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1000 results for “recursive”
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Did someone manage to run the official knot-resolver container in production? I've been trying it out, but it keeps dropping me into an interactive console and I've got no idea what to pass to make it work as a regular recursive resolver.
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Did someone manage to run the official knot-resolver container in production? I've been trying it out, but it keeps dropping me into an interactive console and I've got no idea what to pass to make it work as a regular recursive resolver.
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Did someone manage to run the official knot-resolver container in production? I've been trying it out, but it keeps dropping me into an interactive console and I've got no idea what to pass to make it work as a regular recursive resolver.
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Did someone manage to run the official knot-resolver container in production? I've been trying it out, but it keeps dropping me into an interactive console and I've got no idea what to pass to make it work as a regular recursive resolver.
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I'm on to my third programming example in #Lua : calculating square roots using the Heron of Alexandria trial and error method. This time it only took me an hour and a half to wrestle with the correct syntax. I originally wanted to make it a recursive algorithm like in the #sicp lecture but maybe for that I should really just use #lisp.
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I'm on to my third programming example in #Lua : calculating square roots using the Heron of Alexandria trial and error method. This time it only took me an hour and a half to wrestle with the correct syntax. I originally wanted to make it a recursive algorithm like in the #sicp lecture but maybe for that I should really just use #lisp.
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I'm on to my third programming example in #Lua : calculating square roots using the Heron of Alexandria trial and error method. This time it only took me an hour and a half to wrestle with the correct syntax. I originally wanted to make it a recursive algorithm like in the #sicp lecture but maybe for that I should really just use #lisp.
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Are you compositionally curious 🤓
Want to know how to learn embeddings using🌲?
In our new #ICML2025 paper, we present Banyan:
A recursive net that you can train super efficiently for any language or domain, and get embeddings competitive with much much larger LLMs 1/🧵#embeddings #structure #nlp #semantics #efficient #lowresource
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I gave in... and rewrote #DBToaster in rust, and it's running its first SQL queries in interpreted mode! Still need to test query differentiation, and I probably won't go full recursive IVM at first, but most of the building blocks exist.
This version ended up with a query language that looks a lot more like relational algebra than the original AGCA (which is more dataloggy), but the fundamental idea remains: Each tuple is decomposed into an 'identity' component (the key), and an 'annotation' component, which is associated with a Ring- or Group-like combinator.
As a simple example, the following two relations are identical (assuming attribute 0 is a key, and the value is annotated with the <Z, +, 0> group, or an analogous ring):
{ <1> -> 1, <1> -> 1 } (two copies of the tuple <1, 1>)
and
{ <1> -> 2 } (one copy of the tuple <1, 2>)This change turns out to be huge win, by allowing group-by aggregates to be computed lazily. The relation encodes how multiple tuples need to be coalesced to get the final value. This, in turn, makes push-based query evaluation (and in turn semijoin/magic sets-style optimizations) easier and faster, since aggregation is no longer necessarily a pipeline blocker. Obviously, there are also benefits for IVM.
On a related note, after working for a long time with the JVM, rust-generated binaries feel like they run too fast. I did a whole lot of dumb things in the interpreter... but it still feels like the console is the bottleneck.
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CW: hyper, multicock, "clones", donut butthole, boobs with oversized areola and nipple
Did you know? Most squirrels actually consist of squirrels. This is a recursive property.
(Most squirrels are Balros, both by number and by volume.)
For https://www.furaffinity.net/user/echoen and https://www.furaffinity.net/user/tisfoolish
#mink_art #furry #furryart #hyper #multi #multicock #clones #hyper_cock #donut #hyper_boobs #squirrel #snow_leopard
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CW: hyper, multicock, "clones", donut butthole, boobs with oversized areola and nipple
Did you know? Most squirrels actually consist of squirrels. This is a recursive property.
(Most squirrels are Balros, both by number and by volume.)
For https://www.furaffinity.net/user/echoen and https://www.furaffinity.net/user/tisfoolish
#mink_art #furry #furryart #hyper #multi #multicock #clones #hyper_cock #donut #hyper_boobs #squirrel #snow_leopard
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I've got one more #mathober post - today's prompt is "recursion", and this by-hand construction of the Spiral of Theodorus seems sort of recursive. Just keep adding triangles over and over. The length of the hypotenuses are the square roots of 2 through 17 times the edge length of the smallest triangle.
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I've got one more #mathober post - today's prompt is "recursion", and this by-hand construction of the Spiral of Theodorus seems sort of recursive. Just keep adding triangles over and over. The length of the hypotenuses are the square roots of 2 through 17 times the edge length of the smallest triangle.
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I've got one more #mathober post - today's prompt is "recursion", and this by-hand construction of the Spiral of Theodorus seems sort of recursive. Just keep adding triangles over and over. The length of the hypotenuses are the square roots of 2 through 17 times the edge length of the smallest triangle.
