runner-images
cligen
runner-images | cligen | |
---|---|---|
51 | 32 | |
9,113 | 489 | |
2.5% | - | |
9.8 | 8.4 | |
1 day ago | 23 days ago | |
PowerShell | Nim | |
MIT License | ISC License |
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.
runner-images
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Show HN: Managed GitHub Actions Runners for AWS
Yeah this is a good option if you'd like something to deploy yourself! You can also build an AMI from GitHub's upstream image definition (https://github.com/actions/runner-images/tree/main/images/ub...) if you'd like it to match what's available in GitHub-hosted Actions.
With Depot, we're moving towards deeper performance optimizations and observability than vanilla GitHub runners - we've integrated the runners with a cache storage cluster for instance, and we're working on deeper integration with the compute platform that we built for distributed container image builds - as well as expanding the types of builds we can process beyond Actions and Docker, for instance.
But different options will be better for different folks, and the `philips-labs` project is good at what it does.
- GitHub switched to Docker Compose v2, action needed
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We Executed a Critical Supply Chain Attack on PyTorch
Whoa, there's a lot of stuff in there [1] that gets installed straight from vendors, without pinning content checksums to a value known-good to Github.
I get it, they want to have the latest versions instead of depending on how long Ubuntu (or, worse, Debian) package maintainers take to package stuff into their mainline repositories... but this attack surface is nuts.
[1] https://github.com/actions/runner-images/tree/main/images/ub...
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Terraform module for scalable GitHub action runners on AWS
I had a similar experience with ARC (actions-runner-controller).
One of the machines in the fleet failed to sync its clock via NTP. Once a job X got scheduled to it, the runner pod failed authentication due to incorrect clock time, and then the whole ARC system started to behave incorrectly: job X was stuck without runners, until another workflow job Y was created, and then X got run but Y became stuck. There were also other wierd behaviors like this so I eventually rebuilt everything based on VMs and stopped using ARC.
Using VMs also allowed me to support the use of the official runner images [0], which is good for compatibility.
I feel more people would benefit from managed "self-hosted" runners, so I started DimeRun [1] to provide cheaper GHA runners for people who don't have the time/willingness to troubleshoot low-level infra issues.
[0]: https://github.com/actions/runner-images
- Apple Silicon (M1) powered macOS runners are now available in public beta
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macOS Containers v0.0.1
Reminds me: Still waiting for native ARM support on GitHub Actions https://github.com/actions/runner-images/issues/5631
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Question on using Linux Self Hosted Agents with VMSS
Used https://github.com/actions/runner-images to get the packages needed for Ubuntu 22.04 As the packer requires a builder, I used "null" builder to set it as localhost ref: https://developer.hashicorp.com/packer/docs/builders/null (It was way difficult to figure it out the 1st time) I had to modify the .pkr.hcl file to pick my provisioners. I could not understand the use of /opt/hostedtoolcache folder (which I did later)
- steam run problem after install. missing depedencies
- VM Scale Set in Running Status but Failed Provisioning state...leaving agent jobs queued with "No agents in pool VMSS-Prod are currently able to service this request."
- [HELP] Building Unity WebGL projects in Azure Devops CI/CD pipeline
cligen
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CLI user experience case study
There is also generating the whole thing from a function signature (e.g. https://github.com/c-blake/cligen ) since then CLauthors need not learn a new spec language, but then CLauthors must add back in helpful usage metadata/semantics and still need to learn a library API (but I like how those two things can be "gradual"). It's a hard space in which to find perfection, but I wish you luck in your attempt!
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Things I've learned about building CLI tools in Python
cligen also allows End-CL-users to adjust colorization of --help output like https://github.com/c-blake/cligen/blob/master/screenshots/di... using something like https://github.com/c-blake/cligen/wiki/Dark-BG-Config-File
Last I knew, the argparse backing most Py CLI solutions did not support such easier (for many) to read help text, but the PyUniverse is too vast to be sure without much related work searching.
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Removing Garbage Collection from the Rust Language (2013)
20 milliseconds? On my 7 year old Linux box, this little Nim program https://github.com/c-blake/bu/blob/main/wsz.nim runs to completion in 275 microseconds when fully statically linked with musl libc on Linux. That's with a stripped environment (with `env -i`). It takes more like 318 microseconds with my usual 54 environment variables. The program only does about 17 system calls, though.
Additionally, https://github.com/c-blake/cligen makes decent CLI tools a real breeze. If you like some of Go's qualities but the language seems too limited, you might like Nim: https://nim-lang.org. I generally find getting good performance much less of a challenge with Nim, but Nim is undeniably less well known with a smaller ecosystem and less corporate backing.
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Writing Small CLI Programs in Common Lisp (2021)
If you find this article interesting and are curious about Nim then you would probably also be curious about https://github.com/c-blake/cligen
That allows adding just 1-line to a module to add a pretty complete CLI and then a string per parameter to properly document options (assuming an existing API using keyword arguments).
It's also not hard to compile & link a static ELF binary with Nim.. I do it with MUSL libc on Linux all the time. I just toss into my ~/.config/nim/nim.cfg:
@if musl: # make nim c -d:musl .. foo static-link `foo` with musl
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GNU Parallel, where have you been all my life?
Sure. No problem.
Even Windows has popen these days. There are some tiny popenr/popenw wrappers in https://github.com/c-blake/cligen/blob/master/cligen/osUt.ni...
Depending upon how balanced work is on either side of the pipe, you usually can even get parallel speed-up on multicore with almost no work. For example, there is no need to use quote-escaped CSV parsing libraries when you just read from a popen()d translator program producing an easier format: https://github.com/c-blake/nio/blob/main/utils/c2tsv.nim
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The Bipolar Lisp Programmer
Nim is terse yet general and can be made even more so with effort. E.g., You can gin up a little framework that is even more terse than awk yet statically typed and trivially convertible to run much faster like https://github.com/c-blake/bu/blob/main/doc/rp.md
You can statically introspect code to then generate related/translated ASTs to create nearly frictionless helper facilities like https://github.com/c-blake/cligen .
You can do all of this without any real run-time speed sacrifices, depending upon the level of effort you put in / your expertise. Since it generates C/C++ or Javascript you get all the abilities of backend compilers almost out of the box, like profile-guided-optimization or for JS JIT compilation.
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Ask HN: Why did Nim not catch-on like wild fire as Rust did?
It's more that those tools were what come to mind when I specifically think of my exposure to the existence of rust. Its perhaps not that the tools were there, but that they were well known (and known for being written in rust).
Anecdatapoint - I've never heard of literally a single one of the utilities listed on the bu page.
Regarding cligen, right from the start clap wins on producing idiomatic output. Compare: https://github.com/c-blake/cligen#cligen-a-native-api-inferr...
Usage:
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Newbie looking at nim
cool example would be this which is a CLI generation library. It lets you describe command line interfacs simply using function signatures
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Zig and Rust
>Does nim have anything as polished and performant as clap and serde?
"Polished" and "high quality" are more subjective/implicitly about adoption, IMO. "Performant" has many dimensions. I just tested the Nim https://github.com/c-blake/cligen vs clap: cligen used 5X less object file space (with all size optimization tweaks enabled in both), 20% less run-time memory for large argument lists, and the same run-time per argument (with march=native equivalents on both, within statistical noise). cligen has many features - "did you mean?/suggestions", color generated help and all that - I do not see obvious feature in clap docs missing in cligen. The Nim binary serde showing is unlikely as good but there are like 10 JSON packages and that seems maybe your primary concern.
More to add color your point than disagree (and follow up on my "adoption") - your ideas about polish, quality, docs, etc. are part of feedback loop(s) you mentioned. More users => Users complain (What is confusing? What is missing? etc.) => things get fixed/cleaned up/improved => More users. Besides "performant" being multi-dimensional, the feedback loop is more of a "cyclic graph". :-) While I probably prefer Nim as much or more as @netbioserror, I am not too shocked by the mindshare capture. It seems to happen every 5..10 years or so in prog.langs.
While many of your points are not invalid, tech is also a highly hype-driven & fad-driven realm. In my experience, the more experience with this meta-feature that someone has, the more skeptical they are of the latest thing (more rounds of regret, etc.). Also, that feedback graph is not a pure good. Things can get too popular too quickly with near permanent consequences. ipv4 got popular so quickly that we are still mostly stuck on it 40 years later as ipv6 struggles for penetration. Whatever your favorite PL is, it may also grow features too fast.
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Self Hosted SaaS Alternatives
You are welcome. Thanks are too rarely offered. :-)
You may also be interested in word stemming ( such as used by snowball stemmer in https://github.com/c-blake/nimsearch ) or other NLP techniques, but I don't know how internationalized/multi-lingual that stuff is, but conceptually you might want "series of stemmed words" to be the content fragments of interest.
Similarity scores have many applications. Weights on graph of cancelled downloads ranked by size might be one. :)
Of course, for your specific "truncation" problem, you might also be able to just do an edit distance against the much smaller filenames and compare data prefixes in files or use a SHA256 of a content-based first slice. ( There are edit distance algos in Nim in https://github.com/c-blake/cligen/blob/master/cligen/textUt.... as well as in https://github.com/c-blake/suggest ).
Or, you could do a little program like ndup/sh/ndup to create a "mirrored file tree" of such content-based slices then you could use any true duplicate-file finder (like https://github.com/c-blake/bu/blob/main/dups.nim) on the little signature system to identify duplicates and go from path suffixes in those clusters back to the main filesystem. Of course, a single KV store within one or two files would be more efficient than thousands of tiny files. There are many possibilities.
What are some alternatives?
jellyscrub - Smooth mouse-over video scrubbing previews for Jellyfin.
httpbeast - A highly performant, multi-threaded HTTP 1.1 server written in Nim.
paths-filter - Conditionally run actions based on files modified by PR, feature branch or pushed commits
bioawk - BWK awk modified for biological data
json-tidy - Pretty prints JSON from stdin, files, or URLs
nimforum - Lightweight alternative to Discourse written in Nim
changed-files - :octocat: Github action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.
loggedfs - LoggedFS - Filesystem monitoring with Fuse
combine-prs-workflow - Combine/group together PRs (for example from Dependabot and similar services)
lobster - The Lobster Programming Language
just - 🤖 Just a command runner
walkdir - Rust library for walking directories recursively.