SMT

@pp0196.bsky.social

Sequences and consequences. Credit Pic : Cellular landscape cross-section through a eukaryotic cell, by Evan Ingersoll

Can databases scale scientific analyses beyond RAM? I’m excited to share dbverse, a composable database framework built to do just that. Across benchmarks, dbverse delivers ~1000x speedups and scales #spatialomics analyses to millions of cells. Preprint: www.biorxiv.org/content/10.6... 1/🧵

dbverse scales spatial omics analysis with embedded analytical databases

Spatial omics datasets are increasing in size and complexity, exceeding the memory of standard computers and thereby limiting data analysis. Here we present dbverse, a framework for larger-than memory...

biorxiv.org

No matter how much one tries, LLMs cannot stop generating disgusting #Rstats code (1K .something functions checking if string is empty or similar) and i think this is getting worse. No wonder people do not want to read code anymore or prefer using slop language they don't know to read

#Rstats ah looks like CRAN fedora machine's tool chain got updated, and lot of C code nonsense in the vendored libraries my packages wrap are not allowed anymore. Good though that there are 25 other packages concerned :D I have on month to fix it or packages will be rightfully boot out

CRAN release of version 1.4.0-0.1.0 of Rduckhts, the #RStats It was also nice to confirm that are our port of Brent Pedersen 's great mostdepth algorithm is likely the fastest for that application space in the West. But riker shows us there is space for memory bounding !

My secret 4th ALGO paper is out! We show a tight space lower on non-minimal k-perfect hash functions, generalize PtrHash into a non-minimal k-PHF, and then use it to develop a hash set implementation that is up to 1.6x faster than other hash sets! With Stefan {Hermann, Walzer} and Peter Sanders

arXiv cs.DS Data Structures and Algorithms@csds-bot.bsky.social · last mo.

Ragnar Groot Koerkamp, Stefan Hermann, Peter Sanders, Stefan Walzer: Non-minimal k-perfect hashing: Tight lower bounds and an application to fast static hash tables https://arxiv.org/abs/2607.07257 https://arxiv.org/pdf/2607.07257 https://arxiv.org/html/2607.07257

cited Marx one time in a session, and now Slope Code autocompletes "idealist" at each new concepts "discovery". Below i suggest let's see what are the lazy eval/effect type of libraries in the Typescript (for my own culture) world just like in #RStats : --->Idealist

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New release of secretbase 1.3.0 - a cryptography and data encoding toolkit. Adds base64 URL-safe variants. This is in addition to sha256, sha3, shake256, keccak, siphash, base58, cbor, json etc. all in 40kB. This package provides secure hashing for {targets}. #Rstats github.com/shikokuchuo/...

GitHub - shikokuchuo/secretbase: secretbase - Cryptographic Hash Functions and Data Encoding

secretbase - Cryptographic Hash Functions and Data Encoding - shikokuchuo/secretbase

github.com

Beware #Rstats users, according to Misanthropic, an R to C transpiler is a security risk 😄 Fable turned out to as expected to be La Fable I think some french speaker at Misanthropic is doing some kind of joke with these model names

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Ropendal: Abstract Filesystem access in #Rstats via 'Apache OpenDAL' R/Rust package using #savvy and exporting a C API because i for whatever reason i frequently download terabytes from Google Drive. Async API is heavily by #nanonext. Several time faster than paws for most ops at MinIO baseline

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