anaconda-issues
cligen
anaconda-issues | cligen | |
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10 | 32 | |
641 | 489 | |
0.0% | - | |
6.6 | 8.4 | |
3 months ago | 28 days ago | |
Nim | ||
- | ISC License |
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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.
anaconda-issues
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ssl certifiates are broken
Google search of the issue also turned up this thread: https://github.com/ContinuumIO/anaconda-issues/issues/72
- Model 8bit Optimization Through WSL
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Why is Anaconda running so slow in my terminal?
I found this post on github that describes the same issue I'm facing but the solutions didn't help.
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Python 3 Types in the Wild
A scientist typically wouldn't write web backend, a sysadmin doesn't do a lot of statistical stuff, etc.
A small startup might do well to make their MVP in Python, but as the code grows the implicit costs (of using Python) do too.
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In re: Rust, sorry I wasn't clear above. I don't mean that Rust is a glue language, I mean that people write e.g. grep replacements in it and things like that. Python does systems programming by being glue, Rust does it by being, well, Rust. It makes sense to me that Rust libs would get Python wrappers, but it also seems to me that that adds to my argument: Python is good for small glue, but crunchy things (like grep) should be written in e.g. Rust or Go or something.
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One other things about Python is that the packaging & distribution "story" is ridiculous now. The people in charge of that call themselves the Python Packaging Authority (which name, given what they're doing, reminds me of Brazil the movie) and they seem to me to be running amok, cargo-culting the crap out of what should be a pretty simple and straightforward problem. I could go on but I feel a rant brewing, so I'll cut it off there.
It's not just the PyPA folks that are having problems packaging and distributing Python. The Conda folks ship Tkinter in a broken state for five years now: https://github.com/ContinuumIO/anaconda-issues/issues/6833 That's the default GUI system that ships with the Python Standard Library.
Compare and contrast with Rust's Cargo, or Nim's Nimble, or Erlang's Rebar, etc.
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tkinter font is pixelated
If so, you can check this solution. I've encountered this same issue when using Anaconda or Conda. https://github.com/ContinuumIO/anaconda-issues/issues/6833
- Astrophysicist wants to learn Python
- I know everyone hates Waves, but I seriously hate IK Multimedia even more. Anyone else?
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cannot connect to Centos 8 server from windows 10 PC using xrdp, macOS ok
https://github.com/ContinuumIO/anaconda-issues/issues/1206#issuecomment-258672013
- Windows 10 5.0.1 install gets stuck at "Anaconda3\pkgs\.install.py" · Issue #7587 · ContinuumIO/anaconda-issues
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?
Projects - :page_with_curl: A list of practical projects that anyone can solve in any programming language.
httpbeast - A highly performant, multi-threaded HTTP 1.1 server written in Nim.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
bioawk - BWK awk modified for biological data
pytube-dl - this python application can be used to download youtube videos , thumbnails and descriptions.
nimforum - Lightweight alternative to Discourse written in Nim
NumPy - The fundamental package for scientific computing with Python.
loggedfs - LoggedFS - Filesystem monitoring with Fuse
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
lobster - The Lobster Programming Language
astropy - Astronomy and astrophysics core library
walkdir - Rust library for walking directories recursively.