• Created ZeroCoolOS, a live operating system that plays the film Hackers (1995) on a continuous loop.
• Sent a patch for pristine-tar to allow storage of detached upstream signatures. (#871809)
• Worked more on Lintian, a static analysis tool for Debian packages, reporting on various errors, omissions and quality-assurance issues to the maintainer (previous changes):
  • Fix an apache2-unparsable-dependency false positive by allowing periods in dependency names. (#873701)
  • Ignore "repacked" packages when checking for upstream source tarball signatures as they will never match.
  • Downgrade the severity of orig-tarball-missing-upstream-signature. (#870722)
  • From a suggestion by Theodore Ts'o, expand the explanation of orig-tarball-missing-upstream-signature to include the location of where dpkg-source looks.
  • Address a number of issues in the copyright-year-in-future tag including preventing false positives in port numbers, email addresses, ISO standard numbers and street addresses (#869788), as well as "meta" or testing statements (#873323). In addition, report all violating years in a line and expand the testsuite.
  • Don't match quoted "FIXME" variants of file-contains-fixme-placeholder (#870199), avoid checking copyright_hints files (#872843) and downgrade the tag's severity.
  • Apply a patch from Alex Muntada to recommend "substr" over of "substring" in mentions-deprecated-usr-lib-perl5-directory. (#871767)
  • Prevent missing-build-dependency-for-dh_-command false positives exposed by following the advice in useless-autoreconf-build-depends. (#869541)
  • Ensure readme-debian-contains-debmake-template also checks for files containing "Automatically generated by debmake".
  • Check python3-foo packages have a Section: python, not just python2-foo. (#870272)
  • Check for packages shipping compiled Java class files. (#873211)
  • Additionally consider .cljc files to avoid codeless-jar warnings. (#870649)
  • Prevent desktop-entry-lacks-keywords-entry false positives for Link and Directory-style .desktop files. (#873702)
  • Split out Python checks from checks/scripts.pm check to a new, source check of type source.
  • Check for python-foo without a corresponding python3-foo package. (#870681)
  • Complain about packages that Build-Depend on python-sphinx only. (#870730)
  • Warn about packages that alternatively Build-Depend on the Python 2 and Python 3 versions of Sphinx. (#870758)
  • Check for packages that depend on Python 2.x. (#870822)
  • Correct false positives in unconditional-use-of-dpkg-statoverride by detecting "if !" as a shell prefix. (#869587)
  • Alert on for missing calls to dpkg-maintscript-helper(1) in maintainer scripts. (#872042)
  • Check for packages using sensible-utils without declaring a dependency after splitting from debianutils. (#872611)
  • Warn about scripts using nodejs as an interpreter now that the nodejs script provides /usr/bin/node. (#873096)
  • Remove recommendations to add a Testsuite: autopkgtest field to debian/control and emit a new tag the package if it does so. (#865531)
  • Recognise autopkgtest-pkg-elpa as a valid test suite. (#873458)
  • Add note to /etc/bash_completion.d's obsolete path warning output regarding stricter filename requirements. (#814599)
  • Add 4.0.1 and 4.1.0 as known Policy standards versions.
  • Apply a patch from Maia Everett to avoid British spellings under the en_US locale. (#868897)
  • Stop emitting maintainer,uploader -address-causes-mail-loops for @packages.debian.org addresses. (#871575)
  • Modify Lintian::Data's all subroutine to always return keys in insertion order.
  • Apply a patch from Steve Langasek to accomodate binutils outputting symbols in a different format on the ppc64el architecture. (#869750)
  • Add an explicit test for packages including external fonts via the Google Font and TypeKit APIs. (#873434)
  • Add missing entries in internal Test-For fields to make development/testing workflow less error-prone.
• Sent three pull requests to git-buildpackage, a tool to assist in Debian packaging from Git repositories:
  • Make pq --abbrev= configurable. (#872351)
  • Use build profiles to avoid installation of test dependencies. (#31)
  • Correct "allow to" grammar. (#30)
• Updated travis.debian.net (my hosted service for projects that host their Debian packaging on GitHub to use the Travis CI continuous integration platform for testing):
  • Move away from deb.debian.org; Travis appears to be using a HTTP proxy that strips SRV records. (commit)
  • Highlight double quotes are required for TRAVIS_DEBIAN_EXTRA_REPOSITORY. (commit)
  • Use force-unsafe-io. (commit)
  • Clarify docs when upstream already has a travis.yml file. (#46)
  • Make documentation easier to copy-paste. (commit)
• Merged a pull request in django-slack, my library to easily post messages to the Slack group-messaging utility, where instantiation of a SlackException was failing. (#71)
• Assigned two pull requests to the Redis key-value database store to correct "did not received" and "faield" typos. (#4216 & #4215).

The Buffer Descriptor Table The BTABLE is arranged in quads of 16bit words. For "normal" endpoints this is a pair of descriptors, each consisting of two words, one for transmission, and one for reception. The STM32 also has a concept of double buffered endpoints, but we're not going to consider those in our proof-of-concept work. The STM32 allows for up to eight endpoints (EP0 through EP7) in internal register naming, though they support endpoints numbered from zero to fifteen in the sense of the endpoint address numbering. As such there're eight descriptors each four 16bit words long (eight bytes) making for a buffer descriptor table which is 64 bytes in size at most.

Buffer Descriptor Table

Byte offset in PMA	Field name	Description
(EPn * 8) + 0	USB_ADDRn_TX	The address (inside the PMA) of the TX buffer for EPn
(EPn * 8) + 2	USB_COUNTn_TX	The number of bytes present in the TX buffer for EPn
(EPn * 8) + 4	USB_ADDRn_RX	The address (inside the PMA) of the RX buffer for EPn
(EPn * 8) + 6	USB_COUNTn_RX	The number of bytes of space available for the RX buffer for EPn (and once received, the number of bytes received)

The TX entries are trivial to comprehend. To transmit a packet, part of the process involves writing the packet into the PMA, putting the address into the appropriate USB_ADDRn_TX entry, and the length into the corresponding USB_COUNTn_TX entry, before marking the endpoint as ready to transmit. To receive a packet though is slightly more complex. The application must allocate some space in the PMA, setting the address into the USB_ADDRn_RX entry of the BTABLE before filling out the top half of the USB_COUNTn_RX entry. For ease of bit sizing, the STM32 only supports space allocations of two to sixty-two bytes in steps of two bytes at a time, or thirty-two to five-hundred-twelve bytes in steps of thirty-two bytes at a time. Once the packet is received, the USB peripheral will fill out the lower bits of the USB_COUNTn_RX entry with the actual number of bytes filled out in the buffer.

