Search Results: "reg"

27 June 2025

Reproducible Builds (diffoscope): diffoscope 300 released

The diffoscope maintainers are pleased to announce the release of diffoscope version 300. This version includes the following changes:
[ "Alex" ]
* Fix a regression and add a test so that diffoscope picks up differences
  in metadata for identical files again. (Closes: reproducible-builds/diffoscope#411)
You find out more by visiting the project homepage.

23 June 2025

Gunnar Wolf: Private key management Oh, the humanity...

If we ever thought a couple of years or decades of constant use would get humankind to understand how an asymetric key pair is to be handled It s time we moved back to square one. I had to do an online tramit with the Mexican federal government to get a statement certifying I successfully finished my studies, and I found this jewel of user interface: E.firma So I have to:
  1. Submit the asymetric key I use for tax purposes, as that s the ID the government has registered for me. OK, I didn t expect it to be used for this purpose as well, but I ll accept it. Of course, in our tax system many people don t require having a public key generated ( easier regimes are authenticated by password only), but all professionals with a c dula profesional (everybody getting a unviersitary title) is now compelled to do this step.
  2. Not only I have to submit my certificate (public key) But also the private part (and, of course, the password that secures it). I understand I m interacting with a Javascript thingie that runs only client-side, and I trust it is not shipping my private key to their servers. But given it is an opaque script, I have no assurance about it. And, of course, this irks me because I am who I am and because I ve spent several years thinking about cryptography. But for regular people, it just looks as a stupid inconvenience: they have to upload two weird files with odd names and provide a password. What for?
This is beyond stupid. I m baffled. (of course, I did it, because I need the fsckin document. Oh, and of course, I paid my MX$1770, 80, for it which does not make me too happy for a tramit that s not even shuffling papers, only storing the right bits in the right corner of the right datacenter, but anyhow )

Russell Coker: PFAs

For some time I ve been noticing news reports about PFAs [1]. I hadn t thought much about that issue, I grew up when leaded petrol was standard, when almost all thermometers had mercury, when all small batteries had mercury, and I had generally considered that I had already had so many nasty chemicals in my body that as long as I don t eat bottom feeding seafood often I didn t have much to worry about. I already had a higher risk of a large number of medical issues than I d like due to decisions made before I was born and there s not much to do about it given that there are regulations restricting the emissions of lead, mercury etc. I just watched a Veritasium video about Teflon and the PFA poisoning related to it s production [2]. This made me realise that it s more of a problem than I realised and it s a problem that s getting worse. PFA levels in the parts-per-trillion range in the environment can cause parts-per-billion in the body which increases the risks of several cancers and causes other health problems. Fortunately there is some work being done on water filtering, you can get filters for a home level now and they are working on filters that can work at a sufficient scale for a city water plant. There is a map showing PFAs in the environment in Australia which shows some sites with concerning levels that are near residential areas [3]. One of the major causes for that in Australia is fire retardant foam Australia has never had much if any Teflon manufacturing AFAIK. Also they noted that donating blood regularly can decrease levels of PFAs in the bloodstream. So presumably people who have medical conditions that require receiving donated blood regularly will have really high levels.

