lack UFCS.
see here for a discussion on the lack of UFCS in julia: https://github.com/JuliaLang/julia/issues/31779
so to sum up the answer to the original question: because it's only obvious how to make it nice and tidy like you're wanting if you sacrifice function dispatch, which is ubiquitous for good reason!
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Julia 1.10 Highlights
https://github.com/JuliaLang/julia/blob/release-1.10/NEWS.md
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Best Programming languages for Data Analysis๐
Visit official site: https://julialang.org/
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Potential of the Julia programming language for high energy physics computing
No. It runs natively on ARM.
julia> versioninfo() Julia Version 1.9.3 Commit bed2cd540a1 (2023-08-24 14:43 UTC) Build Info: Official https://julialang.org/ release
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Rust std:fs slower than Python
https://github.com/JuliaLang/julia/issues/51086#issuecomment...
So while this "fixes" the issue, it'll introduce a confusing time delay between you freeing the memory and you observing that in `htop`.
But according to https://jemalloc.net/jemalloc.3.html you can set `opt.muzzy_decay_ms = 0` to remove the delay.
Still, the musl author has some reservations against making `jemalloc` the default:
https://www.openwall.com/lists/musl/2018/04/23/2
> It's got serious bloat problems, problems with undermining ASLR, and is optimized pretty much only for being as fast as possible without caring how much memory you use.
With the above-mentioned tunables, this should be mitigated to some extent, but the general "theme" (focusing on e.g. performance vs memory usage) will likely still mean "it's a tradeoff" or "it's no tradeoff, but only if you set tunables to what you need".
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Eleven strategies for making reproducible research the norm
I have asked about Julia's reproducibility story on the Guix mailing list in the past, and at the time Simon Tournier didn't think it was promising. I seem to recall Julia itself didnt have a reproducible build. All I know now is that github issue is still not closed.
https://github.com/JuliaLang/julia/issues/34753
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Julia as a unifying end-to-end workflow language on the Frontier exascale system
I don't really know what kind of rebuttal you're looking for, but I will link my HN comments from when this was first posted for some thoughts: https://news.ycombinator.com/item?id=31396861#31398796. As I said, in the linked post, I'm quite skeptical of the business of trying to assess relative buginess of programming in different systems, because that has strong dependencies on what you consider core vs packages and what exactly you're trying to do.
However, bugs in general suck and we've been thinking a fair bit about what additional tooling the language could provide to help people avoid the classes of bugs that Yuri encountered in the post.
The biggest class of problems in the blog post, is that it's pretty clear that `@inbounds` (and I will extend this to `@assume_effects`, even though that wasn't around when Yuri wrote his post) is problematic, because it's too hard to write. My proposal for what to do instead is at https://github.com/JuliaLang/julia/pull/50641.
Another common theme is that while Julia is great at composition, it's not clear what's expected to work and what isn't, because the interfaces are informal and not checked. This is a hard design problem, because it's quite close to the reasons why Julia works well. My current thoughts on that are here: https://github.com/Keno/InterfaceSpecs.jl but there's other proposals also.
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Getaddrinfo() on glibc calls getenv(), oh boy
Doesn't musl have the same issue? https://github.com/JuliaLang/julia/issues/34726#issuecomment...
I also wonder about OSX's libc. Newer versions seem to have some sort of locking https://github.com/apple-open-source-mirror/Libc/blob/master...
but older versions (from 10.9) don't have any lockign: https://github.com/apple-oss-distributions/Libc/blob/Libc-99...
What are some alternatives?
json_serializable.dart - Generates utilities to aid in serializing to/from JSON.
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
bloc - A predictable state management library that helps implement the BLoC design pattern
NetworkX - Network Analysis in Python
flutter_gen - The Flutter code generator for your assets, fonts, colors, โฆ โ Get rid of all String-based APIs.
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
flutter-fake-data-factory-pattern
Numba - NumPy aware dynamic Python compiler using LLVM
language - Design of the Dart language
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp