Search Results: "Greg"

25 April 2024

Dirk Eddelbuettel: RQuantLib 0.4.22 on CRAN: Maintenance

A new minor release 0.4.22 of RQuantLib arrived at CRAN earlier today, and has been uploaded to Debian. QuantLib is a rather comprehensice free/open-source library for quantitative finance. RQuantLib connects (some parts of) it to the R environment and language, and has been part of CRAN for more than twenty years (!!) as it was one of the first packages I uploaded there. This release of RQuantLib updates to QuantLib version 1.34 which was just released yesterday, and deprecates use of an access point / type for price/yield conversion for bonds. We also made two minor earlier changes.

Changes in RQuantLib version 0.4.22 (2024-04-25)
  • Small code cleanup removing duplicate R code
  • Small improvements to C++ compilation flags
  • Robustify internal version comparison to accommodate RC releases
  • Adjustments to two C++ files for QuantLib 1.34

Courtesy of my CRANberries, there is also a diffstat report for the this release. As always, more detailed information is on the RQuantLib page. Questions, comments etc should go to the rquantlib-devel mailing list. Issue tickets can be filed at the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

22 April 2024

Russ Allbery: Review: The Stars, Like Dust

Review: The Stars, Like Dust, by Isaac Asimov
Series: Galactic Empire #2
Publisher: Fawcett Crest
Copyright: 1950, 1951
Printing: June 1972
Format: Mass market
Pages: 192
The Stars, Like Dust is usually listed as the first book in Asimov's lesser-known Galactic Empire Trilogy since it takes place before Pebble in the Sky. Pebble in the Sky was published first, though, so I count it as the second book. It is very early science fiction with a few mystery overtones. Buying books produces about 5% of the pleasure of reading them while taking much less than 5% of the time. There was a time in my life when I thoroughly enjoyed methodically working through a used book store, list in hand, tracking down cheap copies to fill in holes in series. This means that I own a lot of books that I thought at some point that I would want to read but never got around to, often because, at the time, I was feeling completionist about some series or piece of world-building. From time to time, I get the urge to try to read some of them. Sometimes this is a poor use of my time. The Galactic Empire series is from Asimov's first science fiction period, after the Foundation series but contemporaneous with their collection into novels. They're set long, long before Foundation, but after humans have inhabited numerous star systems and Earth has become something of a backwater. That process is just starting in The Stars, Like Dust: Earth is still somewhere where an upper-class son might be sent for an education, but it has been devastated by nuclear wars and is well on its way to becoming an inward-looking relic on the edge of galactic society. Biron Farrill is the son of the Lord Rancher of Widemos, a wealthy noble whose world is one of those conquered by the Tyranni. In many other SF novels, the Tyranni would be an alien race; here, it's a hierarchical and authoritarian human civilization. The book opens with Biron discovering a radiation bomb planted in his dorm room. Shortly after, he learns that his father had been arrested. One of his fellow students claims to be on Biron's side against the Tyranni and gives him false papers to travel to Rhodia, a wealthy world run by a Tyranni sycophant. Like most books of this era, The Stars, Like Dust is a short novel full of plot twists. Unlike some of its contemporaries, it's not devoid of characterization, but I might have liked it better if it were. Biron behaves like an obnoxious teenager when he's not being an arrogant ass. There is a female character who does a few plot-relevant things and at no point is sexually assaulted, so I'll give Asimov that much, but the gender stereotypes are ironclad and there is an entire subplot focused on what I can only describe as seduction via petty jealousy. The writing... well, let me quote a typical passage:
There was no way of telling when the threshold would be reached. Perhaps not for hours, and perhaps the next moment. Biron remained standing helplessly, flashlight held loosely in his damp hands. Half an hour before, the visiphone had awakened him, and he had been at peace then. Now he knew he was going to die. Biron didn't want to die, but he was penned in hopelessly, and there was no place to hide.
Needless to say, Biron doesn't die. Even if your tolerance for pulp melodrama is high, 192 small-print pages of this sort of thing is wearying. Like a lot of Asimov plots, The Stars, Like Dust has some of the shape of a mystery novel. Biron, with the aid of some newfound companions on Rhodia, learns of a secret rebellion against the Tyranni and attempts to track down its base to join them. There are false leads, disguised identities, clues that are difficult to interpret, and similar classic mystery trappings, all covered with a patina of early 1950s imaginary science. To me, it felt constructed and artificial in ways that made the strings Asimov was pulling obvious. I don't know if someone who likes mystery construction would feel differently about it. The worst part of the plot thankfully doesn't come up much. We learn early in the story that Biron was on Earth to search for a long-lost document believed to be vital to defeating the Tyranni. The nature of that document is revealed on the final page, so I won't spoil it, but if you try to think of the stupidest possible document someone could have built this plot around, I suspect you will only need one guess. (In Asimov's defense, he blamed Galaxy editor H.L. Gold for persuading him to include this plot, and disavowed it a few years later.) The Stars, Like Dust is one of the worst books I have ever read. The characters are overwrought, the politics are slapdash and build on broad stereotypes, the romantic subplot is dire and plays out mainly via Biron egregiously manipulating his petulant love interest, and the writing is annoying. Sometimes pulp fiction makes up for those common flaws through larger-than-life feats of daring, sweeping visions of future societies, and ever-escalating stakes. There is little to none of that here. Asimov instead provides tedious political maneuvering among a class of elitist bankers and land owners who consider themselves natural leaders. The only places where the power structures of this future government make sense are where Asimov blatantly steals them from either the Roman Empire or the Doge of Venice. The one thing this book has going for it the thing, apart from bloody-minded completionism, that kept me reading is that the technology is hilariously weird in that way that only 1940s and 1950s science fiction can be. The characters have access to communication via some sort of interstellar telepathy (messages coded to a specific person's "brain waves") and can travel between stars through hyperspace jumps, but each jump is manually calculated by referring to the pilot's (paper!) volumes of the Standard Galactic Ephemeris. Communication between ships (via "etheric radio") requires manually aiming a radio beam at the area in space where one thinks the other ship is. It's an unintentionally entertaining combination of technology that now looks absurdly primitive and science that is so advanced and hand-waved that it's obviously made up. I also have to give Asimov some points for using spherical coordinates. It's a small thing, but the coordinate systems in most SF novels and TV shows are obviously not fit for purpose. I spent about a month and a half of this year barely reading, and while some of that is because I finally tackled a few projects I'd been putting off for years, a lot of it was because of this book. It was only 192 pages, and I'm still curious about the glue between Asimov's Foundation and Robot series, both of which I devoured as a teenager. But every time I picked it up to finally finish it and start another book, I made it about ten pages and then couldn't take any more. Learn from my error: don't try this at home, or at least give up if the same thing starts happening to you. Followed by The Currents of Space. Rating: 2 out of 10

17 April 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.2.1 on CRAN: Micro Fix

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1135 other packages on CRAN, downloaded 33.7 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 579 times according to Google Scholar. Yesterday s release accommodates reticulate by suspending a single test that now croaks creating a reverse-dependency issue for that package. No other changes were made. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.2.1 (2024-04-15)
  • One-char bug fix release commenting out one test that upsets reticulate when accessing a scipy sparse matrix

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

11 April 2024

Russell Coker: ML Training License

Last year a Debian Developer blogged about writing Haskell code to give a bad result for LLMs that were trained on it. I forgot who wrote the post and I d appreciate the URL if anyone has it. I respect such technical work to enforce one s legal rights when they aren t respected by corporations, but I have a different approach. As an aside the Fosdem lecture Fortify AI against regulation, litigation and lobotomies is interesting on this topic [1], it s what inspired me to write about this. For what I write I am at this time happy to allow it to be used as part of a large training data set (consider this blog post a licence grant that applies until such time as I edit this post to change it). But only if aggregated with so much other data that my content is only a tiny portion of the data set by any metric. So I don t want someone to make a programming LLM that has my code as the only C code or a political data set that has my blog posts as the only left-wing content. If someone wants to train an LLM on only my content to make a Russell-simulator then I don t license my work for that purpose but also as it s small enough that anyone with a bit of skill could do it on a weekend I can t stop it. I would be really interested in seeing the results if someone from the FOSS community wanted to make a Russell-simulator and would probably issue them a license for such work if asked. If my work comprises more than 0.1% of the content in a particular measure (theme, programming language, political position, etc) in a training data set then I don t permit that without prior discussion. Finally if someone wants to make a FOSS training data set to be used for FOSS LLM systems (maybe under the AGPL or some similar license) then I ll allow my writing to be used as part of that.

5 April 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.2.0 on CRAN: Upstream Fix

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1136 other packages on CRAN, downloaded 33.5 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 578 times according to Google Scholar. This release brings a new upstream bugfix release Armadillo 12.8.2 prepared by Conrad two days ago. It took the usual day to noodle over 1100+ reverse dependencies and ensure two failures were independent of the upgrade (i.e., no change to worse in CRAN parlance). It took CRAN another because we hit a random network outage for (spurious) NOTE on a remote URL, and were then caught in the shrapnel from another large package ecosystem update spuriously pointing some build failures that were due to a missing rebuild to us. All good, as human intervention comes to the rescue. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.2.0 (2024-04-02)
  • Upgraded to Armadillo release 12.8.2 (Cortisol Injector)
    • Workaround for FFTW3 header clash
    • Workaround in testing framework for issue under macOS
    • Minor cleanups to reduce code bloat
    • Improved documentation

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

4 April 2024

Lukas M rdian: Netplan v1.0 paves the way to stable, declarative network management

New netplan status diff subcommand, finding differences between configuration and system state As the maintainer and lead developer for Netplan, I m proud to announce the general availability of Netplan v1.0 after more than 7 years of development efforts. Over the years, we ve so far had about 80 individual contributors from around the globe. This includes many contributions from our Netplan core-team at Canonical, but also from other big corporations such as Microsoft or Deutsche Telekom. Those contributions, along with the many we receive from our community of individual contributors, solidify Netplan as a healthy and trusted open source project. In an effort to make Netplan even more dependable, we started shipping upstream patch releases, such as 0.106.1 and 0.107.1, which make it easier to integrate fixes into our users custom workflows. With the release of version 1.0 we primarily focused on stability. However, being a major version upgrade, it allowed us to drop some long-standing legacy code from the libnetplan1 library. Removing this technical debt increases the maintainability of Netplan s codebase going forward. The upcoming Ubuntu 24.04 LTS and Debian 13 releases will ship Netplan v1.0 to millions of users worldwide.

Highlights of version 1.0 In addition to stability and maintainability improvements, it s worth looking at some of the new features that were included in the latest release:
  • Simultaneous WPA2 & WPA3 support.
  • Introduction of a stable libnetplan1 API.
  • Mellanox VF-LAG support for high performance SR-IOV networking.
  • New hairpin and port-mac-learning settings, useful for VXLAN tunnels with FRRouting.
  • New netplan status diff subcommand, finding differences between configuration and system state.
Besides those highlights of the v1.0 release, I d also like to shed some light on new functionality that was integrated within the past two years for those upgrading from the previous Ubuntu 22.04 LTS which used Netplan v0.104:
  • We added support for the management of new network interface types, such as veth, dummy, VXLAN, VRF or InfiniBand (IPoIB).
  • Wireless functionality was improved by integrating Netplan with NetworkManager on desktop systems, adding support for WPA3 and adding the notion of a regulatory-domain, to choose proper frequencies for specific regions.
  • To improve maintainability, we moved to Meson as Netplan s buildsystem, added upstream CI coverage for multiple Linux distributions and integrations (such as Debian testing, NetworkManager, snapd or cloud-init), checks for ABI compatibility, and automatic memory leak detection.
  • We increased consistency between the supported backend renderers (systemd-networkd and NetworkManager), by matching physical network interfaces on permanent MAC address, when the match.macaddress setting is being used, and added new hardware offloading functionality for high performance networking, such as Single-Root IO Virtualisation virtual function link-aggregation (SR-IOV VF-LAG).
The much improved Netplan documentation, that is now hosted on Read the Docs , and new command line subcommands, such as netplan status, make Netplan a well vested tool for declarative network management and troubleshooting.

Integrations Those changes pave the way to integrate Netplan in 3rd party projects, such as system installers or cloud deployment methods. By shipping the new python3-netplan Python bindings to libnetplan, it is now easier than ever to access Netplan functionality and network validation from other projects. We are proud that the Debian Cloud Team chose Netplan to be the default network management tool in their official cloud-images for Debian Bookworm and beyond. Ubuntu s NetworkManager package now uses Netplan as it s default backend on Ubuntu 23.10 Desktop systems and beyond. Further integrations happened with cloud-init and the Calamares installer.
Please check out the Netplan version 1.0 release on GitHub! If you want to learn more, follow our activities on Netplan.io, GitHub, Launchpad, IRC or our Netplan Developer Diaries blog on discourse.

2 April 2024

Dirk Eddelbuettel: ulid 0.3.1 on CRAN: New Maintainer, Some Polish

Happy to share that ulid is now (back) on CRAN. It provides universally unique identifiers that are lexicographically sortable, which improves over the more well-known uuid generators. ulid is a neat little package put together by Bob Rudis a few years ago. It had recently drifted off CRAN so I offered to brush it up and re-submit it. And as tooted earlier today, it took just over an hour to finish that (after the lead up work I had done, including prior email with CRAN in the loop, the repo transfer from Bob s to my ulid repo plus of course a wee bit of actual maintenance; see below for more). The NEWS entry follows.

Changes in version 0.3.1 (2024-04-02)
  • New Maintainer
  • Deleted several repository files no longer used or needed
  • Added .editorconfig, ChangeLog and cleanup
  • Converted NEWS.md to NEWS.Rd
  • Simplified R/ directory to one source file
  • Simplified src/ removing redundant Makevars
  • Added ulid() alias
  • Updated / edited roxygen and README.md documention
  • Removed vignette which was identical to README.md
  • Switched continuous integration to GitHub Actions
  • Placed upstream (header-only) library into src/ulid/
  • Renamed single interface file to src/wrapper

If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

23 March 2024

Dirk Eddelbuettel: littler 0.3.20 on CRAN: Moar Features!

max-heap image The twentyfirst release of littler as a CRAN package landed on CRAN just now, following in the now eighteen year history (!!) as a package started by Jeff in 2006, and joined by me a few weeks later. littler is the first command-line interface for R as it predates Rscript. It allows for piping as well for shebang scripting via #!, uses command-line arguments more consistently and still starts faster. It also always loaded the methods package which Rscript only began to do in recent years. littler lives on Linux and Unix, has its difficulties on macOS due to yet-another-braindeadedness there (who ever thought case-insensitive filesystems as a default were a good idea?) and simply does not exist on Windows (yet the build system could be extended see RInside for an existence proof, and volunteers are welcome!). See the FAQ vignette on how to add it to your PATH. A few examples are highlighted at the Github repo:, as well as in the examples vignette. This release contains another fair number of small changes and improvements to some of the scripts I use daily to build or test packages, adds a new front-end ciw.r for the recently-released ciw package offering a CRAN Incoming Watcher , a new helper installDeps2.r (extending installDeps.r), a new doi-to-bib converter, allows a different temporary directory setup I find helpful, deals with one corner deployment use, and more. The full change description follows.

Changes in littler version 0.3.20 (2024-03-23)
  • Changes in examples scripts
    • New (dependency-free) helper installDeps2.r to install dependencies
    • Scripts rcc.r, tt.r, tttf.r, tttlr.r use env argument -S to set -t to r
    • tt.r can now fill in inst/tinytest if it is present
    • New script ciw.r wrapping new package ciw
    • tttf.t can now use devtools and its loadall
    • New script doi2bib.r to call the DOI converter REST service (following a skeet by Richard McElreath)
  • Changes in package
    • The CI setup uses checkout@v4 and the r-ci-setup action
    • The Suggests: is a little tighter as we do not list all packages optionally used in the the examples (as R does not check for it either)
    • The package load messag can account for the rare build of R under different architecture (Berwin Turlach in #117 closing #116)
    • In non-vanilla mode, the temporary directory initialization in re-run allowing for a non-standard temp dir via config settings

My CRANberries service provides a comparison to the previous release. Full details for the littler release are provided as usual at the ChangeLog page, and also on the package docs website. The code is available via the GitHub repo, from tarballs and now of course also from its CRAN page and via install.packages("littler"). Binary packages are available directly in Debian as well as (in a day or two) Ubuntu binaries at CRAN thanks to the tireless Michael Rutter. Comments and suggestions are welcome at the GitHub repo. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

20 March 2024

Dirk Eddelbuettel: ciw 0.0.2 on CRAN: Updates

A first revision of the still only one-week old (at CRAN) package ciw has been released to CRAN! It provides is a single (efficient) function incoming() (now along with an alias ciw()) which summarises the state of the incoming directories at CRAN. I happen to like having these things at my (shell) fingertips, so it goes along with (still draft) wrapper ciw.r that will be part of the next littler release. For example, when I do this right now as I type this, I see (typically less than one second later)
edd@rob:~$ ciw.r 
    Folder                     Name                Time   Size         Age
    <char>                   <char>              <POSc> <char>  <difftime>
1: pretest instantiate_0.2.2.tar.gz 2024-03-20 13:29:00    17K  0.07 hours
2: recheck   tinytable_0.2.0.tar.gz 2024-03-20 12:50:00   565K  0.72 hours
3: pending      Matrix_1.7-0.tar.gz 2024-03-20 12:05:00   2.3M  1.47 hours
4: recheck      survey_4.4-2.tar.gz 2024-03-20 02:02:00   2.2M 11.52 hours
5: waiting   equateIRT_2.4.0.tar.gz 2024-03-19 17:00:00   895K 20.55 hours
6: pending   ravetools_0.1.5.tar.gz 2024-03-19 12:06:00   1.0M 25.45 hours
7: waiting     glmmTMB_1.1.9.tar.gz 2024-03-18 16:04:00   4.2M 45.48 hours
edd@rob:~$ 
See ciw.r --help or ciw.r --usage for more. Alternatively, in your R session, you can call ciw::incoming() (or now ciw::ciw()) for the same result (and/or load the package first). This release adds some packaging touches, brings the new alias ciw() as well as a state variable with all (known) folder names and some internal improvements for dealing with error conditions. The NEWS entry follows.

Changes in version 0.0.2 (2024-03-20)
  • The package README and DESCRIPTION have been expanded
  • An alias ciw can now be used for incoming
  • Network error handling is now more robist
  • A state variable known_folders lists all CRAN folders below incoming

Courtesy of my CRANberries, there is also a diffstat report for this release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

14 March 2024

Gregor Herrmann: teamwork in practice

teamwork, or: why I love the Debian Perl Group: elbrus has introduced a (very untypical) package into the Debian Perl Group in 2022. after changes of the default compiler options (-Werror=implicit-function-declaration) in debian, it didn't build any more & received an RC bug. because I sometimes like challenges, I had a look at it & cobbled together a patch. as I hardly speak any C, I sent my notes to the bug report & (implictly) asked for help. & went out to meet a friend. when I came home, I found an email from ntyni, sent less than 2 hours after my mail, where he friendly pointed out the issues with my patch & sent a corrected version. all I needed to do was to adjust the patch & upload the package. one more bug fixed, one less task for us, & elbrus can concentrate on more important tasks :)
thanks again, niko!

Dirk Eddelbuettel: ciw 0.0.1 on CRAN: New Package!

Happy to share that ciw is now on CRAN! I had tooted a little bit about it, e.g., here. What it provides is a single (efficient) function incoming() which summarises the state of the incoming directories at CRAN. I happen to like having these things at my (shell) fingertips, so it goes along with (still draft) wrapper ciw.r that will be part of the next littler release. For example, when I do this right now as I type this, I see
edd@rob:~$ ciw.r
    Folder                   Name                Time   Size          Age
    <char>                 <char>              <POSc> <char>   <difftime>
1: waiting   maximin_1.0-5.tar.gz 2024-03-13 22:22:00    20K   2.48 hours
2: inspect    GofCens_0.97.tar.gz 2024-03-13 21:12:00    29K   3.65 hours
3: inspect verbalisr_0.5.2.tar.gz 2024-03-13 20:09:00    79K   4.70 hours
4: waiting    rnames_1.0.1.tar.gz 2024-03-12 15:04:00   2.7K  33.78 hours
5: waiting  PCMBase_1.2.14.tar.gz 2024-03-10 12:32:00   406K  84.32 hours
6: pending        MPCR_1.1.tar.gz 2024-02-22 11:07:00   903K 493.73 hours
edd@rob:~$ 
which is rather compact as CRAN kept busy! This call runs in about (or just over) one second, which includes launching r. Good enough for me. From a well-connected EC2 instance it is about 800ms on the command-line. When I do I from here inside an R session it is maybe 700ms. And doing it over in Europe is faster still. (I am using ping=FALSE for these to omit the default sanity check of can I haz networking? to speed things up. The check adds another 200ms or so.) The function (and the wrapper) offer a ton of options too this is ridiculously easy to do thanks to the docopt package:
edd@rob:~$ ciw.r -x
Usage: ciw.r [-h] [-x] [-a] [-m] [-i] [-t] [-p] [-w] [-r] [-s] [-n] [-u] [-l rows] [-z] [ARG...]

