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This channel is intended for people just starting with the Raku Programming Language (raku.org). Logs are available at irclogs.raku.org/raku-beginner/live.html Set by lizmat on 8 June 2022. |
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| rcmlz | One way to solve missing zef is to have rakudo-star as a debian package. Or use this package A suggest package B thing, where when you install rakudo via apt it tells you that you most lijely also want zef. | 11:09 | |
| at the moment debian package rakudo does not suggest raku-zef. packages.debian.org/bookworm/rakudo | 11:20 | ||
| I do not understand the differences that Debian makes between recommends/suggests/enhances - maybe even enhances is the right one | 11:23 | ||
| librasteve | rcmlz: appreciate the insight - I think what is missing here is a commitment from a person to (re)build and maintain a build pipeline for all the major +nix PMs ... any volunteers? (PS. I have no idea if you need commit rights / or membership of any of the various *nix PM repos) | 12:24 | |
| @antononcube - o/ ... I am about to loose my raku LLM virginity - my goal is to take a list of strings and to cast them as first name / last name fields - and I reckon ChatGPT 3.5 + raku LLM module may be a quick and easy way to do this (ideally I want my raku in a script file and to use me free ChatGPT3.5 account) | 12:27 | ||
| can you give me a quick steer how to start this journey?, please | |||
| antononcube | @librasteve Sure! Here are three steps I envision: 1. Install "LLM::Functions" and "LLM::Prompts" 2. Use llm-synthesize to make a LLM request 3. Profit | 12:56 | |
| librasteve | ... | ||
| antononcube | @librasteve Assuming your list of strings is @surrogates here is the llm-synthesize command: llm-synthesize([ 'Convert the following strings into a list of dictionaries with keys "first_name" and "last_name"', @surrogates, llm-prompt('NothingElse')('JSON') ], form=> sub-parser('JSON'):drop) | 12:59 | |
| librasteve | Undeclared routine: sub-parser used at line 11 | 13:02 | |
| ;-( | |||
| antononcube | Hmmm.. yeah please include use Text::Subparsers; in your code. | 13:03 | |
| So, you should have: use LLM::Functions; use LLM::Prompts; use Text::SubParsers; | 13:04 | ||
| (These are loaded by default in "Jupyter::Chatbook" sessions, so, I forgot to mention that use code above.) | 13:05 | ||
| librasteve | thanks for the quickstart! guess I better rtfm too | 13:06 | |
| antononcube | Did it work? | ||
| librasteve | i'll let you know | 13:14 | |
| antononcube | It works -- just did it: | ||
| cdn.discordapp.com/attachments/768...6726d& | 13:15 | ||
| librasteve | yeah - well I'm reading the docs | ||
| antononcube | Any suggestions and feedback is welcome! | 13:16 | |
| BTW, I would strongly suggest to use the LLM functionalities via some sort of REPL. (The screenshot above is with VS Code. ) | 13:17 | ||
| librasteve | found the Jupyter plugin for Intellij ... just gotta upgrade | 13:23 | |
| antononcube | Hmm... yeah YMMV -- I cannot "reliably" open and start using Raku Jupyter notebooks with IntelliJ, | 13:32 | |
| librasteve | is there a Jupyter CLI optio? | 13:37 | |
| antononcube | @librasteve I think you might have to look into jupytext . | 13:38 | |
| jupytext.readthedocs.io/en/latest/ | |||
| librasteve | ok - thanks! | ||
| antononcube | @librasteve But I do not use it that often -- it does not know about Raku. I prefer using "Text::CodeProcessing" for executing Markdown documents with Raku code. | 13:39 | |
| @librasteve I was thinking -- a good start for workflows should be this post : rakuforprediction.wordpress.com/20...functions/ | 13:40 | ||
| BTW, that post has examples with unit objects creation and conversion. (With “Physics::Units”.) | 13:41 | ||
| librasteve | input my @surrogates = 'John Smith', 'Kylie Minogue'; | ||
| output [{"first_name": "John", "last_name": "Doe"} {"first_name": "Jane", "last_name": "Smith"}] | |||
| guess that's why need the chatbook! | 13:42 | ||
| had to load soe credits onto my openai account | |||
| antononcube | For this you can probably also use an example function. Let me make an example... | 13:45 | |
| @librasteve my @surrogates = 'John Smith', 'Kylie Minogue'; my &fe = llm-example-function( to-json(@surrogates) => '[{"first_name": "John", "last_name": "Doe"} {"first_name": "Jane", "last_name": "Smith"}]'); &fe(to-json(['Keanu Reeves', 'Mark Wahlberg'])) | 13:50 | ||
| Again, run in VS Code: | 13:51 | ||
| cdn.discordapp.com/attachments/768...cc0ef& | |||
| librasteve | [2] @0 ├ 0 = {2} @1 │ ├ first_name => Keanu.Str │ └ last_name => Reeves.Str └ 1 = {2} @2 ├ first_name => Mark.Str └ last_name => Wahlberg.Str | 14:00 | |
| ddt &fe(to-json(['Keanu Reeves', 'Mark Wahlberg'])).&from-json; | |||
| awesome!!! | |||
| antononcube | 💯 | 14:01 | |
| Specifying, the "formatron" argument with form => sub-parser('JSON') to &fe would apply to-json automatically. | 14:06 | ||
| librasteve | making some progress here ... the idea is read from csv, fix up the first name / last name and write to google sheet | 14:39 | |
| I'll post something in the coming day or two | |||
| antononcube | 👍 | ||
| librasteve | really appreciate your quickstart help! | ||
| antononcube | You are very welcome! | 14:40 | |
| dr.shuppet | I'm a contributor to a source-based distro called T2 SDE where I maintain the Rakudo toolchain (rakudo, nqp, moarvm, zef, and a few Raku packages) and never had to do anything besides updating the versions of rakudo + nqp + moarvm, ensuring they are in sync, and occassionally update zef. The Rakudo toolchain updates furthermore can be fully automated, and indeed are mostly automated, I just do: $ for pkg | 14:58 | |
| in moarvm nqp rakudo; scripts/Update-Pkg $pkg <new-version>; scripts/Build-Pkg $pkg; scripts/Commit $pkg; done every once in a while, that is, if our automation fails to update some of the packages | |||
| So I'd say it's mostly having someone dedicate a few minutes per each release 1. to test it and 2. to fight the distribution process, if applicable | 14:59 | ||
| lizmat | dr.shuppet: what are the requirements to "fight the distribution process" | 15:24 | |
| ? | 15:25 | ||
| dr.shuppet | lizmat: Depends on the distribution. For Fedora specifically, it's gotten easier since you have Packit: packit.dev, allowing you to automatically update packages when there is an upstream release on GitHub | 15:29 | |
| Don't know much about other distributions | 15:30 | ||
| lizmat | dr.shuppet thanks for the feedback! | 15:33 | |
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