Packets themselves Since packets are, typically, a maximum of 64 bytes long (for USB 2.0) and are simply sequences of bytes with no useful structure to them (as far as the USB peripheral itself is concerned) the PMA simply requires that they be present and contiguous in PMA memory space. Addresses of packets are relative to the base of the PMA and are byte-addressed, however they cannot start on an odd byte, so essentially they are 16bit addressed. Since the BTABLE can be anywhere within the PMA, as can the packets, the application will have to do some memory management (either statically, or dynamically) to manage the packets in the PMA.

Accessing the PMA The PMA is accessed in 16bit word sections. It's not possible to access single bytes of the PMA, nor is it conveniently structured as far as the CPU is concerned. Instead the PMA's 16bit words are spread on 32bit word boundaries as far as the CPU knows. This is done for convenience and simplicity of hardware, but it means that we need to ensure our library code knows how to deal with this. First up, to convert an address in the PMA into something which the CPU can use we need to know where in the CPU's address space the PMA is. Fortunately this is fixed at 0x4000_6000. Secondly we need to know what address in the PMA we wish to access, so we can determine which 16bit word that is, and thus what the address is as far as the CPU is concerned. If we assume we only ever want to access 16bit entries, we can just multiply the PMA offset by two before adding it to the PMA base address. So, to access the 16bit word at byte-offset 8 in the PMA, we'd look for the 16bit word at 0x4000_6000 + (0x08 * 2) => 0x4000_6010.

Bundling the PMA into something we can use I said we'd do some Rust, and so we shall

    // Thanks to the work by Jorge Aparicio, we have a convenient wrapper
    // for peripherals which means we can declare a PMA peripheral:
    pub const PMA: Peripheral<PMA> = unsafe   Peripheral::new(0x4000_6000)  ;
    // The PMA struct type which the peripheral will return a ref to
    pub struct PMA  
        pma_area: PMA_Area,
     
    // And the way we turn that ref into something we can put a useful impl on
    impl Deref for PMA  
        type Target = PMA_Area;
        fn deref(&self) -> &PMA_Area  
            &self.pma_area
         
     
    // This is the actual representation of the peripheral, we use the C repr
    // in order to ensure it ends up packed nicely together
    #[repr(C)]
    pub struct PMA_Area  
        // The PMA consists of 256 u16 words separated by u16 gaps, so lets
        // represent that as 512 u16 words which we'll only use every other of.
        words: [VolatileCell<u16>; 512],
     

That block of code gives us three important things. Firstly a peripheral object which we will be able to (later) manage nicely as part of the set of peripherals which RTFM will look after for us. Secondly we get a convenient packed array of u16s which will be considered volatile (the compiler won't optimise around the ordering of writes etc). Finally we get a struct on which we can hang an implementation to give our PMA more complex functionality. A useful first pair of functions would be to simply let us get and put u16s in and out of that word array, since we're only using every other word

    impl PMA_Area  
        pub fn get_u16(&self, offset: usize) -> u16  
            assert!((offset & 0x01) == 0);
            self.words[offset].get()
         
        pub fn set_u16(&self, offset: usize, val: u16)  
            assert!((offset & 0x01) == 0);
            self.words[offset].set(val);
         
     

These two functions take an offset in the PMA and return the u16 word at that offset. They only work on u16 boundaries and as such they assert that the bottom bit of the offset is unset. In a release build, that will go away, but during debugging this might be essential. Since we're only using 16bit boundaries, this means that the first word in the PMA will be at offset zero, and the second at offset two, then four, then six, etc. Since we allocated our words array to expect to use every other entry, this automatically converts into the addresses we desire. If we pop (and please don't worry about the unsafe stuff for now):

    unsafe   (&*usb::pma::PMA.get()).set_u16(4, 64);  

into our main function somewhere, and then build and objdump our test binary we can see the following set of instructions added:

 80001e4:   f246 0008   movw    r0, #24584  ; 0x6008
 80001e8:   2140        movs    r1, #64 ; 0x40
 80001ea:   f2c4 0000   movt    r0, #16384  ; 0x4000
 80001ee:   8001        strh    r1, [r0, #0]

This boils down to a u16 write of 0x0040 (64) to the address 0x4006008 which is the third 32 bit word in the CPU's view of the PMA memory space (where offset 4 is the third 16bit word) which is exactly what we'd expect to see. We can, from here, build up some functions for manipulating a BTABLE, though the most useful ones for us to take a look at are the RX counter functions:

    pub fn get_rxcount(&self, ep: usize) -> u16  
        self.get_u16(BTABLE + (ep * 8) + 6) & 0x3ff
     
    pub fn set_rxcount(&self, ep: usize, val: u16)  
        assert!(val <= 1024);
        let rval: u16 =  
            if val > 62  
                assert!((val & 0x1f) == 0);
                (((val >> 5) - 1) << 10)   0x8000
              else  
                assert!((val & 1) == 0);
                (val >> 1) << 10
             
         ;
        self.set_u16(BTABLE + (ep * 8) + 6, rval)
     

The getter is fairly clean and clear, we need the BTABLE base in the PMA, add the address of the USB_COUNTn_RX entry to that, retrieve the u16 and then mask off the bottom ten bits since that's the size of the relevant field. The setter is a little more complex, since it has to deal with the two possible cases, this isn't pretty and we might be able to write some better peripheral structs in the future, but for now, if the length we're setting is 62 or less, and is divisible by two, then we put a zero in the top bit, and the number of 2-byte lumps in at bits 14:10, and if it's 64 or more, we mask off the bottom to check it's divisible by 32, and then put the count (minus one) of those blocks in, instead, and set the top bit to mark it as such. Fortunately, when we set constants, Rust's compiler manages to optimise all this very quickly. For a BTABLE at the bottom of the PMA, and an initialisation statement of:

    unsafe   (&*usb::pma::PMA.get()).set_rxcount(1, 64);  

then we end up with the simple instruction sequence:

80001e4:    f246 001c   movw    r0, #24604  ; 0x601c
80001e8:    f44f 4104   mov.w   r1, #33792  ; 0x8400
80001ec:    f2c4 0000   movt    r0, #16384  ; 0x4000
80001f0:    8001        strh    r1, [r0, #0]