-m --mega           use 'mega' mode of all folders (see --usage)
-i --inspect        visit 'inspect' folder
-t --pretest        visit 'pretest' folder
-p --pending        visit 'pending' folder
-w --waiting        visit 'waiting' folder
-r --recheck        visit 'waiting' folder
-a --archive        visit 'archive' folder
-n --newbies        visit 'newbies' folder
-u --publish        visit 'publish' folder
-s --skipsort       skip sorting of aggregate results by age
-l --lines rows     print top 'rows' of the result object [default: 50]
-z --ping           run the connectivity check first
-h --help           show this help text
-x --usage          show help and short example usage 

where ARG... can be one or more file name, or directories or package names.

Examples:
  ciw.r -ip                            # run in 'inspect' and 'pending' mode
  ciw.r -a                             # run with mode 'auto' resolved in incoming()
  ciw.r                                # run with defaults, same as '-itpwr'

When no argument is given, 'auto' is selected which corresponds to 'inspect', 'waiting',
'pending', 'pretest', and 'recheck'. Selecting '-m' or '--mega' are select as default.

Folder selecting arguments are cumulative; but 'mega' is a single selections of all folders
(i.e. 'inspect', 'waiting', 'pending', 'pretest', 'recheck', 'archive', 'newbies', 'publish').

ciw.r is part of littler which brings 'r' to the command-line.
See https://dirk.eddelbuettel.com/code/littler.html for more information.
edd@rob:~$ 
The README at the git repo and the CRAN page offer a screenshot movie showing some of the options in action. I have been using the little tools quite a bit over the last two or three weeks since I first put it together and find it quite handy. With that again a big Thank You! of appcreciation for all that CRAN does which this week included letting this past the newbies desk in under 24 hours. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

11 March 2024

Dirk Eddelbuettel: digest 0.6.35 on CRAN: New xxhash code

Release 0.6.35 of the digest package arrived at CRAN today and has also been uploaded to Debian already. digest creates hash digests of arbitrary R objects. It can use a number different hashing algorithms (md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, spookyhash, blake3,crc32c and now also xxh3_64 and xxh3_128), and enables easy comparison of (potentially large and nested) R language objects as it relies on the native serialization in R. It is a mature and widely-used package (with 65.8 million downloads just on the partial cloud mirrors of CRAN which keep logs) as many tasks may involve caching of objects for which it provides convenient general-purpose hash key generation to quickly identify the various objects. This release updates the included xxHash version to the current verion 0.8.2 updating the existing xxhash32 and xxhash64 hash functions and also adding the newer xxh3_64 and xxh3_128 ones. We have a project at work using xxh3_128 from Python which made me realize having it from R would be nice too, and given the existing infrastructure in the package actually doing so was fairly quick and straightforward. My CRANberries provides a summary of changes to the previous version. For questions or comments use the issue tracker off the GitHub repo. For documentation (including the changelog) see the documentation site. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

7 March 2024

Dirk Eddelbuettel: prrd 0.0.6 at CRAN: Several Improvements

Thrilled to share that a new version of prrd arrived at CRAN yesterday in a first update in two and a half years. prrd facilitates the parallel running [of] reverse dependency [checks] when preparing R packages. It is used extensively for releases I make of Rcpp, RcppArmadillo, RcppEigen, BH, and others. prrd screenshot image The key idea of prrd is simple, and described in some more detail on its webpage and its GitHub repo. Reverse dependency checks are an important part of package development that is easily done in a (serial) loop. But these checks are also generally embarassingly parallel as there is no or little interdependency between them (besides maybe shared build depedencies). See the (dated) screenshot (running six parallel workers, arranged in a split byobu session). This release, the first since 2021, brings a number of enhancments. In particular, the summary function is now improved in several ways. Josh also put in a nice PR that generalizes some setup defaults and values. The release is summarised in the NEWS entry:

Changes in prrd version 0.0.6 (2024-03-06)
  • The summary function has received several enhancements:
    • Extended summary is only running when failures are seen.
    • The summariseQueue function now displays an anticipated completion time and remaining duration.
    • The use of optional package foghorn has been refined, and refactored, when running summaries.
  • The dequeueJobs.r scripts can receive a date argument, the date can be parse via anydate if anytime ins present.
  • The enqueeJobs.r now considers skipped package when running 'addfailed' while ensuring selecting packages are still on CRAN.
  • The CI setup has been updated (twice),
  • Enqueing and dequing functions and scripts now support relative directories, updated documentation (#18 by Joshua Ulrich).

