hoogle
lean4
hoogle | lean4 | |
---|---|---|
61 | 55 | |
724 | 3,870 | |
- | 3.4% | |
6.3 | 10.0 | |
4 months ago | 6 days ago | |
Haskell | Lean | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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hoogle
- The Hunt for the Missing Data Type
- SQL Join Flavors
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What Is Dimensional Analysis?
Dimensions behave somewhat like a "type system" for math. These dimensional-analysis tricks act like the trick you see in Haskell sometimes, where you can easily guess an implementation of an expression once you know it's type (or e.g. search by type signature https://hoogle.haskell.org/ )
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Do you miss dot-completion when coding in Haskell?
Haskell Spotlight makes vscode a client for hoogle. It isn't too different than jumping into your browser and type https://hoogle.haskell.org/. The main advantage is that you have everything in one place
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dear ZVON.org owner, please take your haskell references down
https://hackage.haskell.org/package/base and https://hoogle.haskell.org are automatically up to date and better searchable than almost any other reference of any other programming language. maintaining a redundant reference that needs to be kept up to date manually is simply stupid.
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Java 20 Is Out
Ideally like this: https://zio.dev/reference/#concurrency
Or this: https://hoogle.haskell.org/?hoogle=fork
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Noob Question about Symbols after Class propertys.
And yeah I get it, it's hard to Google for punctuation operators in languages because it doesn't give useful search results (but not impossible, for example, Haskell has a search engine for documentation that handles symbols/punctuation).
- uh, got it. thanks Bing
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Haskell IDE setup
{ "customLocalFormatters.formatters": [ { "command": "make format", "languages": ["haskell"] } ], "emeraldwalk.runonsave": { "commands": [ { "match": "*.hs", "isAsync": true, "cmd": "make retag retag_file=${file}" } ] }, "ghcid.command": "make ghcid", "goto-documentation.customDocs": { "hs": "https://hoogle.haskell.org/?hoogle=${query}" } }
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Idris: A Language for Type-Driven Development
You had a look at Hoogle?
https://hoogle.haskell.org/
For some type signatures there is (are) only one (or only a few) meaningful implementation(s).
lean4
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The Fermat's Last Theorem Project
Lean is free and open source and nothing to do with MS. Check out https://lean-lang.org/ and https://github.com/leanprover/lean4 -- no mention of MS or MSR (where de Moura was where he developed Lean 3 and started on Lean 4).
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Dafny is a verification-aware programming language
Recently replaced by Lean, though.
https://github.com/cedar-policy/cedar-spec
https://lean-lang.org
- The Mechanics of Proof
- Natural Deduction in Logic (2015)
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The Wizardry Frontier
Nice read! Rust has pushed, and will continue to push, the limits of practical, bare metal, memory safe languages. And it's interesting to think about what's next, maybe eventually there will be some form of practical theorem proving "for the masses". Lean 4 looks great and has potential, but it's still mostly a language for mathematicians. There has been some research on AI constructed proofs, which could be the best of both worlds because then the type checker can verify that the AI generated code/proof is indeed correct. Tools like Kani are also a step forward in program correctness.
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Lean4 helped Terence Tao discover a small bug in his recent paper
Yeah, I believe they said intend for it to be used as a general purpose programming language. I used it to complete Advent of Code last year.
There are some really interesting features for general purpose programming in there. For example: you can code updates to arrays in a functional style (change a value, get a new array back), but if the refcount is 1, it updates in place. This works for inductive types and structures, too. So I was able to efficiently use C-style arrays (O(1) update/lookup) while writing functional code. (paper: https://arxiv.org/abs/1908.05647 )
Another interesting feature is that the "do" blocks include mutable variables and for loops (with continue / break / return), that gets compiled down to monad operations. (paper: https://dl.acm.org/doi/10.1145/3547640 )
And I'm impressed that you can add to the syntax of the language, in the same way that the language is implemented, and then use that syntax in the next line of code. (paper: https://lmcs.episciences.org/9362/pdf ). There is an example in the source repository that adds and then uses a JSX-like syntax. (https://github.com/leanprover/lean4/blob/master/tests/playgr... )
- A Linguagem Lua completa 30 anos!
- Lean 4.0
- Lean 4.0.0, first official lean4 release
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Looking to start a new community for people who want to use code for everything
My latest inspiration to use code to a) replace my video editor, b) learn the basics of EDM production and c) understand a few topics in higher maths. This might sound very strange given there are specialised tools for these jobs. There's iMovie / Adobe Premier for video, there's GarageBand and FL studio for music and old good pen and pencil for math proofs. But these tools have three big limitations. First they have a lot of idiosyncratic learning, you have to spend quite some time getting used to these tools and my experience is that this time is quite upsetting. In contrast, you only have to learn to code one, maybe spend a few hours getting used to the syntax of another language. I'm not sure if that's true for most people but it was true for me using the tools mentioned above and wanted a place to discuss and see other people ideas and experiments. The second issue is that all these custom-made tools, are not composing easily. I can't search for all math proofs that used a single theorem. I can't create a plugin for iMovie and apply it to all my videos. I can't pick easily pick a rhythm from the internet and build upon for fun. There's also the issue of costs and version control, all tools I'm using today are open source and my work is stored in my repositories. This way I can create branches and test my ideas and I'm also confident that I can work in these projects in years.
What are some alternatives?
castle - A tool to manage shared cabal-install sandboxes.
z3_tutorial - Jupyter notebooks for tutorial on the Z3 SMT solver
ghci-ng
coq - Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
ihaskell - A Haskell kernel for the Jupyter project.
Agda - Agda is a dependently typed programming language / interactive theorem prover.
hakyll - A static website compiler library in Haskell
ATS-Postiats - ATS2: Unleashing the Potentials of Types and Templates
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
ts-sql - A SQL database implemented purely in TypeScript type annotations.
elm-make
roc - A fast, friendly, functional language.