Legislation (which feels similar to programming languages sometimes) seems to have some keywords of its own. I remember seeing a lot of Whereas … and Having regard to ….
At one of my first jobs, I was tasked to rewrite a bunch of legacy Perl scripts in Python and the unless lines always made me trip up. I don’t know why but it really messed with my mental flow when reading Perl code
I haven’t written any Ruby for years, but I still praise it in every conversation I have regarding programming languages. It’s basically a much simpler Python, with some design ideas that are both beautiful and deeply strange.
Ruby was designed to evoke joy and they absolutely succeeded. Usually, programming is mostly a means to an end to me. But using Ruby just feels so amazing, it’s almost impossible to even describe to somebody who has never used it before.
While there are not actually any trailing commas in the dictionaries present and you are correct to say the ones present are part of a list, you can also have trailing commas in Python dictionaries. OP might have researched “Python trailing commas” and learned that part.
Trailing commas are fantastic to reduce changed lines in git diffs. Makes life much better. Same thing with leading commas in SQL queries.
Don’t use OpenAI’s outdated tools. Also, don’t rely on prompt engineering to force the output to conform. Instead, use a local LLM and something like jsonformer or parserllm which can provably output well-formed/parseable text.
I’ll be informal to boost your intuition. You know how a parser can reject invalid inputs? Parsers can be generated from grammars, so we can think of the grammars themselves as rejecting invalid inputs too. When we use a grammar for generation, every generated output will be a valid input when parsed, because the grammar can’t build any invalid sentences (by definition!)
For example, suppose we want to generate a JSON object. The grammar for JSON objects starts with an opening curly brace “{”. This means that every parser which accepts JSON objects (and rejects everything else) must start by accepting “{”. So, our generator must start by emitting a “{” as well. Since our language-modeling generators work over probability distributions, this can be accomplished by setting the probability of every token which doesn’t start with “{” to zero.
The green Merged means that the pull request was submitted into the branch.
The DO NOT MERGE text is an instruction for automerger. Android is developed in a truly startling amount of related git branches. Automerger is the tool that propagates commits back and forth to make sure pull requests get to all flavours, versions and devices.
DO NOT MERGE tells Automerger not to propagate that pull request to newer versions of Android, i.e. it’s a fix for the currently released version that’s not relevant to the next development version of Android for whatever reason.
Also seen, although more rarely, is DO NOT MERGE ANYWHERE which tells Automerger not to propagate the pull request to any other branch other than where it was originally submitted, including branches for related products on the same version of Android.
Interesting, thanks for explaining. Like someone else was saying it is already in AOSP not introduced in lineage which makes sense since it is just a cherrypick
That reminds me of an old paper about how to create a compilable C program out of old game ROMs. Decompile to assembly. Implement a bunch of #define statements that implement all the ASM statements. Now compile it to a native binary on whatever platform.
Won’t likely be faster or more accurate than regular emulation methods, but it’s a neat idea considering that the source code on all this stuff was lost a long time ago.
I got to that once, on mobile I’ve never worked out the rule for when FF opens a new tab vs opening a site in your current tab. They just kind of silently accumulate.
So do I, for a few days. If I haven’t read it by then, I’ll either bookmark for later or just close. I pretty much never have more than 10-15 active tabs ever.
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