Courtesy of my CRANberries, there is also a diffstat report for this release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

4 March 2024

Dirk Eddelbuettel: tinythemes 0.0.2 at CRAN: Maintenance

A first maintenance of the still fairly new package tinythemes arrived on CRAN today. tinythemes provides the theme_ipsum_rc() function from hrbrthemes by Bob Rudis in a zero (added) dependency way. A simple example is (also available as a demo inside the package) contrasts the default style (on left) with the one added by this package (on the right): This version mostly just updates to the newest releases of ggplot2 as one must, and takes advantage of Bob s update to hrbrthemes yesterday. The full set of changes since the initial CRAN release follows.

Changes in spdl version 0.0.2 (2024-03-04)
  • Added continuous integrations action based on r2u
  • Added demo/ directory and a READNE.md
  • Minor edits to help page content
  • Synchronised with ggplot2 3.5.0 via hrbrthemes

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the repo where comments and suggestions are welcome. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

3 March 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.1.0 on CRAN: Upstream Fix, Interface Polish

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1130 other packages on CRAN, downloaded 32.8 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 578 times according to Google Scholar. This release brings a new upstream bugfix release Armadillo 12.8.1 prepared by Conrad yesterday. It was delayed for a few hours as CRAN noticed an error in one package which we all concluded was spurious as it could be reproduced outside of the one run there. Following from the previous release, we also use the slighty faster Lighter header in the examples. And once it got to CRAN I also updated the Debian package. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.1.0 (2024-03-02)
  • Upgraded to Armadillo release 12.8.1 (Cortisol Injector)
    • Workaround in norm() for yet another bug in macOS accelerate framework
  • Update README for RcppArmadillo usage counts
  • Update examples to use '#include <RcppArmadillo/Lighter>' for faster compilation excluding unused Rcpp features

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

28 February 2024

Dirk Eddelbuettel: RcppEigen 0.3.4.0.0 on CRAN: New Upstream, At Last

We are thrilled to share that RcppEigen has now upgraded to Eigen release 3.4.0! The new release 0.3.4.0.0 arrived on CRAN earlier today, and has been shipped to Debian as well. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. This update has been in the works for a full two and a half years! It all started with a PR #102 by Yixuan bringing the package-local changes for R integration forward to usptream release 3.4.0. We opened issue #103 to steer possible changes from reverse-dependency checking through. Lo and behold, this just stalled because a few substantial changes were needed and not coming. But after a long wait, and like a bolt out of a perfectly blue sky, Andrew revived it in January with a reverse depends run of his own along with a set of PRs. That was the push that was needed, and I steered it along with a number of reverse dependency checks, and occassional emails to maintainers. We managed to bring it down to only three packages having a hickup, and all three had received PRs thanks to Andrew and even merged them. So the plan became to release today following a final fourteen day window. And CRAN was convinced by our arguments that we followed due process. So there it is! Big big thanks to all who helped it along, especially Yixuan and Andrew but also Mikael who updated another patch set he had prepared for the previous release series. The complete NEWS file entry follows.

Changes in RcppEigen version 0.3.4.0.0 (2024-02-28)
  • The Eigen version has been upgrade to release 3.4.0 (Yixuan)
  • Extensive reverse-dependency checks ensure only three out of over 400 packages at CRAN are affected; PRs and patches helped other packages
  • The long-running branch also contains substantial contributions from Mikael Jagan (for the lme4 interface) and Andrew Johnson (revdep PRs)

Courtesy of CRANberries, there is also a diffstat report for the most recent release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