22 June 2025

Sahil Dhiman: Case of (broken) maharashtra.gov.in Authoritative Name Servers

Maharashtra is a state here in India, which has Mumbai, the financial capital of India, as its capital. maharashtra.gov.in is the official website of the State Government of Maharashtra. We re going to talk about authoritative name servers serving it (and bunch of child zones under maharashtra.gov.in). Here s a simple trace for the main domain:
$ dig +trace maharashtra.gov.in
; <<>> DiG 9.18.33-1~deb12u2-Debian <<>> +trace maharashtra.gov.in
;; global options: +cmd
.            33128    IN    NS    j.root-servers.net.
.            33128    IN    NS    h.root-servers.net.
.            33128    IN    NS    l.root-servers.net.
.            33128    IN    NS    k.root-servers.net.
.            33128    IN    NS    i.root-servers.net.
.            33128    IN    NS    g.root-servers.net.
.            33128    IN    NS    f.root-servers.net.
.            33128    IN    NS    e.root-servers.net.
.            33128    IN    NS    b.root-servers.net.
.            33128    IN    NS    d.root-servers.net.
.            33128    IN    NS    c.root-servers.net.
.            33128    IN    NS    m.root-servers.net.
.            33128    IN    NS    a.root-servers.net.
.            33128    IN    RRSIG    NS 8 0 518400 20250704050000 20250621040000 53148 . pGxGZftwj+6VNTSQtstTKVN95Z7/b5Q8GSjRCXI68GoVYbVai9HNelxs OGIRKL4YmSrsiSsndXuEsBuvL9QvQ+qbybNLkekJUAiicKYNgr3KM3+X 69rsS9KxHgT2T8/oqG8KN8EJLJ8VkuM2PJ2HfSKijtF7ULtgBbERNQ4i u2I/wQ7elOyeF2M76iEOa7UGhgiBHSBqPulsbpnB//WbKL71yyFhWSk0 tiFEPuZM+iLrN2qBsElriF4kkw37uRHq8sSGcCjfBVdkpbb3/Sb3sIgN /zKU17f+hOvuBQTDr5qFIymqGAENA5UZ2RQjikk6+zK5EfBUXNpq1+oo 2y64DQ==
;; Received 525 bytes from 9.9.9.9#53(9.9.9.9) in 3 ms
in.            172800    IN    NS    ns01.trs-dns.com.
in.            172800    IN    NS    ns01.trs-dns.net.
in.            172800    IN    NS    ns10.trs-dns.org.
in.            172800    IN    NS    ns10.trs-dns.info.
in.            86400    IN    DS    48140 8 2 5EE4748C2069B99C98BC39A56881A64AF17CC78711E6297D43AC5A4F 4B5BB6E5
in.            86400    IN    RRSIG    DS 8 1 86400 20250704050000 20250621040000 53148 . jkCotYosapreoKKPvr9zPOEDECYVe9OtJLjkQbFfTin8uYbm/kdWzieW CkN5sabif5IHTFU4FEVOShfu4DFeUolhNav56TPKjGqEGjQ7qCghpqTj dNN4iY2s8BcJ2ujHwhm6HRfdbQRVoKYQ73UUZ+oWSute6lXWHE9+Snk2 1ZCAYPdZ2s1s7NZhrZW2YXVw/nHIcRl/rHqWIQ9sgUlsd6MwmahcAAG+ v15HG9Q48rCG1A2gJlJPbxWpVe0EUEu8LzDsp+ORqy1pHhzgJynrJHJz qMiYU0egv2j7xVPSoQHXjx3PG2rsOLNnqDBYCA+piEXOLsY3d+7c1SZl w9u66g==
;; Received 679 bytes from 199.7.83.42#53(l.root-servers.net) in 3 ms
maharashtra.gov.in.    900    IN    NS    ns8.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns9.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns10.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns18.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns20.maharashtra.gov.in.
npk19skvsdmju264d4ono0khqf7eafqv.gov.in. 300 IN    NSEC3 1 1 0 - P0KKR4BMBGLJDOKBGBI0KDM39DSM0EA4 NS SOA MX TXT RRSIG DNSKEY NSEC3PARAM
npk19skvsdmju264d4ono0khqf7eafqv.gov.in. 300 IN    RRSIG NSEC3 8 3 300 20250626140337 20250528184339 48544 gov.in. Khcq3n1Jn34HvuBEZExusVqoduEMH6DzqkWHk9dFkM+q0RVBYBHBbW+u LsSnc2/Rqc3HAYutk3EZeS+kXVF07GA/A486dr17Hqf3lHszvG/MNT/s CJfcdrqO0Q8NZ9NQxvAwWo44bCPaECQV+fhznmIaVSgbw7de9xC6RxWG ZFcsPYwYt07yB5neKa99RlVvJXk4GHX3ISxiSfusCNOuEKGy5cMxZg04 4PbYsP0AQNiJWALAduq2aNs80FQdWweLhd2swYuZyfsbk1nSXJQcYbTX aONc0VkYFeEJzTscX8/wNbkJeoLP0r/W2ebahvFExl3NYpb7b2rMwGBY omC/QA==
npk19skvsdmju264d4ono0khqf7eafqv.gov.in. 300 IN    RRSIG NSEC3 13 3 300 20250718144138 20250619135610 22437 gov.in. mbj7td3E6YE7kIhYoSlDTZR047TXY3Z60NY0aBwU7obyg5enBQU9j5nl GUxn9zUiwVUzei7v5GIPxXS7XDpk7g==
6bflkoouitlvj011i2mau7ql5pk61sks.gov.in. 300 IN    NSEC3 1 1 0 - 78S0UO5LI1KV1SVMH1889FHUCNC40U6T TXT RRSIG
6bflkoouitlvj011i2mau7ql5pk61sks.gov.in. 300 IN    RRSIG NSEC3 8 3 300 20250626133905 20250528184339 48544 gov.in. M2yPThQpX0sEf4klooQ06h+rLR3e3Q/BqDTSFogyTIuGwjgm6nwate19 jGmgCeWCYL3w/oxsg1z7SfCvDBCXOObH8ftEBOfLe8/AGHAEkWFSu3e0 s09Ccoz8FJiCfBJbbZK5Vf4HWXtBLfBq+ncGCEE24tCQLXaS5cT85BxZ Zne6Y6u8s/WPgo8jybsvlGnL4QhIPlW5UkHDs7cLLQSwlkZs3dwxyHTn EgjNWClhghGXP9nlvOlnDjUkmacEYeq5ItnCQjYPl4uwh9fBJ9CD/8LV K+Tn3+dgqDBek6+2HRzjGs59NzuHX8J9wVFxP7/nd+fUgaSgz+sST80O vrXlHA==
6bflkoouitlvj011i2mau7ql5pk61sks.gov.in. 300 IN    RRSIG NSEC3 13 3 300 20250718141148 20250619135610 22437 gov.in. raWzWsQnPkXYtr2v1SRH/fk2dEAv/K85NH+06pNUwkxPxQk01nS8eYlq BPQ41b26kikg8mNOgr2ULlBpJHb1OQ==
couldn't get address for 'ns18.maharashtra.gov.in': not found
couldn't get address for 'ns20.maharashtra.gov.in': not found
;; Received 1171 bytes from 2620:171:813:1534:8::1#53(ns10.trs-dns.org) in 0 ms
;; communications error to 10.187.202.24#53: timed out
;; communications error to 10.187.202.24#53: timed out
;; communications error to 10.187.202.24#53: timed out
;; communications error to 10.187.202.28#53: timed out
;; communications error to 10.187.203.201#53: timed out
;; no servers could be reached
Quick takeaways: It s a hit or miss for this DNS query resolution.

Looking at in zone data Let s look at NS added in zone itself (with 9.9.9.9):
$ dig ns maharashtra.gov.in
; <<>> DiG 9.18.33-1~deb12u2-Debian <<>> ns maharashtra.gov.in
;; global options: +cmd
;; Got answer:
;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 172
;; flags: qr rd ra; QUERY: 1, ANSWER: 2, AUTHORITY: 0, ADDITIONAL: 3
;; OPT PSEUDOSECTION:
; EDNS: version: 0, flags:; udp: 1232
;; QUESTION SECTION:
;maharashtra.gov.in.        IN    NS
;; ANSWER SECTION:
maharashtra.gov.in.    300    IN    NS    ns8.maharashtra.gov.in.
maharashtra.gov.in.    300    IN    NS    ns9.maharashtra.gov.in.
;; ADDITIONAL SECTION:
ns9.maharashtra.gov.in.    300    IN    A    10.187.202.24
ns8.maharashtra.gov.in.    300    IN    A    10.187.202.28
;; Query time: 180 msec
;; SERVER: 9.9.9.9#53(9.9.9.9) (UDP)
;; WHEN: Sat Jun 21 23:00:49 IST 2025
;; MSG SIZE  rcvd: 115
Pay special attention to ADDITIONAL SECTION . Running dig ns9.maharashtra.gov.in and dig ns8.maharashtra.gov.in, return RFC 1918 ie these private addresses. This is coming from zone itself, so in zone A records of NS8 and NS9 point to 10.187.202.28 and 10.187.202.24 respectively. Cloudflare s 1.1.1.1 has a slightly different version:
$ dig ns maharashtra.gov.in @1.1.1.1
; <<>> DiG 9.18.33-1~deb12u2-Debian <<>> ns maharashtra.gov.in @1.1.1.1
;; global options: +cmd
;; Got answer:
;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 36005
;; flags: qr rd ra; QUERY: 1, ANSWER: 3, AUTHORITY: 0, ADDITIONAL: 1
;; OPT PSEUDOSECTION:
; EDNS: version: 0, flags:; udp: 1232
;; QUESTION SECTION:
;maharashtra.gov.in.        IN    NS
;; ANSWER SECTION:
maharashtra.gov.in.    300    IN    NS    ns8.
maharashtra.gov.in.    300    IN    NS    ns10.maharashtra.gov.in.
maharashtra.gov.in.    300    IN    NS    ns9.
;; Query time: 7 msec
;; SERVER: 1.1.1.1#53(1.1.1.1) (UDP)
;; WHEN: Sun Jun 22 10:38:30 IST 2025
;; MSG SIZE  rcvd: 100
Interesting response here for sure :D. The reason for difference between response from 1.1.1.1 and 9.9.9.9 is in the next section.

