ntfy-android VS egglog

Maybe try Ntfy, it has great support for automation apps through intents(for reacting) and http requests(for sending). Great documentation too.

I've found the intent in the code (that is linked in the docs):https://github.com/binwiederhier/ntfy-android/blob/main/app/src/main/java/io/heckel/ntfy/msg/BroadcastService.kt

Also, I had recommended AutoRemote/Join since it has a friendly interface and ditect events in Tasker. You could also possibly use Ntfy, but it is not very user friendly and has no direct events/action; you have to custom create http requests/receive intents and other complexities etc(though it's free).

GitHub (Android): https://github.com/binwiederhier/ntfy-android

ntfy - PUT/POST to your phone (version 1.14.0): Send notifications to your phone from any script using PUT/POST requests

Integrate it with the Ntfy notification app that has great HTTP Put/Post support.

https://github.com/binwiederhier/ntfy-android (disclaimer: mine, self-learner too)

The herbie project using egraphs to explore different ways of rewriting floating point expressions. https://herbie.uwplse.org/ One can also write custom rulesets in egglog (a new egraph rewriting system / language / datalog) https://egraphs-good.github.io/egglog/?example=herbie

The approach is not yet anywhere near being able to touch all the domains sympy can handle. Destructive term rewriting tends to be a bit more forgiving to unsoundness in the rules and still returning roughly meaningful results. EGraph rewriting (and other automated reasoning systems) tend to just return junk as soon as you aren't careful about your semantics. Associativity and commutativity are ubiquitous in CAS applications and encoding these concepts in general purpose terms is rather unsatisfying. The post above emphasizes specialty methods for polynomials, which it would be desirable to find a clean way to integrate into egraph techniques. Variable binding (which is treated in a rather mangled form in CAS systems) is seemingly important for treating summation, differentiation, and integration correctly. The status of doing variable binding efficiently and correctly in egraphs is also unclear imo.

For semantic analyzers, check out egg and egglog. They're custom data structures for representing compiler rewrite rules in a non-destructive way.

The recent work on relational, datalog-inspired egraphs in PLDI this year ("Unifying Datalog and Equality Saturation") is actually interesting because it can solve cases like the y/x*x -> y identity example, by the power of an interval analysis on x (among other things.) Sort of like adding a postulate but instead it's by adding relations between terms in the graph.

https://github.com/egraphs-good/egglog

https://arxiv.org/pdf/2304.04332.pdf

Close, but the link is on Page 13, and it points here: https://github.com/mwillsey/egg-smol

Unfortunately the naming is all a bit confusing, isn't it....