8 February 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.0.0 on CRAN: New Upstream, Interface Polish

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1119 other packages on CRAN, downloaded 32.5 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 575 times according to Google Scholar. This release brings a new (stable) upstream (minor) release Armadillo 12.8.0 prepared by Conrad two days ago. We, as usual, prepared a release candidate which we tested against the over 1100 CRAN packages using RcppArmadillo. This found no issues, which was confirmed by CRAN once we uploaded and so it arrived as a new release today in a fully automated fashion. We also made a small change that had been prepared by GitHub issue #400: a few internal header files that were cluttering the top-level of the include directory have been moved to internal directories. The standard header is of course unaffected, and the set of full / light / lighter / lightest headers (matching we did a while back in Rcpp) also continue to work as one expects. This change was also tested in a full reverse-dependency check in January but had not been released to CRAN yet. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.0.0 (2024-02-06)
  • Upgraded to Armadillo release 12.8.0 (Cortisol Injector)
    • Faster detection of symmetric expressions by pinv() and rank()
    • Expanded shift() to handle sparse matrices
    • Expanded conv_to for more flexible conversions between sparse and dense matrices
    • Added cbrt()
    • More compact representation of integers when saving matrices in CSV format
  • Five non-user facing top-level include files have been removed (#432 closing #400 and building on #395 and #396)

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

2 February 2024

Dirk Eddelbuettel: RQuantLib 0.4.21 on CRAN: Maintenance

A new minor release 0.4.21 of RQuantLib arrived at CRAN this afternoon, and has already been uploaded to Debian as well. QuantLib is a rather comprehensice free/open-source library for quantitative finance. RQuantLib connects (some parts of) it to the R environment and language, and has been part of CRAN for more than twenty years (!!) as it was one of the first packages I uploaded there. This release of RQuantLib benefits from some kind attention that Jeroen has been paying to how we build (especially at CRAN) on both macOS and Windows. So the build processes are a little better now, and no internal code changed. QuantLib 1.33 built unchanged.

Changes in RQuantLib version 0.4.21 (2024-02-01)
  • Generalize macOS build to universal build (Jeroen in #179)
  • Generalize Windows build to arm64 (Jeroen in #181)
  • Generalize version string use to support cmake use (Jeroen in #181 fixing #180)
  • Minor update to 'ci.yaml' github action (Dirk)

Courtesy of my CRANberries, there is also a diffstat report for the this release. As always, more detailed information is on the RQuantLib page. Questions, comments etc should go to the rquantlib-devel mailing list. Issue tickets can be filed at the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

31 January 2024

Dirk Eddelbuettel: dtts 0.1.2 on CRAN: Maintenance

Leonardo and I are happy to announce the release of a very minor maintenance release 0.1.2 of our dtts package which has been on CRAN for a little under two years now. dtts builds upon our nanotime package as well as the beloved data.table to bring high-performance and high-resolution indexing at the nanosecond level to data frames. dtts aims to offers the time-series indexing versatility of xts (and zoo) to the immense power of data.table while supporting highest nanosecond resolution. This release follows yesterday s long-awaited release of data.table version 1.5.0 which had been some time in the making as the first new major.minor release since Matt drifted into being less active and the forefront. The release also renamed the one C-level API accessor to data.table (which was added, if memory serves, by Leonardo with our use in mind). So we have to catch up to the renamed identifier; this release does that, and adds a versioned imports statement on data.table. The short list of changes follows.

Changes in version 0.1.2 (2024-01-31)
  • Update the one exported C-level identifier from data.table following its 1.5.0 release and a renaming
  • Routine continuous integration updates

Courtesy of my CRANberries, there is also a report with diffstat for this release. Questions, comments, issue tickets can be brought to the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

25 January 2024

Dirk Eddelbuettel: qlcal 0.0.10 on CRAN: Calendar Updates

The tenth release of the qlcal package arrivied at CRAN today. qlcal delivers the calendaring parts of QuantLib. It is provided (for the R package) as a set of included files, so the package is self-contained and does not depend on an external QuantLib library (which can be demanding to build). qlcal covers over sixty country / market calendars and can compute holiday lists, its complement (i.e. business day lists) and much more. Examples are in the README at the repository, the package page, and course at the CRAN package page. This releases synchronizes qlcal with the QuantLib release 1.33 and its updates to 2024 calendars.

Changes in version 0.0.10 (2024-01-24)
  • Synchronized with QuantLib 1.33

Courtesy of my CRANberries, there is a diffstat report for this release. See the project page and package documentation for more details, and more examples. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

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