Looking at parent zone gov.in is the parent zone here. Tucows is operator for gov.in as well as .in ccTLD zone:
$ dig ns gov.in +short
ns01.trs-dns.net.
ns01.trs-dns.com.
ns10.trs-dns.org.
ns10.trs-dns.info.
Let s take a look at what parent zone (NS) hold:
$ dig ns maharashtra.gov.in @ns01.trs-dns.net.
; <<>> DiG 9.18.36 <<>> ns maharashtra.gov.in @ns01.trs-dns.net.
;; global options: +cmd
;; Got answer:
;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 56535
;; flags: qr rd; QUERY: 1, ANSWER: 0, AUTHORITY: 5, ADDITIONAL: 6
;; WARNING: recursion requested but not available
;; OPT PSEUDOSECTION:
; EDNS: version: 0, flags:; udp: 1232
; COOKIE: f13027aa39632404010000006856fa2a9c97d6bbc973ba4f (good)
;; QUESTION SECTION:
;maharashtra.gov.in.        IN    NS
;; AUTHORITY SECTION:
maharashtra.gov.in.    900    IN    NS    ns8.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns18.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns10.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns9.maharashtra.gov.in.
maharashtra.gov.in.    900    IN    NS    ns20.maharashtra.gov.in.
;; ADDITIONAL SECTION:
ns20.maharashtra.gov.in. 900    IN    A    52.183.143.210
ns18.maharashtra.gov.in. 900    IN    A    35.154.30.166
ns10.maharashtra.gov.in. 900    IN    A    164.100.128.234
ns9.maharashtra.gov.in.    900    IN    A    103.23.150.89
ns8.maharashtra.gov.in.    900    IN    A    103.23.150.88
;; Query time: 28 msec
;; SERVER: 64.96.2.1#53(ns01.trs-dns.net.) (UDP)
;; WHEN: Sun Jun 22 00:00:02 IST 2025
;; MSG SIZE  rcvd: 248
The ADDITIONAL SECTION gives a completely different picture (different from in zone NSes). Maybe this was how it was supposed to be, but none of the IPs listed for NS10, NS18 and NS20 are responding to any DNS query. Assuming NS8 as 103.23.150.88 and NS9 as 103.23.150.89, checking SOA on each gives following:
$ dig soa maharashtra.gov.in @103.23.150.88 +short
ns8.maharashtra.gov.in. postmaster.maharashtra.gov.in. 2013116777 1200 600 1296000 300
$ dig soa maharashtra.gov.in @103.23.150.89 +short
ns8.maharashtra.gov.in. postmaster.maharashtra.gov.in. 2013116757 1200 600 1296000 300
NS8 (which is marked as primary in SOA) has serial 2013116777 and NS9 is on serial 2013116757, so looks like the sync (IXFR/AXFR) between primary and secondary is broken. That s why NS8 and NS9 are serving different responses, evident from the following:
$ dig ns8.maharashtra.gov.in @103.23.150.88 +short
103.23.150.88
$ dig ns8.maharashtra.gov.in @103.23.150.89 +short
10.187.202.28
$ dig ns9.maharashtra.gov.in @103.23.150.88 +short
103.23.150.89
$ dig ns9.maharashtra.gov.in @103.23.150.89 +short
10.187.202.24
$ dig ns maharashtra.gov.in @103.23.150.88 +short
ns9.
ns8.
ns10.maharashtra.gov.in.
$ dig ns maharashtra.gov.in @103.23.150.89 +short
ns9.maharashtra.gov.in.
ns8.maharashtra.gov.in.
$ dig ns10.maharashtra.gov.in @103.23.150.88 +short
10.187.203.201
$ dig ns10.maharashtra.gov.in @103.23.150.89 +short
# No/empty response ^
This is the reason for difference in 1.1.1.1 and 9.9.9.9 responses in previous section.

To summarize:
  • Primary and secondary NS aren t in sync. Serials aren t matching, while NS8 and NS9 are responding differently for same queries.
  • NSes have A records with private address, not reachable on the internet, so lame servers.
  • Incomplete NS address, not even FQDN in some cases.
  • Difference between NS delegated in parent zone and NS added in actual zone.
  • Name resolution works in very particular order (in my initial trace it failed).
Initially, I thought of citing RFCs, but I don t really think it s even required. 1.1.1.1, 8.8.8.8 and 9.9.9.9 are handling (lame servers, this probelm) well, handing out the A record for the main website, so dig maharashtra.gov.in would mostly pass and that was the reason I started this post with +trace to recurse the complete zone to show the problem. For later reference:
$ dig maharashtra.gov.in @8.8.8.8 +short
103.8.188.109

Email to SOA address I have sent the following email to address listed in SOA:
Subject - maharashtra.gov.in authoritative DNS servers not reachable Hello, I wanted to highlight the confusing state of maharashtra.gov.in authoritative DNS servers. Parent zone list following as name servers for your DNS zone:
  • ns8.maharashtra.gov.in.
  • ns18.maharashtra.gov.in.
  • ns10.maharashtra.gov.in.
  • ns9.maharashtra.gov.in.
  • ns20.maharashtra.gov.in.
Out of these, ns18 and ns20 don t have public A/AAAA records and are thus not reachable. ns10 keeps on shuffling between NO A record and 10.187.203.201 (private, not reachable address). ns8 keeps on shuffling between 103.23.150.88 and 10.187.202.28 (private, not reachable address). ns9 keeps on shuffling between 103.23.150.89 and 10.187.202.24 (private, not reachable address). These are leading to long, broken, or no DNS resolution for the website(s). Can you take a look at the problem? Regards, Sahil
I ll update here if I get a response. Hopefully, they ll listen and fix their problem.

20 June 2025

Matthew Garrett: My a11y journey

23 years ago I was in a bad place. I'd quit my first attempt at a PhD for various reasons that were, with hindsight, bad, and I was suddenly entirely aimless. I lucked into picking up a sysadmin role back at TCM where I'd spent a summer a year before, but that's not really what I wanted in my life. And then Hanna mentioned that her PhD supervisor was looking for someone familiar with Linux to work on making Dasher, one of the group's research projects, more usable on Linux. I jumped.

The timing was fortuitous. Sun were pumping money and developer effort into accessibility support, and the Inference Group had just received a grant from the Gatsy Foundation that involved working with the ACE Centre to provide additional accessibility support. And I was suddenly hacking on code that was largely ignored by most developers, supporting use cases that were irrelevant to most developers. Being in a relatively green field space sounds refreshing, until you realise that you're catering to actual humans who are potentially going to rely on your software to be able to communicate. That's somewhat focusing.

This was, uh, something of an on the job learning experience. I had to catch up with a lot of new technologies very quickly, but that wasn't the hard bit - what was difficult was realising I had to cater to people who were dealing with use cases that I had no experience of whatsoever. Dasher was extended to allow text entry into applications without needing to cut and paste. We added support for introspection of the current applications UI so menus could be exposed via the Dasher interface, allowing people to fly through menu hierarchies and pop open file dialogs. Text-to-speech was incorporated so people could rapidly enter sentences and have them spoke out loud.

