z3
advent_of_code
z3 | advent_of_code | |
---|---|---|
28 | 19 | |
9,754 | 5 | |
1.1% | - | |
9.8 | 8.0 | |
6 days ago | 2 months ago | |
C++ | Dart | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
z3
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Ask HN: What is the current state of "logical" AI?
See https://cacm.acm.org/magazines/2023/6/273222-the-silent-revo... and also modern production rules engines like https://drools.org/
Oddly, back when “expert system shells” were cool people thought 10,000 rules were difficult to handle, now 1,000,000 might not be a problem at all. Back then the RETE algorithm was still under development and people were using linear search and not hash tables to do their lookups.
Also https://github.com/Z3Prover/z3
Note “the semantic web” is both an advance and a retreat in that OWL is a subset of first order logic which is really decidable and sorta kinda fast. It can do a lot but people aren’t really happy with what it can do.
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Lean4 helped Terence Tao discover a small bug in his recent paper
Code correctness is a lost art. I requirement to think in abstractions is what scares a lot of devs to avoid it. The higher abstraction language (formal specs) focus on a dedicated language to describe code, whereas lower abstractions (code contracts) basically replace validation logic with a better model.
C# once had Code Contracts[1]; a simple yet powerful way to make formal specifications. The contracts was checked at compile time using the Z3 SMT solver[2]. It was unfortunately deprecated after a few years[3] and once removed from the .NET Runtime it was declared dead.
The closest thing C# now have is probably Dafny[4] while the C# dev guys still try to figure out how to implement it directly in the language[5].
[1] https://www.microsoft.com/en-us/research/project/code-contra...
[2] https://github.com/Z3Prover/z3
[3] https://github.com/microsoft/CodeContracts
[4] https://github.com/dafny-lang/dafny
[5] https://github.com/dotnet/csharplang/issues/105
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Programming Languages Going Above and Beyond
I believe, Nim also has this functionality, although, it uses the [0]Z3Prover tool with a nim frontend [1]"DrNim" for proving.
[0]https://github.com/Z3Prover/z3
- Modern SAT solvers: fast, neat and underused (2018)
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If You've Got Enough Money, It's All 'Lawful'
Don't get me wrong, there are times when Microsoft got it right the first time that was technically far superior to their competitors. Windows IOCP was theoretically capable of doing C10K as far back in 1994-95 when there wasn't any hardware support yet and UNIX world was bickering over how to do asynchronous I/O. Years later POSIX came up with select which was a shoddy little shit in comparison. Linux caved in finally only as recently as 2019 and implemented io_uring. Microsoft research has contributed some very interesting things to computer science like Z3 SAT solver and in collaboration with INRIA made languages like F* and Low* for formal specification and verification. But all this dwarfs in comparison to all the harm they did.
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Constraint Programming 'linking' variables
Z3 theorem prover SMT solver might help you.
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General mathematical expression analysis system
Other than that, you should look at Z3 which is pretty damn good at these sort of theorems/constraints.
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-🎄- 2022 Day 21 Solutions -🎄-
In the end I used Z3 Julia bindings instead. The hardest part was to get the result back from it, because I kept running into assertion violations from inside Z3
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Question about Predicate Transformer Semantics
I'm trying to learn a little bit about Predicate Transformer Semantics (PTS) as part of a quick exploration of Z3.
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The Little Prover
> And you propose me instead to go and reverse engineer library Js code which I am not that proficient in, and rewrite all code in Java instead?..
Yes, rather than demand others cater to your whims, frankly.
Do you realise how hypocritical it sounds to complain that you are not proficient in Javascript, when others might not be proficient in ?
Go use Z3 if you need a prover in C++ (or Java), its far more robust (provided its the type you're after) than someones 700 LoC JavaScript implementation.
https://github.com/Z3Prover/z3
advent_of_code
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-❄️- 2023 Day 9 Solutions -❄️-
Here's the relevant extract from my (recursive) solution. Full code on GitHub.
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-❄️- 2023 Day 8 Solutions -❄️-
Like others, I used lcm. Here's an extract of the solution, omitting parsing and main(). Full solution on GitHub.
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-🎄- 2022 Day 14 Solutions -🎄-
Solutions to parts 1 and 2 nearly identical and pretty much worked first time. Nothing clever here. This was far simpler than I thought it would be. I probably spent most time trying to think of a mathematical way of getting all points between p1 and p2. In the end, I just constructed two ranges. Full code here.
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-🎄- 2022 Day 10 Solutions -🎄-
Full code on github.
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-🎄- 2022 Day 9 Solutions -🎄-
The core of my solution below using numpy (because I'm learning it!). See github for full code.
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-🎄- 2022 Day 8 Solutions -🎄-
Python 3 solution using numpy. I got held up because I assume (but know better) that numpy arrays are [x,y] instead of [row, col], which is [y,x].
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-🎄- 2021 Day 14 Solutions -🎄-
Below is the new solution, which works for part 1 and 2. The full code is on GitHub.
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-🎄- 2021 Day 11 Solutions -🎄-
These are the key functions. The whole code is on GitHub
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-🎄- 2021 Day 9 Solutions -🎄-
Part 2 (extract shown below) was a matter of starting with the low points found in part 1 then recursively looking around for relevant points. Full code on GitHub
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-🎄- 2021 Day 8 Solutions -🎄-
Code is on GitHub.
What are some alternatives?
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advent-of-code
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