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I've got one more #mathober post - today's prompt is "recursion", and this by-hand construction of the Spiral of Theodorus seems sort of recursive. Just keep adding triangles over and over. The length of the hypotenuses are the square roots of 2 through 17 times the edge length of the smallest triangle.
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Fuzzing? From the CLI? Fast? Say less.
🕸️ **rwalk**: A blazingly fast web directory scanner.
🔥 Designed for fast recursive scans and handling large wordlists.
🦀 Written in Rust!
⭐ GitHub: https://github.com/cestef/rwalk
#rustlang #web #scanner #directory #commandline #fuzzing #dirsearch
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Fuzzing? From the CLI? Fast? Say less.
🕸️ **rwalk**: A blazingly fast web directory scanner.
🔥 Designed for fast recursive scans and handling large wordlists.
🦀 Written in Rust!
⭐ GitHub: https://github.com/cestef/rwalk
#rustlang #web #scanner #directory #commandline #fuzzing #dirsearch
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Fuzzing? From the CLI? Fast? Say less.
🕸️ **rwalk**: A blazingly fast web directory scanner.
🔥 Designed for fast recursive scans and handling large wordlists.
🦀 Written in Rust!
⭐ GitHub: https://github.com/cestef/rwalk
#rustlang #web #scanner #directory #commandline #fuzzing #dirsearch
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Fuzzing? From the CLI? Fast? Say less.
🕸️ **rwalk**: A blazingly fast web directory scanner.
🔥 Designed for fast recursive scans and handling large wordlists.
🦀 Written in Rust!
⭐ GitHub: https://github.com/cestef/rwalk
#rustlang #web #scanner #directory #commandline #fuzzing #dirsearch
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Fuzzing? From the CLI? Fast? Say less.
🕸️ **rwalk**: A blazingly fast web directory scanner.
🔥 Designed for fast recursive scans and handling large wordlists.
🦀 Written in Rust!
⭐ GitHub: https://github.com/cestef/rwalk
#rustlang #web #scanner #directory #commandline #fuzzing #dirsearch
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NEW BIML Bibliography entry
https://arxiv.org/abs/2509.16499
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi, et al
A very nice set of references to work in model collapse. Collapsed model == lookup table (that is, no generalization). Discussion of recursive pollution as causing variance shrinkage or distribution shift.
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NEW BIML Bibliography entry
https://arxiv.org/abs/2509.16499
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi, et al
A very nice set of references to work in model collapse. Collapsed model == lookup table (that is, no generalization). Discussion of recursive pollution as causing variance shrinkage or distribution shift.
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NEW BIML Bibliography entry
https://arxiv.org/abs/2509.16499
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi, et al
A very nice set of references to work in model collapse. Collapsed model == lookup table (that is, no generalization). Discussion of recursive pollution as causing variance shrinkage or distribution shift.
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Building #unnamedsdvxclone on Debian Stable...
Install the following:
(Yep, a bunch of -dev packages)cmake libfreetype-dev libsdl2-dev libvorbis-dev libarchive-dev libssl-dev
Run the following:git clone <url> git submodule update --init --recursive cmake _DCMAKE_BUILD_TYPE=Release . make
Then the game binary would be in bin/. Confirms that online downloading songs works -
#treemap chart experiment/proof of concept.
What concept is it proof of?
1. That #camiJs can do recursive #WebComponents
2. An idea for a #mermaid / #markDown -like syntax for treemap dataWhat's a treemap?
https://en.wikipedia.org/wiki/Treemapping
I guess mine is a simplified version where we alternate splitting by columns and rows. -
#treemap chart experiment/proof of concept.
What concept is it proof of?
1. That #camiJs can do recursive #WebComponents
2. An idea for a #mermaid / #markDown -like syntax for treemap dataWhat's a treemap?
https://en.wikipedia.org/wiki/Treemapping
I guess mine is a simplified version where we alternate splitting by columns and rows. -
#treemap chart experiment/proof of concept.
What concept is it proof of?
1. That #camiJs can do recursive #WebComponents
2. An idea for a #mermaid / #markDown -like syntax for treemap dataWhat's a treemap?
https://en.wikipedia.org/wiki/Treemapping
I guess mine is a simplified version where we alternate splitting by columns and rows. -
#treemap chart experiment/proof of concept.
What concept is it proof of?
1. That #camiJs can do recursive #WebComponents
2. An idea for a #mermaid / #markDown -like syntax for treemap dataWhat's a treemap?
https://en.wikipedia.org/wiki/Treemapping
I guess mine is a simplified version where we alternate splitting by columns and rows. -
CW: Steins;Gate/Steins;Gate 0 Spoilers
Okabe in #steinsgate0(along with you, the player) towards the end(later routes) is literally creating a recursive function of himself ensuring the conditions are right for reaching the steins gate worldline