But what sticks with me isn't the tech, or even the opportunities it gave me to meet other people working on the Linux desktop and forge friendships that still exist. It was the cases where I had the opportunity to work with people who could use Dasher as a tool to increase their ability to communicate with the outside world, whose lives were transformed for the better because of what we'd produced. Watching someone use your code and realising that you could write a three line patch that had a significant impact on the speed they could talk to other people is an incomparable experience. It's been decades and in many ways that was the most impact I've ever had as a developer.

I left after a year to work on fruitflies and get my PhD, and my career since then hasn't involved a lot of accessibility work. But it's stuck with me - every improvement in that space is something that has a direct impact on the quality of life of more people than you expect, but is also something that goes almost unrecognised. The people working on accessibility are heroes. They're making all the technology everyone else produces available to people who would otherwise be blocked from it. They deserve recognition, and they deserve a lot more support than they have.

But when we deal with technology, we deal with transitions. A lot of the Linux accessibility support depended on X11 behaviour that is now widely regarded as a set of misfeatures. It's not actually good to be able to inject arbitrary input into an arbitrary window, and it's not good to be able to arbitrarily scrape out its contents. X11 never had a model to permit this for accessibility tooling while blocking it for other code. Wayland does, but suffers from the surrounding infrastructure not being well developed yet. We're seeing that happen now, though - Gnome has been performing a great deal of work in this respect, and KDE is picking that up as well. There isn't a full correspondence between X11-based Linux accessibility support and Wayland, but for many users the Wayland accessibility infrastructure is already better than with X11.

That's going to continue improving, and it'll improve faster with broader support. We've somehow ended up with the bizarre politicisation of Wayland as being some sort of woke thing while X11 represents the Roman Empire or some such bullshit, but the reality is that there is no story for improving accessibility support under X11 and sticking to X11 is going to end up reducing the accessibility of a platform.

When you read anything about Linux accessibility, ask yourself whether you're reading something written by either a user of the accessibility features, or a developer of them. If they're neither, ask yourself why they actually care and what they're doing to make the future better.

comment count unavailable comments

19 June 2025

Russell Coker: Matching Intel CPUs

To run a SMP system with multiple CPUs you need to have CPUs that are identical , the question is what does identical mean. In this case I m interested in Intel CPUs because SMP motherboards and server systems for Intel CPUs are readily available and affordable. There are people selling matched pairs of CPUs on ebay which tend to be more expensive than randomly buying 2 of the same CPU model, so if you can identify 2 CPUs that are identical which are sold separately then you can save some money. Also if you own a two CPU system with only one CPU installed then buying a second CPU to match the first is cheaper and easier than buying two more CPUs and removing a perfectly working CPU. e5-2640 v4 cpus
Intel (R) Xeon (R)
E5-2640V4
SR2NZ 2.40GHZ
J717B324 (e4)
7758S4100843
Above is a pic of 2 E5-2640v4 CPUs that were in a SMP system I purchased along with a plain ASCII representation of the text on one of them. The bottom code (starting with 77 ) is apparently the serial number, one of the two codes above it is what determines how identical those CPUs are. The code on the same line as the nominal clock speed (in this case SR2NZ) is the spec number which is sometimes referred to as sspec [1]. The line below the sspec and above the serial number has J717B324 which doesn t have a google hit. I looked at more than 20 pics of E5-2640v4 CPUs on ebay, they all had the code SR2NZ but had different numbers on the line below. I conclude that the number on the line below probably indicates the model AND stepping while SR2NZ just means E5-2640v4 regardless of stepping. As I wasn t able to find another CPU on ebay with the same number on the line below the sspec I believe that it will be unreasonably difficult to get a match for an existing CPU. For the purpose of matching CPUs I believe that if the line above the serial number matches then the CPUs can be used together. I am not certain that CPUs with this number slightly mismatching won t work but I definitely wouldn t want to spend money on CPUs with this number being different.
smpboot: CPU0: Intel(R) Xeon(R) CPU E5-2699A v4 @ 2.40GHz (family: 0x6, model: 0x4f, stepping: 0x1)
When you boot Linux the kernel identifies the CPU in a manner like the above, the combination of family and model seem to map to one spec number. The combination of family, model, and stepping should be all that s required to have them work together. I think that Intel did the wrong thing in not making this clearer. It would have been very easy to print the stepping on the CPU case next to the sspec or the CPU model name. It also wouldn t have been too hard to make the CPU provide the magic number that is apparently the required match for SMP to the OS. Having the Intel web site provide a mapping of those numbers to steppings of CPUs also shouldn t be difficult for them. If anyone knows more about these issues please let me know.

Debian Outreach Team: GSoC 2025 Introduction: Make Debian for Raspberry Pi Build Again

Hello everyone! I am Kurva Prashanth, Interested in the lower level working of system software, CPUs/SoCs and Hardware design. I was introduced to Open Hardware and Embedded Linux while studying electronics and embedded systems as part of robotics coursework. Initially, I did not pay much attention to it and quickly moved on. However, a short talk on Liberating SBCs using Debian by Yuvraj at MiniDebConf India, 2021 caught my interest. The talk focused on Open Hardware platforms such as Olimex and BeagleBone Black, as well as the Debian distributions tailored for these ARM-based single-board computers has intrigued me to delve deeper into the realm of Open Hardware and Embedded Linux. These days I m trying to improve my abilities to contribute to Debian and Linux Kernel development. Before finding out about the Google Summer of Code project, I had already started my journey with Debian. I extensively used Debian system build tools(debootstrap, sbuild, deb-build-pkg, qemu-debootstrap) for Building Debian Image for Bela Cape a real-time OS for music making to achieve extremely fast audio and sensor processing times. In 2023, I had the opportunity to attend DebConf23 in Kochi, India - thanks to Nilesh Patra (@nilesh) and I met Hector Oron (@zumbi) over dinner at DebConf23 and It was nice talking about his contributions/work at Debian on armhf port and Debian System Administration that conversation got me interested in knowing more about Debian ARM, Installer and I found it fascinating that EmDebian was once a external project bringing Debian to embedded systems and now, Debian itself can be run on many embedded systems. And, also during DebCamp I got Introduced to PGP/GPG keys and the web of trust by Carlos Henrique Lima Melara (@charles) I learned how to use and generate GPG keys. After DebConf23 I tried debian packaging and I miserably failed to get sponsorship for a python library I packaged. I came across the Debian project for this year s Google Summer of Code and found the project titled Make Debian for Raspberry Pi Build Again quite interesting to me and applied. Gladly, on May 8th, I received an acceptance e-mail from GSoC. I got excited that I ll spend the summer working on something that I like doing. I am thrilled to be part of this project and I am super excited for the summer of 25. I m looking forward to work on what I most like, new connections and learning opportunities. So, let me talk a bit more about my project. I will be working on to Make Debian for Raspberry Pi SBC s under the guidance of Gunnar Wolf (@gwolf). In this post, I will describe the project I will be working on.