We can decompose that into a C like *((u16*)0x4000601c) = 0x8400 and from there we can see that it's writing to the u16 at 0x1c bytes into the CPU's view of the PMA, which is 14 bytes into the PMA itself. Since we know we set the BTABLE at the start of the PMA, it's 14 bytes into the BTABLE which is firmly in the EP1 entries. Specifically it's USB_COUNT1_RX which is what we were hoping for. To confirm this, check out page 651 of the datasheet. The value set was 0x8400 which we can decompose into 0x8000 and 0x0400. The first is the top bit and tells us that BL_SIZE is one, and thus the blocks are 32 bytes long. Next the 0x4000 if we shift it right ten places, we get the value 2 for the field NUM_BLOCK and multiplying 2 by 32 we get the 64 bytes we asked it to set as the size of the RX buffer. It has done exactly what we hoped it would, but the compiler managed to optimise it into a single 16 bit store of a constant value to a constant location. Nice and efficient. Finally, let's look at what happens if we want to write a packet into the PMA. For now, let's assume packets come as slices of u16s because that'll make our life a little simpler:

    pub fn write_buffer(&self, base: usize, buf: &[u16])  
        for (ofs, v) in buf.iter().enumerate()  
            self.set_u16(base + (ofs * 2), *v);
         
     

Yes, even though we're deep in no_std territory, we can still get an iterator over the slice, and enumerate it, getting a nice iterator of (index, value) though in this case, the value is a ref to the content of the slice, so we end up with *v to deref it. I am sure I could get that automatically happening but for now it's there. Amazingly, despite using iterators, enumerators, high level for loops, function calls, etc, if we pop:

    unsafe   (&*usb::pma::PMA.get()).write_buffer(0, &[0x1000, 0x2000, 0x3000]);  

into our main function and compile it, we end up with the instruction sequence:

80001e4:    f246 0000   movw    r0, #24576  ; 0x6000
80001e8:    f44f 5180   mov.w   r1, #4096   ; 0x1000
80001ec:    f2c4 0000   movt    r0, #16384  ; 0x4000
80001f0:    8001        strh    r1, [r0, #0]
80001f2:    f44f 5100   mov.w   r1, #8192   ; 0x2000
80001f6:    8081        strh    r1, [r0, #4]
80001f8:    f44f 5140   mov.w   r1, #12288  ; 0x3000
80001fc:    8101        strh    r1, [r0, #8]

which, as you can see, ends up being three sequential halfword stores directly to the right locations in the CPU's view of the PMA. You have to love seriously aggressive compile-time optimisation Hopefully, by next time, we'll have layered some more pleasant routines on our PMA code, and begun a foray into the setup necessary before we can begin handling interrupts and start turning up on a USB port.

• I should have mentioned Standalone-VM (=non-template based VMs) in the talk, as those are also possible, and sometimes handy.
• IPv6 works with manual fiddling (but this is undocumented)
• I've given Salt (for configuation management) a short try (with the help of an experienced Salt users, thanks nodens!) and I must say I'm not impressed yet. But Qubes 4.0 will bring huge changes to this area (including introducing an AdminVM), so while I will not use Salt for the time I'll still be using Qubes 3.2, I will come back and look at this later.
• after adding a single line containing "iwldvm iwlwifi" to /rw/config/suspend-module-blacklist in the NetVM the wireless comes back nicely (on my X230) after Suspend/Resume.

Remember, Mastodon is a new decentralized social network, based on a free software which is rapidly gaining users (already there is more than 1.5 million accounts). As I ve created my account in June, I was a fast addict and I ve already created several tools for this network, Feed2toot, Remindr and Boost (mostly written in Python).

Now, with all this experience I have to stress out the importance of choosing the correct Mastodon instance.

Some technical reminders on how Mastodon works

First, let s quickly clarify something about the decentralized part. In Mastodon, decentralization is made through a federation of dedicated servers, called instances , each one with a complete independent administration. Your user account is created on one specific instance. You have two choices:

• Create your own instance. Which requires advanced technical knowledge.
• Create your user account on a public instance. Which is the easiest and fastest way to start using Mastodon.

You can move your user account from one instance to another, but you have to follow a special procedure which can be quite long, considering your own interest for technical manipulation and the total amount of your followers you ll have to warn about your change. As such, you ll have to create another account on a new instance and import three lists: the one with your followers, the one with the accounts you have blocked, and the one with the account you have muted.

From this working process, several technical and human factors will interest us.

A good technical administration for instance

As a social network, Mastodon is truly decentralized, with more than 1.5 million users on more than 2350 existing instances. As such, the most common usage is to create an account on an open instance. To create its own instance is way too difficult for the average user. Yet, using an open instance creates a strong dependence on the technical administrator of the chosen instance.

The technical administrator will have to deal with several obligations to ensure its service continuity, with high-quality hardware and regular back-ups. All of these have a price, either in money and in time. Regarding the time factor, it would be better to choose an administration team over an individual, as life events can change quite fast everyone s interests. As such, Framasoft, a French association dedicated to promoting the Free software use, offers its own Mastodon instance named: Framapiaf. The creator of the mastodon project, also offers a quite solid instance, Mastodon.social (see below).

Regarding the money factor, many instance administrators with a large number of users are currently asking for donation via Patreon, as hosting an instance server or renting one cost money.

Mastodon.social, the first instance of the Mastodon network

The Ideological Trend Of Your Instance

If anybody could have guessed the previous technical points since the recent registration explosion on the Mastodon social network, the following point took almost everyone by surprise. Little by little, different instances show their culture , their protest action, and their propaganda on this social network.

As the instance administrator has all the powers over its instance, he or she can block the instance of interacting with some other instances, or ban its instance s users from any interaction with other instances users.

With everyone having in mind the main advantages to have federalized instance from, this partial independence of some instances from the federation was a huge surprise. One of the most recent example was when the Unixcorn.xyz instance administrator banned its users from reading Aeris account, which was on its own instance. It was a cataclysm with several consequences, which I ve named the #AerisGate as it shows the different views on moderation and on its reception by various Mastodon users.

If you don t manage your own instance, when you ll have to choose the one where to create your account, make sure that the content you plan to toot is within the rules and compatible with the ideology of said instance s administrator. Yes, I know, it may seem surprising but, as stated above, by entering a public instance you become dependent on someone else s infrastructure, who may have an ideological way to conceive its Mastodon hosting service. As such, if you re a nazi, for example, don t open your Mastodon account on a far-left LGBT instance. Your account wouldn t stay open for long.

The moderation rules are described in the about/more page of the instance, and may contain ideological elements.

To ease the process for newcomers, it is now possible to use a great tool to select what instance should be the best to host your account.

