Checker Framework
ixy-languages
Our great sponsors
Checker Framework | ixy-languages | |
---|---|---|
12 | 30 | |
976 | 2,108 | |
0.6% | 0.4% | |
9.7 | 0.0 | |
7 days ago | over 1 year ago | |
Java | TeX | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" 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.
Checker Framework
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What if null was an Object in Java?
I’m not familiar enough with kotlin to comment fully but from your description the checker framework [0] appears to do the same thing in Java.
I confess I’m not fond of checker framework. I find the error messages can be obtuse but it is very effective.
0 - https://checkerframework.org/
- @Nullable et @NonNull
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Too Dangerous for C++
It is interesting! I experimented with creating a bad borrow checker for Java using annotations from
https://checkerframework.org/
It supports some level of substructural types using must-call annotations,
https://checkerframework.org/manual/#resource-leak-checker
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JEP 457: Class-File API for Parsing, generating, transforming
Lombok is not a compiler extension. Compiler extensions, aka annotation processors, are offered only specific capabilities that ensure that they preserve the Java language specification. Particularly, code that compiles successfully with an extension also compiles without it (perhaps requiring other classes to be available) and it compiles down to the same bytecode. Annotation processors are used to implement pluggable type systems (e.g. https://checkerframework.org) or to generate other classes (e.g. https://immutables.github.io/).
Unlike compiler extensions, Lombok compiles source files that do not conform to the Java language specification. Lombok is an alternative Java Platform language, like Clojure or Kotlin or Scala, except that it's a superset of the Java language. However, rather than forking `javac` source code and modifying it to compile Lombok source files, the Lombok compiler modifies `javac`'s operation by hacking into its internals and modifying them as it runs to compile Lombok sources rather than Java sources.
Having alternative Java Platform languages is perfectly fine. The problem with Lombok is that it doesn't present itself as such but as a library or a compiler extension even though it violates the Java language specification in ways that compiler extensions are forbidden from doing.
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I introduced Rust at work
And then I found (thanks Oracle), https://checkerframework.org/ zomg, this thing is awesome. Pluggable Type Systems!
- Checker Framework - Pluggable type systems for Java
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Don’t call it a comeback: Why Java is still champ
Java should adopt something like the Checker Framework Nullness Checker in its first-party tooling.
https://github.com/typetools/checker-framework
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Why Java Doesn't Support Multiple Inheritance
And modern (real, non-android) Java via project amber and so on has gone more and more quasi functional with its immutability and sealed and record types for effective sum types, as well as its pretty cool type-use annotation extensible static type checks.
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JSpecify: Express specifications (initially, just nullness properties) in a machine-readable way
Checkerframework - a really academic take, and as one might expect from such a thing, backed by tons of papers and analysed to perfection. Specifically, this is the only framework I'm aware of that realizes nullity is a little more complicated than just a boolean yes-or-no; just like generics actually have 4 flavours for any given type: List, List, List, and List are all 4 important and unique, and nullity is no different. Specifically, it can occur that you want to write a method that ought to accept both lists of nullable strings as well as list of nonnull strings, and needs to 'convey' this nullity again on its output. You can either attempt to lift along the existing generics system in java which I think is your intent, but it's not actually all that easy to do this. After all, T extends @Nullable Number super @NonNull Number, or whatnot, isn't legal java. So you.. really just can't do that. Checker Framework solves this problem by introducing the @PolyNull annotation, which still isn't perfect but covers almost all real world use cases you can think of. I'm missing any acknowledgement in your documentation. An oversight, or, something you hadn't thought of yet? You're in good company: Both eclipse and intellij's engineers, when I asked them about it, just hadn't realized it was a thing. Point is: If you think the primary problem with e.g. eclipse's and intellij's take is that they lack academic rigour - checkerframework has you beat.
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calling Format() on a time struct in a golang program changes the default Location's timezone information in the rest of the program
NullAway or the Checker Framework should greatly help eliminate the issue. Also, when Java gets value types you should be able to define your own non nullable value types and use them safely.
ixy-languages
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The Garbage Collection Handbook, 2nd Edition
Not really, here it is winning hands down over Swift's ARC implementation.
https://github.com/ixy-languages/ixy-languages
- rust devs in a nutshell
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So what you doing for the weeknd
You laugh, but ... https://github.com/ixy-languages/ixy-languages
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Blog post: My perspective on RAII and memory management in C++ and Rust
GC'd languages are designed to leverage GCs, meaning they usually allocate a lot. Some of the more recent ones (C#, Go) have ways around it or to limit it, but in your average GC'd language you have to really bend yourself out of shape to limit allocations (IIRC the Ixy effort / study / thing never managed to make the Java hotpath allocation-free).
- “Rust is safe” is not some kind of absolute guarantee of code safety
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I wrote a database engine in Typescript
It's kind of funny when you see things like this project: https://github.com/ixy-languages/ixy-languages
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What are my prospects in web programming, if I don't like JS?
like not-even-in-the-same-ballpark faster. In this realworld example (userspace network drivers in managed languages) JS manages about 20-30% of native code performance, python iirc is below 1%
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Don’t call it a comeback: Why Java is still champ
- Support for generic-aware value types (struct vs. class) and low-level features like stackalloc: very valuable for high-performance scenarios and native FFI. See for instance https://github.com/ixy-languages/ixy-languages. In comparison, Java doesn't even have unsigned integers. Yes, Project Valhalla is coming someday.
As well, debatable to some folks, but: properties (get/set); operator overloading; LINQ > Java streams; extension methods; default parameters; collection initializers; tuples; nullable reference types; a dozen smaller features
- Reference Count, Don't Garbage Collect
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Why did you switch from another language to Rust? Do you regret not learning it earlier?
Very bottom of this file https://github.com/ixy-languages/ixy-languages/blob/master/Java-garbage-collectors.md
What are some alternatives?
Daikon - Dynamic detection of likely invariants
ctl - The C Template Library
OpenJML - This is the primary repository for the source code of the OpenJML project. The source code is licensed under GPLv2 because it derives from OpenJDK which is so licensed. The active issues list for OpenJML development is here and the wiki contains information relevant to development. Public documentation for users is at the project website:
cats - Lightweight, modular, and extensible library for functional programming.
CATG - a concolic testing engine for Java
redgrep - ♥ Janusz Brzozowski
JMLOK 2.0 - Tool for detecting and classifying nonconformances in Java/JML projects.
c-examples - Example C code
jCUTE - Java Concolic Unit Testing Engine
iced_audio - An extension to the Iced GUI library with useful widgets for audio applications
jspecify - An artifact of fully-specified annotations to power static-analysis checks, beginning with nullness analysis.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.