Why make Debian for Raspberry Pi build again? There is an available set of images for running Debian in Raspberry Pi computers (all models below the 5 series)! However, the maintainer severely lacking time to take care for them; called for help for somebody to adopt them, but have not been successful. The image generation scripts might have bitrotted a bit, but it is mostly all done. And there is a lot of interest and use still in having the images freshly generated and decently tested! This GSoC project is about getting the [https://raspi.debian.net/ Raspberry Pi Debian images] site working reliably, daily-built images become automatic again and ideally making it easily deployable to be run in project machines and migrating exsisting hosting infrastructure to Debian.

How much it differ from Debian build process? While the goal is to stay as close as possible to the Debian build process, Raspberry Pi boards require some necessary platform-specific changes primarily in the early boot sequence and firmware handling. Unlike typical Debian systems, Raspberry Pi boards depend on a non-standard bootloader and use non-free firmware (raspi-firmware), Introducing some hardware-specific differences in the initialization process. These differences are largely confined to the early boot and hardware initialization stages. Once the system boots, the userspace remains closely aligned with a typical Debian install, using Debian packages. The current modifications are required due to non-free firmware. However, several areas merit review: but there are a few parts that might be worth changing.
  1. Boot flow: Transitioning to a U-Boot based boot process (as used in Debian installer images for many other SBCs) would reduce divergence and better align with Debian Installer.
  2. Current scripts/workarounds: Some existing hacks may now be redundant with recent upstream support and could be removed.
  3. Board-specific images: Shift to architecture-specific base images with runtime detection could simplify builds and reduce duplication.
Debian already already building SD card images for a wide range of SBCs (e.g., BeagleBone, BananaPi, OLinuXino, Cubieboard, etc.) installer-arm64/images/u-boot and installer-armhf/images/u-boot, a similar approach for Raspberry Pi could improve maintainability and consistency with Debian s broader SBC support.

Quoted from Mail Discussion Thread with Mentor (Gunnar Wolf)
"One direction we wanted to explore was whether we should still be building one image per family, or whether we could instead switch to one image per architecture (armel, armhf, arm64). There were some details to iron out as RPi3 and RPi4 were quite different, but I think it will be similar to the differences between the RPi 0 and 1, which are handled at first-boot time. To understand what differs between families, take a look at Cyril Brulebois generate-recipe (in the repo), which is a great improvement over the ugly mess I had before he contributed it"
In this project, I intend to to build one image per architecture (armel, armhf, arm64) rather than continuing with the current model of building one image per board. This change simplifies image management, reduces redundancy, and leverages dynamic configuration at boot time to support all supported boards within each architecture. By using U-Boot and flash-kernel, we can detect the board type and configure kernel parameters, DTBs, and firmware during the first boot, reducing duplication across images and simplifying the maintenance burden and we can also generalize image creation while still supporting board-specific behavior at runtime. This method aligns with existing practices in the DebianInstaller team and aligns with Debian s long-term maintainability goals and better leverages upstream capabilities, ensuring a consistent and scalable boot experience. To streamline and standardize the process of building bootable Debian images for Raspberry Pi devices, I proposed a new workflow that leverages U-Boot and flash-kernel Debian packages. This provides a clean, maintainable, and reproducible way to generate images for armel, armhf and arm64 boards. The workflow is vmdb2, a lightweight, declarative tool designed to automate the creation of disk images. A typical vmdb2 recipe defines the disk layout, base system installation (via debootstrap), architecture-specific packages, and any custom post-install hooks and the image should includes U-Boot (the u-boot-rpi package), flash-kernel, and a suitable Debian kernel package like linux-image-arm64 or linux-image-armmp. U-Boot serves as the platform s bootloader and is responsible for loading the kernel and initramfs. Unlike Raspberry Pi s non-free firmware/proprietary bootloader, U-Boot provides an open and scriptable interface, allowing us to follow a more standard Debian boot process. It can be configured to boot using either an extlinux.conf or a boot.scr script generated automatically by flash-kernel. The role of flash-kernel is to bridge Debian s kernel installation system with the specifics of embedded bootloaders like U-Boot. When installed, it automatically copies the kernel image, initrd, and device tree blobs (DTBs) to the /boot partition. It also generates the necessary boot.scr script if the board configuration demands it. To work correctly, flash-kernel requires that the target machine be identified via /etc/flash-kernel/machine, which must correspond to an entry in its internal machine database.\ Once the vmdb2 build is complete, the resulting image will contain a fully configured bootable system with all necessary boot components correctly installed. The image can be flashed to an SD card and used to boot on the intended device without additional manual configuration. Because all key packages (U-Boot, kernel, flash-kernel) are managed through Debian s package system, kernel updates and boot script regeneration are handled automatically during system upgrades.

Current Workflow: Builds one Image per family The current vmdb2 recipe uses the Raspberry Pi GPU bootloader provided via the raspi-firmware package. This is the traditional boot process followed by Raspberry Pi OS, and it s tightly coupled with firmware files like bootcode.bin, start.elf, and fixup.dat. These files are installed to /boot/firmware, which is mounted from a FAT32 partition labeled RASPIFIRM. The device tree files (*.dtb) are manually copied from /usr/lib/linux-image-*-arm64/broadcom/ into this partition. The kernel is installed via the linux-image-arm64 package, and the boot arguments are injected by modifying /boot/firmware/cmdline.txt using sed commands. Booting depends on the root partition being labeled RASPIROOT, referenced through that file. There is no bootloader like UEFI-based or U-Boot involved the Raspberry Pi firmware directly loads the kernel, which is standard for Raspberry Pi boards.
- apt: install
  packages:
    ...
    - raspi-firmware  
The boot partition contents and kernel boot setup are tightly controlled via scripting in the recipe. Limitations of Current Workflow: While this setup works, it is
  1. Proprietary and Raspberry Pi specific It relies on the closed-source GPU bootloader the raspi-firmware package, which is tightly coupled to specific Raspberry Pi models.
  2. Manual DTB handling Device tree files are manually copied and hardcoded, making upgrades or board-specific changes error-prone.
  3. Not easily extendable to future Raspberry Pi boards Any change in bootloader behavior (as seen in the Raspberry Pi 5, which introduces a more flexible firmware boot process) would require significant rework.
  4. No UEFI-based/U-Boot The current method bypasses the standard bootloader layers, making it inconsistent with other Debian ARM platforms and harder to maintain long-term.
As Raspberry Pi firmware and boot processes evolve, especially with the introduction of Pi 5 and potentially Pi 6, maintaining compatibility will require more flexibility - something best delivered by adopting U-Boot and flash-kernel.

New Workflow: Building Architecture-Specific Images with vmdb2, U-Boot, flash-kernel, and Debian Kernel This workflow outlines an improved approach to generating bootable Debian images architecture specific, using vmdb2, U-Boot, flash-kernel, and Debian kernels and also to move away from Raspberry Pi s proprietary bootloader to a fully open-source boot process which improves maintainability, consistency, and cross-board support.