Remember that, as stated above, Mastodon is decentralized, and as such there is no central authority which can be reached in case you have a conflict with your instance administrator. And nobody can force said administrator to follow its own rules, or not to change them on the fly. Think Twice Before Creating Your Account

If you want to create an account on an instance you don t control, you need to check two elements: the availability of the instance hosting service in the long run, often linked to the administrator or the administration group of said instance, and the ideological orientation of your instance. With these two elements checked, you ll be able to let your Mastodon account growth peacefully, without fearing an outage of your instance, or simple your account blocked one morning because it doesn t align with your instance s ideological line.

in Conclusion

To help me get involved in free software and writing articles for this blog, please consider a donation through my Liberapay page, even if it s only a few cents per week. My contact Bitcoin and Monero are also available on this page. Follow me on Mastodon Translated from French to English by St phanie Chaptal.

When the rumor mill starts Sullivan gave a recent example of the claim of the decline of copyleft in an article on Opensource.com by Jono Bacon from February 2017 that showed a histogram of license usage between 2010 and 2017 (seen below).

From that, Bacon elaborates possible reasons for the apparent decline of the GPL. The graphic used in the article was actually generated by Stephen O'Grady in a January article, The State Of Open Source Licensing, which said:

In Black Duck's sample, the most popular variant of the GPL version 2 is less than half as popular as it was (46% to 19%). Over the same span, the permissive MIT has gone from 8% share to 29%, while its permissive cousin the Apache License 2.0 jumped from 5% to 15%.

Sullivan, however, argued that the methodology used to create both articles was problematic. Neither contains original research: the graphs actually come from the Black Duck Software "KnowledgeBase" data, which was partly created from the old Ohloh web site now known as Open Hub. To show one problem with the data, Sullivan mentioned two free-software projects, GNU Bash and GNU Emacs, that had been showcased on the front page of Ohloh.net in 2012. On the site, Bash was (and still is) listed as GPLv2+, whereas it changed to GPLv3 in 2011. He also claimed that "Emacs was listed as licensed under GPLv3-only, which is a license Emacs has never had in its history", although I wasn't able to verify that information from the Internet archive. Basically, according to Sullivan, "the two projects featured on the front page of a site that was using [the Black Duck] data set were wrong". This, in turn, seriously brings into question the quality of the data:

I reported this problem and we'll continue to do that but when someone is not sharing the data set that they're using for other people to evaluate it and we see glimpses of it which are incorrect, that should give us a lot of hesitation about accepting any conclusion that comes out of it.

Reproducible observations are necessary to the establishment of solid theories in science. Sullivan didn't try to contact Black Duck to get access to the database, because he assumed (rightly, as it turned out) that he would need to "pay for the data under terms that forbid you to share that information with anybody else". So I wrote Black Duck myself to confirm this information. In an email interview, Patrick Carey from Black Duck confirmed its data set is proprietary. He believes, however, that through a "combination of human and automated techniques", Black Duck is "highly confident at the accuracy and completeness of the data in the KnowledgeBase". He did point out, however, that "the way we track the data may not necessarily be optimal for answering the question on license use trend" as "that would entail examination of new open source projects coming into existence each year and the licenses used by them". In other words, even according to Black Duck, its database may not be useful to establish the conclusions drawn by those articles. Carey did agree with those conclusions intuitively, however, saying that "there seems to be a shift toward Apache and MIT licenses in new projects, though I don't have data to back that up". He suggested that "an effective way to answer the trend question would be to analyze the new projects on GitHub over the last 5-10 years." Carey also suggested that "GitHub has become so dominant over the recent years that just looking at projects on GitHub would give you a reasonable sampling from which to draw conclusions".

Indeed, GitHub published a report in 2015 that also seems to confirm MIT's popularity (45%), surpassing copyleft licenses (24%). The data is, however, not without its own limitations. For example, in the above graph going back to the inception of GitHub in 2008, we see a rather abnormal spike in 2013, which seems to correlate with the launch of the choosealicense.com site, described by GitHub as "our first pass at making open source licensing on GitHub easier". In his talk, Sullivan was critical of the initial version of the site which he described as biased toward permissive licenses. Because the GitHub project creation page links to the site, Sullivan explained that the site's bias could have actually influenced GitHub users' license choices. Following a talk from Sullivan at FOSDEM 2016, GitHub addressed the problem later that year by rewording parts of the front page to be more accurate, but that any change in license choice obviously doesn't show in the report produced in 2015 and won't affect choices users have already made. Therefore, there can be reasonable doubts that GitHub's subset of software projects may not actually be that representative of the larger free-software community.

In search of solid evidence So it seems we are missing good, reproducible results to confirm or dispel these claims. Sullivan explained that it is a difficult problem, if only in the way you select which projects to analyze: the impact of a MIT-licensed personal wiki will obviously be vastly different from, say, a GPL-licensed C compiler or kernel. We may want to distinguish between active and inactive projects. Then there is the problem of code duplication, both across publication platforms (a project may be published on GitHub and SourceForge for example) but also across projects (code may be copy-pasted between projects). We should think about how to evaluate the license of a given project: different files in the same code base regularly have different licenses often none at all. This is why having a clear, documented and publicly available data set and methodology is critical. Without this, the assumptions made are not clear and it is unreasonable to draw certain conclusions from the results. It turns out that some researchers did that kind of open research in 2016 in a paper called "The Debsources Dataset: Two Decades of Free and Open Source Software" [PDF] by Matthieu Caneill, Daniel M. Germ n, and Stefano Zacchiroli. The Debsources data set is the complete Debian source code that covers a large history of the Debian project and therefore includes thousands of free-software projects of different origins. According to the paper:

The long history of Debian creates a perfect subject to evaluate how FOSS licenses use has evolved over time, and the popularity of licenses currently in use.

Sullivan argued that the Debsources data set is interesting because of its quality: every package in Debian has been reviewed by multiple humans, including the original packager, but also by the FTP masters to ensure that the distribution can legally redistribute the software. The existence of a package in Debian provides a minimal "proof of use": unmaintained packages get removed from Debian on a regular basis and the mere fact that a piece of software gets packaged in Debian means at least some users found it important enough to work on packaging it. Debian packagers make specific efforts to avoid code duplication between packages in order to ease security maintenance. The data set covers a period longer than Black Duck's or GitHub's, as it goes all the way back to the Hamm 2.0 release in 1998. The data and how to reproduce it are freely available under a CC BY-SA 4.0 license.

Sullivan presented the above graph from the research paper that showed the evolution of software license use in the Debian archive. Whereas previous graphs showed statistics in percentages, this one showed actual absolute numbers, where we can't actually distinguish a decline in copyleft licenses. To quote the paper again:

The top license is, once again, GPL-2.0+, followed by: Artistic-1.0/GPL dual-licensing (the licensing choice of Perl and most Perl libraries), GPL-3.0+, and Apache-2.0.

