pyyaml
spack
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pyyaml | spack | |
---|---|---|
16 | 52 | |
2,428 | 3,949 | |
1.4% | 2.3% | |
3.5 | 10.0 | |
17 days ago | 7 days ago | |
Python | Python | |
MIT License | Apache-2.0 or MIT |
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.
pyyaml
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Cython 3.0 Released
PyYAML knew about the breakage since january 2022[0], and nothing really happened. After a year and a half with lots of alphas and betas, I don't think there is much cython could do, short of fixing PyYAML themselves.
[0]: https://github.com/yaml/pyyaml/issues/601
- Cython v3 release breaking PyYAML install well used in Python ecosystem
- Cython and pyyaml is breaking many builds
- I'm needing a hand, I do not understand some (seemingly) simple Python stuff.
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is there any difference between using string.format() or an fstring?
They did finally change the default, in PyYAML 6, after many many bugs pointing out that their previous approach is broken (including one by yours truly), so the default is now safe.
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Using Rust to not have to touch Yaml in k8s land
Note some parsers, most notably pyyaml are still at yaml 1.1, because 13 years is just not enough time to update it.
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JSON is not a YAML subset
That part of the YAML 1.2 spec is in conflict with reality, though. The base of YAML 1.1 documents is large enough that a backwards-incompatible change to default behavior is for practical purposes impossible.
YAML 1.1 was released in 2005, and 1.2 in 2009 -- only four years later. But here we are, in 2022, and YAML 1.1 is still the default (in many cases, only) version supported. That's why the "Norway problem" persists -- it's not possible for the parser to know whether an un-versioned YAML document containing "a: no" should parse the same as {"a": false} or {"a": "no"}.
Python (PyYAML) doesn't support 1.2 yet: https://github.com/yaml/pyyaml/issues/116
Ruby (Psych) ditto -- I can't even find a tracking issue to enable it.
Go (go-yaml) is a mixture of YAML 1.1 and 1.2, depending on the author's preferences.
Also, as a rough guideline, you can't have a backwards-incompatible revision of a versioned spec declare that it's the new default version, because that breaks all existing users.
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I accidentally used YAML.parse instead of JSON.parse, and it worked?
Many parsers either default to YAML pre-1.2 or do not even expose a YAML 1.2 option. PyYAML has no 1.2 option, for example. So unless Ansible is using something other than PyYAML...
Relevant (open) PR: https://github.com/yaml/pyyaml/pull/555
- AttributeError: '_io.TextIOWrapper' object has no attribute 'items'
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Why doesn't yaml allow safe_dump for decimals?
Are you perhaps talking about decimal.Decimal? https://github.com/yaml/pyyaml/issues/255
spack
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Autodafe: "freeing your freeing your project from the clammy grip of autotools."
> Are we talking about the same autotools?
Yes. Instead of figuring out how to do something particular with every single software package, I can do a --with-foo or --without-bar or --prefix=/opt/baz-1.2.3, and be fairly confident that it will work the way I want.
Certainly with package managers or (FreeBSD) Ports a lot is taken care of behind the scenes, but the above would also help the package/port maintainers as well. Lately I've been using Spack for special-needs compiles, but maintainer ease also helps there, but there are still cases one a 'fully manual' compile is still done.
> Suffice it to say, I prefer to work with handwritten makefiles.
Having everyone 'roll their own' system would probably be worse, because any "mysteriously failure" then has to be debugged specially for each project.
Have you tried Spack?
* https://spack.io
* https://spack.readthedocs.io/en/latest/
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FreeBSD has a(nother) new C compiler: Intel oneAPI DPC++/C++
Well, good luck with that, cause it's broken.
Previous release miscompiled Python [1]
Current release miscompiles bison [2]
[1] https://github.com/spack/spack/issues/38724
[2] https://github.com/spack/spack/issues/37172#issuecomment-181...
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Essential Command Line Tools for Developers
gh is available via Homebrew, MacPorts, Conda, Spack, Webi, and as a…
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The Curious Case of MD5
> I can't count the number of times I've seen people say "md5 is fine for use case xyz" where in some counterintuitive way it wasn't fine.
I can count many more times that people told me that md5 was "broken" for file verification when, in fact, it never has been.
My main gripe with the article is that it portrays the entire legal profession as "backwards" and "deeply negligent" when they're not actually doing anything unsafe -- or even likely to be unsafe. And "tech" knows better. Much of tech, it would seem, has no idea about the use cases and why one might be safe or not. They just know something's "broken" -- so, clearly, we should update.
> Just use a safe one, even if you think you "don't need it".
Here's me switching 5,700 or so hashes from md5 to sha256 in 2019: https://github.com/spack/spack/pull/13185
Did I need it? No. Am I "compliant"? Yes.
Really, though, the main tangible benefit was that it saved me having to respond to questions and uninformed criticism from people unnecessarily worried about md5 checksums.
- Spack Package Manager v0.21.0
- Show HN: FlakeHub – Discover and publish Nix flakes
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Nixhub: Search Historical Versions of Nix Packages
[1] https://github.com/spack/spack/blob/develop/var/spack/repos/...
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Cython 3.0 Released
In Spack [1] we can express all these constraints for the dependency solver, and we also try to always re-cythonize sources. The latter is because bundled cythonized files are sometimes forward incompatible with Python, so it's better to just regenerate those with an up to date cython.
[1] https://github.com/spack/spack/
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Linux server for physics simulations
You want to look at the tools used for HPC systems, these are generally very well tried and tested and can be setup for single machine usage. Remote access - we use ssh, but web interfaces such as Open On Demand exist - https://openondemand.org/. For managing Jobs, Slurm is currently the most popular option - https://slurm.schedmd.com/documentation.html. For a module system (to load software and libraries per user), Spack is a great - https://spack.io/. You might also want to consider containerisation options, https://apptainer.org/ is a good option.
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Simplest way to get latest gcc for any platform ?
git clone https://github.com/spack/spack.git ./spack/bin/spack install gcc
What are some alternatives?
confuse - painless YAML config files for Python
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
strictyaml - Type-safe YAML parser and validator.
nixpkgs - Nix Packages collection & NixOS
yamllint - A linter for YAML files.
nix-processmgmt - Experimental Nix-based process management framework
jsonnet - Jsonnet - The data templating language
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
ohpc - OpenHPC Integration, Packaging, and Test Repo
python-strict-yaml-parsing - Examples of strict yaml parsing in python
NixOS-docker - DEPRECATED! Dockerfiles to package Nix in a minimal docker container