New Method: Shift to U-Boot + flash-kernel U-Boot (via Debian su-boot-rpi package) and flash-kernel bring the image building process closer to how Debian officially boots ARM devices. flash-kernel integrates with the system s initramfs and kernel packages to install bootloaders, prepare boot.scr or extlinux.conf, and copy kernel/initrd/DTBs to /boot in a format that U-Boot expects. U-Boot will be used as a second-stage bootloader, loaded by the Raspberry Pi s built-in firmware. Once U-Boot is in place, it will read standard boot scripts ( boot.scr) generated by flash-kernel, providing a Debian-compatible and board-flexible solution. Extending YAML spec for vmdb2 build with U-Boot and flash-kernel To improve an existing vmdb2 YAML spec(https://salsa.debian.org/raspi-team/image-specs/raspi_master.yaml), to integrate U-Boot, flash-kernel, and the architecture-specific Debian kernel into the image build process. By incorporating u-boot-rpi and flash-kernel from Debian packages, alongside the standard initramfs-tools, we align the image closer to Debian best practices while supporting both armhf and arm64 architectures. Below are key additions and adjustments needed in a vmdb2 YAML spec to support the workflow: Install U-Boot, flash-kernel, initramfs-tools and the architecture-specific Debian kernel.
- apt: install
  packages:
    - u-boot-rpi
    - flash-kernel
    - initramfs-tools
    - linux-image-arm64 # or linux-image-armmp for armhf 
  tag: tag-root
Replace linux-image-arm64 with the correct kernel package for specific target architecture. These packages should be added under the tag-root section in YAML spec for vmdb2 build recipe. This ensures that the necessary bootloader, kernel, and initramfs tools are included and properly configured in the image. Configure Raspberry Pi firmware to Load U-Boot Install the U-Boot binary as kernel.img in /boot/firmware we can also download and build U-Boot from source, but Debian provides tested binaries.
- shell:  
    cp /usr/lib/u-boot/rpi_4/u-boot.bin $ ROOT? /boot/firmware/kernel.img
    echo "enable_uart=1" >> $ ROOT? /boot/firmware/config.txt
  root-fs: tag-root
This makes the RPi firmware load u-boot.bin instead of the Linux kernel directly. Set Up flash-kernel for Debian-style Boot flash-kernel integrates with initramfs-tools and writes boot config suitable for U-Boot. We need to make sure /etc/flash-kernel/db contains an entry for board (most Raspberry Pi boards already supported in Bookworm). Set up /etc/flash-kernel.conf with:
- create-file: /etc/flash-kernel.conf
  contents:  
    MACHINE="Raspberry Pi 4"
    BOOTPART="/dev/disk/by-label/RASPIFIRM"
    ROOTPART="/dev/disk/by-label/RASPIROOT"
  unless: rootfs_unpacked
This allows flash-kernel to write an extlinux.conf or boot.scr into /boot/firmware. Clean up Proprietary/Non-Free Firmware Bootflow Remove the direct kernel loading flow:
- shell:  
    rm -f $ ROOT? /boot/firmware/vmlinuz*
    rm -f $ ROOT? /boot/firmware/initrd.img*
    rm -f $ ROOT? /boot/firmware/cmdline.txt
  root-fs: tag-root
Let U-Boot and flash-kernel manage kernel/initrd and boot parameters instead. Boot Flow After This Change
[SoC ROM] -> [start.elf] -> [U-Boot] -> [boot.scr] -> [Linux Kernel]
  1. This still depends on the Raspberry Pi firmware to start, but it only loads U-Boot, not Linux kernel.
  2. U-Boot gives you more flexibility (e.g., networking, boot menus, signed boot).
  3. Using flash-kernel ensures kernel updates are handled the Debian Installer way.
  4. Test with a serial console (enable_uart=1) in case HDMI doesn t show early boot logs.
Advantage of New Workflow
  1. Replaces the proprietary Raspberry Pi bootloader with upstream U-Boot.
  2. Debian-native tooling Uses flash-kernel and initramfs-tools to manage boot configuration.
  3. Consistent across boards Works for both armhf and arm64, unifying the image build process.
  4. Easier to support new boards Like the Raspberry Pi 5 and future models.
This transition will standardize a bit image-building process, making it aligned with upstream Debian Installer workflows.

vmdb2 configuration for arm64 using u-boot and flash-kernel NOTE: This is a baseline example and may require tuning.
# Raspberry Pi arm64 image using U-Boot and flash-kernel
steps:
  # ... (existing mkimg, partitions, mount, debootstrap, etc.) ...
  # Install U-Boot, flash-kernel, initramfs-tools and architecture specific kernel
  - apt: install
    packages:
      - u-boot-rpi
      - flash-kernel
      - initramfs-tools
      - linux - image - arm64 # or linux - image - armmp for armhf
    tag: tag-root
  # Install U-Boot binary as kernel.img in firmware partition
  - shell:  
      cp /usr/lib/u-boot/rpi_arm64 /u-boot.bin $ ROOT? /boot/firmware/kernel.img
      echo "enable_uart=1" >> $ ROOT? /boot/firmware/config.txt
    root-fs: tag-root
  # Configure flash-kernel for Raspberry Pi
  - create-file: /etc/flash-kernel.conf
    contents:  
      MACHINE="Generic Raspberry Pi ARM64"
      BOOTPART="/dev/disk/by-label/RASPIFIRM"
      ROOTPART="/dev/disk/by-label/RASPIROOT"
    unless: rootfs_unpacked
  # Remove direct kernel boot files from Raspberry Pi firmware
  - shell:  
      rm -f $ ROOT? /boot/firmware/vmlinuz*
      rm -f $ ROOT? /boot/firmware/initrd.img*
      rm -f $ ROOT? /boot/firmware/cmdline.txt
    root-fs: tag-root
  # flash-kernel will manage boot scripts and extlinux.conf
  # Rest of image build continues...

Required Changes to Support Raspberry Pi Boards in Debian (flash-kernel + U-Boot)

Overview of Required Changes
Component Required Task
Debian U-Boot Package Add build target for rpi_arm64 in u-boot-rpi. Optionally deprecate legacy 32-bit targets.
Debian flash-kernel Package Add or verify entries in db/all.db for Pi 4, Pi 5, Zero 2W, CM4. Ensure boot script generation works via bootscr.uboot-generic.
Debian Kernel Ensure DTBs are installed at /usr/lib/linux-image-<version>/ and available for flash-kernel to reference.