Indeed, looking at the graph, at most do we see a rise of the Apache and MIT licenses and no decline of the GPL per se, although its adoption does seem to slow down in recent years. We should also mention the possibility that Debian's data set has the opposite bias: toward GPL software. The Debian project is culturally quite different from the GitHub community and even the larger free-software ecosystem, naturally, which could explain the disparity in the results. We can only hope a similar analysis can be performed on the much larger Software Heritage data set eventually, which may give more representative results. The paper acknowledges this problem:

Debian is likely representative of enterprise use of FOSS as a base operating system, where stable, long-term and seldomly updated software products are desirable. Conversely Debian is unlikely representative of more dynamic FOSS environments (e.g., modern Web-development with micro libraries) where users, who are usually developers themselves, expect to receive library updates on a daily basis.

The Debsources research also shares methodology limitations with Black Duck: while Debian packages are reviewed before uploading and we can rely on the copyright information provided by Debian maintainers, the research also relies on automated tools (specifically FOSSology) to retrieve license information. Sullivan also warned against "ascribing reason to numbers": people may have different reasons for choosing a particular license. Developers may choose the MIT license because it has fewer words, for compatibility reasons, or simply because "their lawyers told them to". It may not imply an actual deliberate philosophical or ideological choice. Finally, he brought up the theory that the rise of non-copyleft licenses isn't necessarily at the detriment of the GPL. He explained that, even if there is an actual decline, it may not be much of a problem if there is an overall growth of free software to the detriment of proprietary software. He reminded the audience that non-copyleft licenses are still free software, according to the FSF and the Debian Free Software Guidelines, so their rise is still a positive outcome. Even if the GPL is a better tool to accomplish the goal of a free-software world, we can all acknowledge that the conversion of proprietary software to more permissive and certainly simpler licenses is definitely heading in the right direction.

[I would like to thank the DebConf organizers for providing meals for me during the conference.] Note: this article first appeared in the Linux Weekly News.

• Remindr on Gitlab.com (would be awesome starring it if you like/use it)
• The official documentation on Readthedocs.io

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• JPEG is really impressive technology. It's made in 1992, and it's still frighteningly close to state of the art! Beating it without getting a lot slower isn't trivial at all; witness that even with WebP etc., we still don't have a JPEG-killer because it's just so incredibly good. (Granted, in 1992, decompressing a JPEG would easily take half a minute or more.)
• rANS is pretty neat; it gives you almost all the advantages of arithmetic coding, but does without divisions in the decoder (and if you have static probabilities and fast high multiplies, also in the encoder). I still don't feel like I understand it fully, though. And it has the odd property of having to encode and decode in different directions, which may or may not be a problem to you. But ryg's interleaving tricks to get SIMD are pretty nice; I won't claim to fully understand those either. Maybe I will need to eventually.
• GPU performance models continue to bend my head. GPUs may have managed to make a parallel programming model that people actually manage to use, but getting really high performance out of compute shaders is still hard to get use to.
• It really annoys me that Quick Sync doesn't support luma-only encoding (ie. 4:0:0); the best you can do is seemingly 4:2:0 and then have empty chroma planes, which wastes resources. It would have been a nice way to hack around the limitation that you can't have 4:2:2 or alpha.
• Time-frequency switching is the solution to a problem that sounds trivial if you're a DSP beginner and nearly impossible if you've actually done some DSP. I'm not intuitively convinced it's worth it if you have fast float muladds, but it's pretty neat. Allowing multiple block sizes to an intraframe codec has a cost in that you'll need a size decision heuristic, though, which pretty much instantly complicates the encoder.

Lookup trie implementation Looking up a prefix in a routing table comes down to find the most specific entry matching the requested destination. A common structure for this task is the trie, a tree structure where each node has its parent as prefix. With IPv4, Linux uses a level-compressed trie (or LPC-trie), providing good performances with low memory usage. For IPv6, Linux uses a more classic radix tree (or Patricia trie). There are three reasons for not sharing:

• The IPv6 implementation (introduced in Linux 2.1.8, 1996) predates the IPv4 implementation based on LPC-tries (in Linux 2.6.13, commit 19baf839ff4a).
• The feature set is different. Notably, IPv6 supports source-specific routing¹ (since Linux 2.1.120, 1998).
• The IPv4 address space is denser than the IPv6 address space. Level-compression is therefore quite efficient with IPv4. This may not be the case with IPv6.

The trie in the below illustration encodes 6 prefixes: For more in-depth explanation on the different ways to encode a routing table into a trie and a better understanding of radix trees, see the explanations for IPv4. The following figure shows the in-memory representation of the previous radix tree. Each node corresponds to a struct fib6_node. When a node has the RTN_RTINFO flag set, it embeds a pointer to a struct rt6_info containing information about the next-hop. The fib6_lookup_1() function walks the radix tree in two steps:

1. walking down the tree to locate the potential candidate, and
2. checking the candidate and, if needed, backtracking until a match.

Here is a slightly simplified version without source-specific routing:

static struct fib6_node *fib6_lookup_1(struct fib6_node *root,
                                       struct in6_addr  *addr)
 
    struct fib6_node *fn;
    __be32 dir;
    /* Step 1: locate potential candidate */
    fn = root;
    for (;;)  
        struct fib6_node *next;
        dir = addr_bit_set(addr, fn->fn_bit);
        next = dir ? fn->right : fn->left;
        if (next)  
            fn = next;
            continue;
         
        break;
     
    /* Step 2: check prefix and backtrack if needed */
    while (fn)  
        if (fn->fn_flags & RTN_RTINFO)  
            struct rt6key *key;
            key = fn->leaf->rt6i_dst;
            if (ipv6_prefix_equal(&key->addr, addr, key->plen))  
                if (fn->fn_flags & RTN_RTINFO)
                    return fn;
             
         
        if (fn->fn_flags & RTN_ROOT)
            break;
        fn = fn->parent;
     
    return NULL;
 

Caching While IPv4 lost its route cache in Linux 3.6 (commit 5e9965c15ba8), IPv6 still has a caching mechanism. However cache entries are directly put in the radix tree instead of a distinct structure. Since Linux 2.1.30 (1997) and until Linux 4.2 (commit 45e4fd26683c), almost any successful route lookup inserts a cache entry in the radix tree. For example, a router forwarding a ping between 2001:db8:1::1 and 2001:db8:3::1 would get those two cache entries:

$ ip -6 route show cache
2001:db8:1::1 dev r2-r1  metric 0
    cache
2001:db8:3::1 via 2001:db8:2::2 dev r2-r3  metric 0
    cache

These entries are cleaned up by the ip6_dst_gc() function controlled by the following parameters:

