CIEL
Petalisp
CIEL | Petalisp | |
---|---|---|
13 | 17 | |
143 | 424 | |
0.7% | - | |
6.7 | 8.5 | |
10 days ago | about 2 months ago | |
Common Lisp | Common Lisp | |
- | GNU Affero General Public License v3.0 |
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CIEL
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Writing Small CLI Programs in Common Lisp (2021)
and for CL: https://github.com/ciel-lang/CIEL/ (pre-alpha) CL with many batteries included (json, csv, http, CLI parser…) so the scripts start fast.
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Sharpscript: Lisp for Scripting
As a CL addict, this isn't unlike Babashka: fast-starting CL scripting with batteries included. https://github.com/ciel-lang/CIEL (alpha) (otherwise the solution is to build a binary)
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It's 2023, so of course I'm learning Common Lisp
> lots of interoperability libraries
That's true. For cases when you want to start with a good set of libraries (json, csv, databases, HTTP client, CLI args, language extensions…), I am putting up this collection together: https://github.com/ciel-lang/CIEL/ It can be used as a normal Quicklisp library, or as a core image (it then starts up instantly) or as a binary.
It can run scripts nearly instantly too (so it isn't unlike Babashka). We are ironing out the details, not at v1.0 yet.
> handling a runtime error by just fixing the broken code--in-place, without any restarts [from the blog]
Also (second shameless plug) I should have illustrated this here: https://www.youtube.com/watch?v=jBBS4FeY7XM
We run a long and intensive computation and, bad luck, we get an error in the last step. Instead of re-running everything again from zero, we get the interactive debugger, we go to the erroneous line, we compile the fixed function, we come back to the debugger, we choose a point on the stackframe to resume execution from (the last step), and we see our program pass. Hope this illustrates the feature well!
- The Embeddable Common Lisp [pdf]
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Improving REPL experience in terminal?
check out CIEL, one of it's goal is to be a quality terminal repl
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networking and threads
I've been doing the protohackers challenges in common lisp to learn, and I ran into a problem that is possibly a bug in the socket library, or much more likely in my misunderstanding it. At any rate the best workaround a found seems pretty ugly, so can anyone advice what would be the cleanest way to solve it, and how we're supposed to deal with sockets? The problem is basically make a tcp server, that forwards all connections to an upstream server, and does a regex find and replace on all the traffic that passes through. Here's my working solution. I haven't learned much how asdf and packages work yet, I am just using CIEL which is SBCL (2.2.9.debian) with a bunch of libraries already loaded, I think if you load usocket, usocket-server, cl-ppcre, and bordeaux-threads it should run. The program is simple, I just forward all traffic from the client to the upstream doing regex replacement on each line, and spawn a thread that handles forwarding all traffic from the upstream to the client with the regex replacement. The issue is that when the client disconnects, my program doesn't disconnect from the upstream, even when I call (close upstream) and (socket-close socket). Before closing the socket or stream, the connection shows as established in ss -tp and as belonging to the sbcl process. After calling close on the socket and stream, the connection still shows as established, just it no longer shows as belonging to the sbcl process, and tcpdump shows that the 4-way termination handshake is not sent. After killing the background thread that is also reading the same socket, the 4-way termination is sent, and the connection is closed. It seems like calling close on the stream or socket should close it? Are sockets or streams not safe to share between threads? Is there a cleaner way to handle closing the upstream connection when the client disconnects rather than calling destroy thread?
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Common Lisp Implementations in 2023
I quite agree, so I'm making a meta-library to have useful libraries available out of the box: https://github.com/ciel-lang/CIEL/ It's CL, batteries included. You can use it as a library, as a core CL image (loads up faster), and as a binary to have a REPL, and to run scripts:
ciel --script myscript.lisp
- CIEL Is an Extended Lisp. Batteries Included
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Babashka: GraalVM Helped Create a Scripting Environment for Clojure
No, we have to build a binary, which starts up super quickly.
I began to put together a "distribution" of useful CL libraries for everyday tasks: https://github.com/ciel-lang/CIEL/ It comes as:
- a lisp core, which you can use in your editor setup instead of sbcl or ccl, the advantage is that it loads instantly with all these libraries built-in (instead of quickloading all of them when needed)
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Any projects want/need help?
Hi there. I'd enjoy help on anything web development for openbookstore: https://github.com/OpenBookStore/openbookstore (especially now: setting up i18n) Or, we could work on the terminal REPL experience for the CIEL meta-package: https://github.com/ciel-lang/CIEL/ We could use a better base like cl-repl or better yet, Lish.
Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
What are some alternatives?
quicklisp-client - Quicklisp client.
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
ichiran - Linguistic tools for texts in Japanese language
JWM - Cross-platform window management and OS integration library for Java
racket-gui-easy - Declarative GUIs in Racket.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
arrows - Implements -> and ->> from Clojure, as well as several expansions on the idea.
magicl - Matrix Algebra proGrams In Common Lisp.
cl-utils - GrammaTech Common Lisp Utilities
lish - Lisp Shell
common-lisp-standard-library
StatsBase.jl - Basic statistics for Julia