flash-kernel

Already Supported Boards in flash-kernel Debian Package https://sources.debian.org/src/flash-kernel/3.109/db/all.db/#L1700
Model Arch DTB-Id
Raspberry Pi 1 A/B/B+, Rev2 armel bcm2835-*
Raspberry Pi CM1 armel bcm2835-rpi-cm1-io1.dtb
Raspberry Pi Zero/Zero W armel bcm2835-rpi-zero*.dtb
Raspberry Pi 2B armhf bcm2836-rpi-2-b.dtb
Raspberry Pi 3B/3B+ arm64 bcm2837-*
Raspberry Pi CM3 arm64 bcm2837-rpi-cm3-io3.dtb
Raspberry Pi 400 arm64 bcm2711-rpi-400.dtb

uboot

Already Supported Boards in Debian U-Boot Package https://salsa.debian.org/installer-team/flash-kernel/-/blob/master/db/all.db

arm64 Model Arch Upstream Defconfig Debian Target - - - Raspberry Pi 3B arm64 rpi_3_defconfig rpi_3 Raspberry Pi 4B arm64 rpi_4_defconfig rpi_4 Raspberry Pi 3B/3B+/CM3/CM3+/4B/CM4/400/5B/Zero 2W arm64 rpi_arm64_defconfig rpi_arm64
armhf Model Arch Upstream Defconfig Debian Target - - - Raspberry Pi 2 armhf rpi_2_defconfig rpi_2 Raspberry Pi 3B (32-bit) armhf rpi_3_32b_defconfig rpi_3_32b Raspberry Pi 4B (32-bit) armhf rpi_4_32b_defconfig rpi_4_32b
armel Model Arch Upstream Defconfig Debian Target - - - Raspberry Pi armel rpi_defconfig rpi Raspberry Pi 1/Zero armel rpi_0_w rpi_0_w These boards are already defined in debian/rules under the u-boot-rpi source package and generates usable U-Boot binaries for corresponding Raspberry Pi models.

To-Do: Add Missing Board Support to U-Boot and flash-kernel in Debian Several Raspberry Pi models are missing from the Debian U-Boot and flash-kernel packages, even though upstream support and DTBs exist in the Debian kernel but are missing entries in the flash-kernel database to enable support for bootloader installation and initrd handling.

Boards Not Yet Supported in flash-kernel Debian Package
Model Arch DTB-Id
Raspberry Pi 3A+ (32 & 64 bit) armhf, arm64 bcm2837-rpi-3-a-plus.dtb
Raspberry Pi 4B (32 & 64 bit) armhf, arm64 bcm2711-rpi-4-b.dtb
Raspberry Pi CM4 arm64 bcm2711-rpi-cm4-io.dtb
Raspberry Pi CM 4S arm64 -
Raspberry Zero 2 W arm64 bcm2710-rpi-zero-2-w.dtb
Raspberry Pi 5 arm64 bcm2712-rpi-5-b.dtb
Raspberry Pi CM5 arm64 -
Raspberry Pi 500 arm64 -

Boards Not Yet Supported in Debian U-Boot Package
Model Arch Upstream defconfig(s)
Raspberry Pi 3A+/3B+ arm64 -, rpi_3_b_plus_defconfig
Raspberry Pi CM 4S arm64 -
Raspberry Pi 5 arm64 -
Raspberry Pi CM5 arm64 -
Raspberry Pi 500 arm64 -

So, what next? During the Community Bonding Period, I got hands-on with workflow improvements, set up test environments, and began reviewing Raspberry Pi support in Debian s U-Boot and flash-kernel and these are the logs of the project, where I provide weekly reports on the work done. You can check here: Community Bonding Period logs. My next steps include submitting patches to the u-boot and flash-kernel packages to ensure all missing Raspberry Pi entries are built and shipped. And, also to confirm the kernel DTB installation paths and make sure the necessary files are included for all Raspberry Pi variants. Finally, plan to validate changes with test builds on Raspberry Pi hardware. In parallel, I m organizing my tasks and setting up my environment to contribute more effectively. It s been exciting to explore how things work under the hood and to prepare for a summer of learning and contributing to this great community.