$ sysctl -a   grep -F net.ipv6.route
net.ipv6.route.gc_elasticity = 9
net.ipv6.route.gc_interval = 30
net.ipv6.route.gc_min_interval = 0
net.ipv6.route.gc_min_interval_ms = 500
net.ipv6.route.gc_thresh = 1024
net.ipv6.route.gc_timeout = 60
net.ipv6.route.max_size = 4096
net.ipv6.route.mtu_expires = 600

The garbage collector is triggered at most every 500 ms when there are more than 1024 entries or at least every 30 seconds. The garbage collection won t run for more than 60 seconds, except if there are more than 4096 routes. When running, it will first delete entries older than 30 seconds. If the number of cache entries is still greater than 4096, it will continue to delete more recent entries (but no more recent than 512 jiffies, which is the value of gc_elasticity) after a 500 ms pause. Starting from Linux 4.2 (commit 45e4fd26683c), only a PMTU exception would create a cache entry. A router doesn t have to handle those exceptions, so only hosts would get cache entries. And they should be pretty rare. Martin KaFai Lau explains:

Out of all IPv6 RTF_CACHE routes that are created, the percentage that has a different MTU is very small. In one of our end-user facing proxy server, only 1k out of 80k RTF_CACHE routes have a smaller MTU. For our DC traffic, there is no MTU exception.

Here is how a cache entry with a PMTU exception looks like:

$ ip -6 route show cache
2001:db8:1::50 via 2001:db8:1::13 dev out6  metric 0
    cache  expires 573sec mtu 1400 pref medium

Performance We consider three distinct scenarios:

Excerpt of an Internet full view

In this scenario, Linux acts as an edge router attached to the default-free zone. Currently, the size of such a routing table is a little bit above 40,000 routes.

/48 prefixes spread linearly with different densities

Linux acts as a core router inside a datacenter. Each customer or rack gets one or several /48 networks, which need to be routed around. With a density of 1, /48 subnets are contiguous.

/128 prefixes spread randomly in a fixed /108 subnet

Linux acts as a leaf router for a /64 subnet with hosts getting their IP using autoconfiguration. It is assumed all hosts share the same OUI and therefore, the first 40 bits are fixed. In this scenario, neighbor reachability information for the /64 subnet are converted into routes by some external process and redistributed among other routers sharing the same subnet².

Route lookup performance With the help of a small kernel module, we can accurately benchmark³ the ip6_route_output_flags() function and correlate the results with the radix tree size: Getting meaningful results is challenging due to the size of the address space. None of the scenarios have a fallback route and we only measure time for successful hits⁴. For the full view scenario, only the range from 2400::/16 to 2a06::/16 is scanned (it contains more than half of the routes). For the /128 scenario, the whole /108 subnet is scanned. For the /48 scenario, the range from the first /48 to the last one is scanned. For each range, 5000 addresses are picked semi-randomly. This operation is repeated until we get 5000 hits or until 1 million tests have been executed. The relation between the maximum depth and the lookup time is incomplete and I can t explain the difference of performance between the different densities of the /48 scenario. We can extract two important performance points:

• With a full view, the lookup time is 450 ns. This is almost ten times the budget for forwarding at 10 Gbps which is about 50 ns.
• With an almost empty routing table, the lookup time is 150 ns. This is still over the time budget for forwarding at 10 Gbps.

With IPv4, the lookup time for an almost empty table was 20 ns while the lookup time for a full view (500,000 routes) was a bit above 50 ns. How to explain such a difference? First, the maximum depth of the IPv4 LPC-trie with 500,000 routes was 6, while the maximum depth of the IPv6 radix tree for 40,000 routes is 40. Second, while both IPv4 s fib_lookup() and IPv6 s ip6_route_output_flags() functions have a fixed cost implied by the evaluation of routing rules, IPv4 has several optimizations when the rules are left unmodified⁵. Those optimizations are removed on the first modification. If we cancel those optimizations, the lookup time for IPv4 is impacted by about 30 ns. This still leaves a 100 ns difference with IPv6 to be explained. Let s compare how time is spent in each lookup function. Here is a CPU flamegraph for IPv4 s fib_lookup(): Only 50% of the time is spent in the actual route lookup. The remaining time is spent evaluating the routing rules (about 30 ns). This ratio is dependent on the number of routes we inserted (only 1000 in this example). It should be noted the fib_table_lookup() function is executed twice: once with the local routing table and once with the main routing table. The equivalent flamegraph for IPv6 s ip6_route_output_flags() is depicted below: Here is an approximate breakdown on the time spent:

• 50% is spent in the route lookup in the main table,
• 15% is spent in handling locking (IPv4 is using the more efficient RCU mechanism),
• 5% is spent in the route lookup of the local table,
• most of the remaining is spent in routing rule evaluation (about 100 ns)⁶.

Why does the evaluation of routing rules is less efficient with IPv6? Again, I don t have a definitive answer.

History The following graph shows the performance progression of route lookups through Linux history: All kernels are compiled with GCC 4.9 (from Debian Jessie). This version is able to compile older kernels as well as current ones. The kernel configuration is the default one with CONFIG_SMP, CONFIG_IPV6, CONFIG_IPV6_MULTIPLE_TABLES and CONFIG_IPV6_SUBTREES options enabled. Some other unrelated options are enabled to be able to boot them in a virtual machine and run the benchmark. There are three notable performance changes:

• In Linux 3.1, Eric Dumazet delays a bit the copy of route metrics to fix the undesirable sharing of route-specific metrics by all cache entries (commit 21efcfa0ff27). Each cache entry now gets its own metrics, which explains the performance hit for the non-/128 scenarios.
• In Linux 3.9, Yoshifuji Hideaki removes the reference to the neighbor entry in struct rt6_info (commit 887c95cc1da5). This should have lead to a performance increase. The small regression may be due to cache-related issues.
• In Linux 4.2, Martin KaFai Lau prevents the creation of cache entries for most route lookups. The most sensible performance improvement comes with commit 4b32b5ad31a6. The second one is from commit 45e4fd26683c, which effectively removes creation of cache entries, except for PMTU exceptions.

Insertion performance Another interesting performance-related metric is the insertion time. Linux is able to insert a full view in less than two seconds. For some reason, the insertion time is not linear above 50,000 routes and climbs very fast to 60 seconds for 500,000 routes. Despite its more complex insertion logic, the IPv4 subsystem is able to insert 2 million routes in less than 10 seconds.

Memory usage Radix tree nodes (struct fib6_node) and routing information (struct rt6_info) are allocated with the slab allocator⁷. It is therefore possible to extract the information from /proc/slabinfo when the kernel is booted with the slab_nomerge flag:

# sed -ne 2p -e '/^ip6_dst/p' -e '/^fib6_nodes/p' /proc/slabinfo   cut -f1 -d:
   name            <active_objs> <num_objs> <objsize> <objperslab> <pagesperslab>
fib6_nodes         76101  76104     64   63    1
ip6_dst_cache      40090  40090    384   10    1

In the above example, the used memory is 76104 64+40090 384 bytes (about 20 MiB). The number of struct rt6_info matches the number of routes while the number of nodes is roughly twice the number of routes: The memory usage is therefore quite predictable and reasonable, as even a small single-board computer can support several full views (20 MiB for each): The LPC-trie used for IPv4 is more efficient: when 512 MiB of memory is needed for IPv6 to store 1 million routes, only 128 MiB are needed for IPv4. The difference is mainly due to the size of struct rt6_info (336 bytes) compared to the size of IPv4 s struct fib_alias (48 bytes): IPv4 puts most information about next-hops in struct fib_info structures that are shared with many entries.

Conclusion The takeaways from this article are:

• upgrade to Linux 4.2 or more recent to avoid excessive caching,
• route lookups are noticeably slower compared to IPv4 (by an order of magnitude),
• CONFIG_IPV6_MULTIPLE_TABLES option incurs a fixed penalty of 100 ns by lookup,
• memory usage is fair (20 MiB for 40,000 routes).

Compared to IPv4, IPv6 in Linux doesn t foster the same interest, notably in term of optimizations. Hopefully, things are changing as its adoption and use at scale are increasing.

---

1. For a given destination prefix, it s possible to attach source-specific prefixes:

   ip -6 route add 2001:db8:1::/64 \
     from 2001:db8:3::/64 \
     via fe80::1 \
     dev eth0
   

   Lookup is first done on the destination address, then on the source address.
2. This is quite different of the classic scenario where Linux acts as a gateway for a /64 subnet. In this case, the neighbor subsystem stores the reachability information for each host and the routing table only contains a single /64 prefix.
3. The measurements are done in a virtual machine with one vCPU and no neighbors. The host is an Intel Core i5-4670K running at 3.7 GHz during the experiment (CPU governor set to performance). The benchmark is single-threaded. Many lookups are performed and the result reported is the median value. Timings of individual runs are computed from the TSC.
4. Most of the packets in the network are expected to be routed to a destination. However, this also means the backtracking code path is not used in the /128 and /48 scenarios. Having a fallback route gives far different results and make it difficult to ensure we explore the address space correctly.
5. The exact same optimizations could be applied for IPv6. Nobody did it yet.
6. Compiling out table support effectively removes those last 100 ns.
7. There is also per-CPU pointers allocated directly (4 bytes per entry per CPU on a 64-bit architecture). We ignore this detail.

1. Use threading module of python to send the server code in back ground and give it a callback to communicate the data to main thread.
2. Periodically read some messages from server code and then dispose of server.

from socket import socket, AF_INET, SOCK_DGRAM
class BroadCastReceiver:
    def __init__(self, port, msg_len=8192):
        self.sock = socket(AF_INET, SOCK_DGRAM)
        self.sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
        self.sock.bind(('', port))
        self.msg_len = msg_len
    def __iter__(self):
             return self
    def __next__(self):
             try:
                 addr, data = self.sock.recvfrom(self.msg_len)
                 return addr, data
             except Exception as e:
                 print("Got exception trying to recv %s" % e)
                 raise StopIteration

...
    def __init__(self, port, msg_len=8192, timeout=15):
        self.sock = socket(AF_INET, SOCK_DGRAM)
        self.sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
        self.sock.settimeout(timeout)
        self.sock.msg_len = msg_len
        self.sock.bind(('', port))
 ...

...
    def __del__(self):
        self.sock.close()

r = BroadCastReceiver(5000, timeout=10)
count = 0
for (address, data) in r:
    print('Got packet from %s: %s' % address, data)
    count += 1
    # do whatever you want with data
    if count > 10:
        break

r = BroadCastReceiver(5000,  timeout=10)
for i in range(20):
    try:
        address, data = next(r)
        # do whatever you want with data
    except:
        break

...
    def __enter__(self):
        return self
    def __exit__(self, exc_type, exc_value, traceback):
        self.sock.close()

with BroadCastReceiver(2000) as r:
    # use server object as you wish
    ...

def __next__(self):
    try:
        addr, data = self.sock.recvfrom(self.msg_len)
        return addr, data
    except Exception as e:
        print("Got exception trying to recv %s" % e)
        raise StopIteration
    finally:
        self.sock.close()

GNU Ring project with GNU organisation

1. Me Before getting into the thick of my project, let me present myself:
I am Olivier Gr goire (Gasuleg), and I study IT engineering at cole de Technologie Sup rieure in Montreal.
I am a technician in electronics, and I study now computing sciences.
I applied to GSoC because I love the concept of the project that I worked on and I really wanted to be part of it.

2. My Project During this GSoC, I worked on the GNU Ring project.
What is ring?

• A telephone: a simple tool to connect, communicate and share.
• A teleconferencing tool: easily join calls to create conferences with multiple participants.
• A media sharing tool: Ring supports a variety of video input options, including mutliple cameras and image and video files, and the selection of audio inputs and outputs; all this is supported by multiple high quality audio and video codecs.
• A messenger: send text messeges during calls or out of calls (as long as your peer is connected).
• A building block for your IoT project: re-use the universal communications technology of Ring with its portable library on your system of choice.
  ring.cx

What I need to do?
This project is, at the moment, unstable due to a lack of automated tests. Only a part of the code is tested. I need to improve this.
To do that, I need to:

• Research and test automation strategies that integrate the compilation system and Jenkins verification like the SIP tests
• Implement some unit tests to check the components
  

See more in my proposal!

3. The Code Links to my work
Here are the links to the code I was working on all throughout the Google Summer of Code:

Patch	Status
Black box testing sip	Merged
New unit test: smartools	Merged
New unit test:account_factory	Merged
New unit test: util classes	On Review
New unit test: archiver, conference, preferences	On Review
New unit test: dring, threadloop	On Review
Documentation	On Review
Refactoring + video_input unit test	Abandoned

How to use the code?
Follow the instructions to build the daemon and instead of doing make , do make check . You will see something composed of:

• Test automation strategies
  
  
• Unit test
  

Some explanations of the code
The tests are based on CPPunit framework.
I created some Black box testing to do some calls using SIP protocol. To do that, I created scenarios using SIPp .
I also create a lot of unit tests.
Difficulties encountered
My project was a little bit difficult to setup because I never touch autotools before that.
The sip tests were not really difficult to create. SIPp is really easy to use.
The unit test part was more tricky. It s really easier to do the tests before coding like the Test-driven_development said. Here the code is already written and I need to test it. So, I needed to create tests based on the code and not what he needed to do. Also, I got some issues with classes who were really linked together so I couldn t make unit test with it.

4. What s next?

• Merge all the patchs
• Add gcov to know the code coverage
• Increase the code coverage

5. Thanks I would like to thank the following:

• The Google Summer of Code organisation, for this wonderful experience.
  
• GNU, for accepting my project proposal and letting me embark on this fantastic adventure.
  
• My mentor, Mr Guillaume Roguez, and all the ring team, for being there to help me.

• Antoine Beaupr did 20h (out of 16h allocated + 4 extra hours).
• Ben Hutchings did 14 hours (out of 15h allocated, thus keeping 1 extra hour for August).
• Chris Lamb did 18 hours.
• Emilio Pozuelo Monfort did 18.5 hours (out of 23.5 hours allocated + 8 hours remaining, thus keeping 13 hours for August).
• Guido G nther did 10 hours.
• Hugo Lefeuvre did nothing due to personal problems (out of 2h allocated + 10 extra hours, thus keeping 12 extra hours for August).
• Markus Koschany did 23.5 hours.
• Ola Lundqvist did not publish his report yet (out of 14h allocated + 2 extra hours).
• Rapha l Hertzog did 7 hours (out of 12 hours allocated but he gave back his remaining hours).
• Roberto C. Sanchez did 19.5 hours (out of 23.5 hours allocated + 12 hours remaining, thus keeping 16 extra hours for August).
• Thorsten Alteholz did 23.5 hours.

• Platinum sponsors:
• TOSHIBA (for 22 months)
• GitHub (for 13 months)
• Gold sponsors:
• The Positive Internet (for 38 months)
• Blablacar (for 37 months)
• Linode (for 27 months)
• Babiel GmbH (for 16 months)
• Plat Home (for 16 months)
• Silver sponsors:
• Domeneshop AS (for 37 months)
• Universit Lille 3 (for 37 months)
• Trollweb Solutions (for 35 months)
• Nantes M tropole (for 32 months)
• Dalenys (for 28 months)
• Univention GmbH (for 23 months)
• Universit Jean Monnet de St Etienne (for 23 months)
• Sonus Networks (for 17 months)
• UR Communications BV (for 12 months)
• maxcluster GmbH (for 11 months)
• Exonet B.V. (for 7 months)
• Leibniz Rechenzentrum
• Bronze sponsors:
• David Ayers IntarS Austria (for 38 months)
• Evolix (for 38 months)
• Offensive Security (for 38 months)
• Seznam.cz, a.s. (for 38 months)
• Freeside Internet Service (for 37 months)
• MyTux (for 37 months)
• Intevation GmbH (for 35 months)
• Linuxhotel GmbH (for 35 months)
• Daevel SARL (for 33 months)
• Bitfolk LTD (for 32 months)
• Megaspace Internet Services GmbH (for 32 months)
• NUMLOG (for 32 months)
• Greenbone Networks GmbH (for 31 months)
• WinGo AG (for 31 months)
• Ecole Centrale de Nantes LHEEA (for 27 months)
• Sig-I/O (for 24 months)
• Entr ouvert (for 22 months)
• Adfinis SyGroup AG (for 19 months)
• GNI MEDIA (for 14 months)
• Quarantainenet BV (for 14 months)
• RHX Srl (for 11 months)
• Bearstech (for 5 months)
• LiHAS (for 5 months)
• People Doc
• Catalyst IT Ltd

No comment Liked this article? Click here. My blog is Flattr-enabled.

• Upstream: https://github.com/mate-desktop
• Debian Packaging: https://qa.debian.org/developer.php?login=pkg-mate-team@lists.alioth.deb...
• Ubuntu MATE: http://ubuntu-mate.org/
• Git Packaging Repositories: https://anonscm.debian.org/cgit/pkg-mate/
• IRC (upstream): #mate-dev on Freenode (irc.freenode.net) # IRC (Debian + Ubuntu): #debian-mate on OFTC (irc.debian.org)

• Improve the MATE User Guide, I am quite optimistic that we get help from the person that asked for a better help tool on the MATE Desktop (like it was back in the times of old GNOMEv2)
• Provide several desktop layouts in Debian, like available in Ubuntu MATE, that can be chosen / configured by the MATE Tweak Tool
• Port the Ubuntu MATE Welcome application to Debian and autostart it on first login, like people know it from Ubuntu MATE

Changes in RcppArmadillo version 0.7.960.1.0 (2017-08-11)

• Upgraded to Armadillo release 7.960.1 (Northern Banana Republic Deluxe)
  • faster randn() when using OpenMP (NB: usually omitted when used fromR)
  • faster gmm_diag class, for Gaussian mixture models with diagonal covariance matrices
  • added .sum_log_p() to the gmm_diag class
  • added gmm_full class, for Gaussian mixture models with full covariance matrices
  • expanded .each_slice() to optionally use OpenMP for multi-threaded execution
• Upgraded to Armadillo release 7.950.0 (Northern Banana Republic)
  • expanded accu() and sum() to use OpenMP for processing expressions with computationally expensive element-wise functions
  • expanded trimatu() and trimatl() to allow specification of the diagonal which delineates the boundary of the triangular part
• Enhanced support for sparse matrices (Binxiang Ni as part of Google Summer of Code 2017)
  • Add support for dtCMatrix and dsCMatrix (#135)
  • Add conversion and unit tests for dgT, dtT and dsTMatrix (#136)
  • Add conversion and unit tests for dgR, dtR and dsRMatrix (#139)
  • Add conversion and unit tests for pMatrix and ddiMatrix (#140)
  • Rewrite conversion for dgT, dtT and dsTMatrix, and add file-based tests (#142)
  • Add conversion and unit tests for indMatrix (#144)
  • Rewrite conversion for ddiMatrix (#145)
  • Add a warning message for matrices that cannot be converted (#147)
  • Add new vignette for sparse matrix support (#152; Dirk in #153)
  • Add support for sparse matrix conversion from Python SciPy (#158 addressing #141)
• Optional return of row or column vectors in collapsed form if appropriate #define is set (Serguei Sokol in #151 and #154)
• Correct speye() for non-symmetric cases (Qiang Kou in #150 closing #149).
• Ensure tests using Scientific Python and reticulate are properly conditioned on the packages being present.
• Added .aspell/ directory with small local directory now supported by R-devel.

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