17 June 2025

Evgeni Golov: Arguing with an AI or how Evgeni tried to use CodeRabbit

Everybody is trying out AI assistants these days, so I figured I'd jump on that train and see how fast it derails. I went with CodeRabbit because I've seen it on YouTube ads work, I guess. I am trying to answer the following questions: To reduce the amount of output and not to confuse contributors, CodeRabbit was configured to only do reviews on demand. What follows is a rather unscientific evaluation of CodeRabbit based on PRs in two Foreman-related repositories, looking at the summaries CodeRabbit posted as well as the comments/suggestions it had about the code. Ansible 2.19 support PR: theforeman/foreman-ansible-modules#1848 summary posted The summary CodeRabbit posted is technically correct.
This update introduces several changes across CI configuration, Ansible roles, plugins, and test playbooks. It expands CI test coverage to a new Ansible version, adjusts YAML key types in test variables, refines conditional logic in Ansible tasks, adds new default variables, and improves clarity and consistency in playbook task definitions and debug output.
Yeah, it does all of that, all right. But it kinda misses the point that the addition here is "Ansible 2.19 support", which starts with adding it to the CI matrix and then adjusting the code to actually work with that version. Also, the changes are not for "clarity" or "consistency", they are fixing bugs in the code that the older Ansible versions accepted, but the new one is more strict about. Then it adds a table with the changed files and what changed in there. To me, as the author, it felt redundant, and IMHO doesn't add any clarity to understand the changes. (And yes, same "clarity" vs bugfix mistake here, but that makes sense as it apparently miss-identified the change reason) And then the sequence diagrams They probably help if you have a dedicated change to a library or a library consumer, but for this PR it's just noise, especially as it only covers two of the changes (addition of 2.19 to the test matrix and a change to the inventory plugin), completely ignoring other important parts. Overall verdict: noise, don't need this. comments posted CodeRabbit also posted 4 comments/suggestions to the changes. Guard against undefined result.task IMHO a valid suggestion, even if on the picky side as I am not sure how to make it undefined here. I ended up implementing it, even if with slightly different (and IMHO better readable) syntax. Inconsistent pipeline in when for composite CV versions That one was funny! The original complaint was that the when condition used slightly different data manipulation than the data that was passed when the condition was true. The code was supposed to do "clean up the data, but only if there are any items left after removing the first 5, as we always want to keep 5 items". And I do agree with the analysis that it's badly maintainable code. But the suggested fix was to re-use the data in the variable we later use for performing the cleanup. While this is (to my surprise!) valid Ansible syntax, it didn't make the code much more readable as you need to go and look at the variable definition. The better suggestion then came from Ewoud: to compare the length of the data with the number we want to keep. Humans, so smart! But Ansible is not Ewoud's native turf, so he asked whether there is a more elegant way to count how much data we have than to use list count in Jinja (the data comes from a Python generator, so needs to be converted to a list first). And the AI helpfully suggested to use count instead! However, count is just an alias for length in Jinja, so it behaves identically and needs a list. Luckily the AI quickly apologized for being wrong after being pointed at the Jinja source and didn't try to waste my time any further. Wouldn't I have known about the count alias, we'd have committed that suggestion and let CI fail before reverting again. Apply the same fix for non-composite CV versions The very same complaint was posted a few lines later, as the logic there is very similar just slightly different data to be filtered and cleaned up. Interestingly, here the suggestion also was to use the variable. But there is no variable with the data! The text actually says one need to "define" it, yet the "committable suggestion" doesn't contain that part. Interestingly, when asked where it sees the "inconsistency" in that hunk, it said the inconsistency is with the composite case above. That however is nonsense, as while we want to keep the same number of composite and non-composite CV versions, the data used in the task is different it even gets consumed by a totally different playbook so there can't be any real consistency between the branches. I ended up applying the same logic as suggested by Ewoud above. As that refactoring was possible in a consistent way. Ensure consistent naming for Oracle Linux subscription defaults One of the changes in Ansible 2.19 is that Ansible fails when there are undefined variables, even if they are only undefined for cases where they are unused. CodeRabbit complains that the names of the defaults I added are inconsistent. And that is technically correct. But those names are already used in other places in the code, so I'd have to refactor more to make it work properly. Once being pointed at the fact that the variables already exist, the AI is as usual quick to apologize, yay. add new parameters to the repository module PR: theforeman/foreman-ansible-modules#1860 summary posted Again, the summary is technically correct
The repository module was updated to support additional parameters for repository synchronization and authentication. New options were added for ansible collections, ostree, Python packages, and yum repositories, including authentication tokens, filtering controls, and version retention settings. All changes were limited to module documentation and argument specification.
But it doesn't add anything you'd not get from looking at the diff, especially as it contains a large documentation chunk explaining those parameters. No sequence diagram this time. That's a good thing! Overall verdict: noise (even if the amount is small), don't need this. comments posted CodeRabbit generated two comments for this PR. Interestingly, none of them overlapped with the issues ansible-lint and friends found. get rid of the FIXMEs Yepp, that's fair add validation for the new parameters Yepp, I forgot these (not intentionally!). The diff it suggests is nonsense, as it doesn't take into account the existing Ansible and Yum validations, but it clearly has read them as the style etc of the new ones matches. It also managed to group the parameters correctly by repository type, so it's something.
 if module.foreman_params['content_type'] != 'ansible_collection':
     invalid_list = [key for key in ['ansible_collection_requirements'] if key in module.foreman_params]
     if invalid_list:
         module.fail_json(msg="( 0 ) can only be used with content_type 'ansible_collection'".format(",".join(invalid_list)))
+
+# Validate ansible_collection specific parameters
+if module.foreman_params['content_type'] != 'ansible_collection':
+    invalid_list = [key for key in ['ansible_collection_auth_token', 'ansible_collection_auth_url'] if key in module.foreman_params]
+    if invalid_list:
+        module.fail_json(msg="( 0 ) can only be used with content_type 'ansible_collection'".format(",".join(invalid_list)))
+
+# Validate ostree specific parameters
+if module.foreman_params['content_type'] != 'ostree':
+    invalid_list = [key for key in ['depth', 'exclude_refs', 'include_refs'] if key in module.foreman_params]
+    if invalid_list:
+        module.fail_json(msg="( 0 ) can only be used with content_type 'ostree'".format(",".join(invalid_list)))
+
+# Validate python package specific parameters
+if module.foreman_params['content_type'] != 'python':
+    invalid_list = [key for key in ['excludes', 'includes', 'package_types', 'keep_latest_packages'] if key in module.foreman_params]
+    if invalid_list:
+        module.fail_json(msg="( 0 ) can only be used with content_type 'python'".format(",".join(invalid_list)))
+
+# Validate yum specific parameter
+if module.foreman_params['content_type'] != 'yum' and 'upstream_authentication_token' in module.foreman_params:
+    module.fail_json(msg="upstream_authentication_token can only be used with content_type 'yum'")
Interestingly, it also said "Note: If 'python' is not a valid content_type, please adjust the validation accordingly." which is quite a hint at a bug in itself. The module currently does not even allow to create content_type=python repositories. That should have been more prominent, as it's a BUG! parameter persistence in obsah PR: theforeman/obsah#72 summary posted Mostly correct. It did miss-interpret the change to a test playbook as an actual "behavior" change: "Introduced new playbook variables for database configuration" there is no database configuration in this repository, just the test playbook using the same metadata as a consumer of the library. Later on it does say "Playbook metadata and test fixtures", so unclear whether this is a miss-interpretation or just badly summarized. As long as you also look at the diff, it won't confuse you, but if you're using the summary as the sole source of information (bad!) it would. This time the sequence diagram is actually useful, yay. Again, not 100% accurate: it's missing the fact that saving the parameters is hidden behind an "if enabled" flag something it did represent correctly for loading them. Overall verdict: not really useful, don't need this. comments posted Here I was a bit surprised, especially as the nitpicks were useful! Persist-path should respect per-user state locations (nitpick) My original code used os.environ.get('OBSAH_PERSIST_PATH', '/var/lib/obsah/parameters.yaml') for the location of the persistence file. CodeRabbit correctly pointed out that this won't work for non-root users and one should respect XDG_STATE_HOME. Ewoud did point that out in his own review, so I am not sure whether CodeRabbit came up with this on its own, or also took the human comments into account. The suggested code seems fine too just doesn't use /var/lib/obsah at all anymore. This might be a good idea for the generic library we're working on here, and then be overridden to a static /var/lib path in a consumer (which always runs as root). In the end I did not implement it, but mostly because I was lazy and was sure we'd override it anyway. Positional parameters are silently excluded from persistence (nitpick) The library allows you to generate both positional (foo without --) and non-positional (--foo) parameters, but the code I wrote would only ever persist non-positional parameters. This was intentional, but there is no documentation of the intent in a comment which the rabbit thought would be worth pointing out. It's a fair nitpick and I ended up adding a comment. Enforce FQDN validation for database_host The library has a way to perform type checking on passed parameters, and one of the supported types is "FQDN" so a fully qualified domain name, with dots and stuff. The test playbook I added has a database_host variable, but I didn't bother adding a type to it, as I don't really need any type checking here. While using "FQDN" might be a bit too strict here technically a working database connection can also use a non-qualified name or an IP address, I was positively surprised by this suggestion. It shows that the rest of the repository was taken into context when preparing the suggestion. reset_args() can raise AttributeError when a key is absent This is a correct finding, the code is not written in a way that would survive if it tries to reset things that are not set. However, that's only true for the case where users pass in --reset-<parameter> without ever having set parameter before. The complaint about the part where the parameter is part of the persisted set but not in the parsed args is wrong as parsed args inherit from the persisted set. The suggested code is not well readable, so I ended up fixing it slightly differently. Persisted values bypass argparse type validation When persisting, I just yaml.safe_dump the parsed parameters, which means the YAML will contain native types like integers. The argparse documentation warns that the type checking argparse does only applies to strings and is skipped if you pass anything else (via default values). While correct, it doesn't really hurt here as the persisting only happens after the values were type-checked. So there is not really a reason to type-check them again. Well, unless the type changes, anyway. Not sure what I'll do with this comment. consider using contextlib.suppress This was added when I asked CodeRabbit for a re-review after pushing some changes. Interestingly, the PR already contained try: except: pass code before, and it did not flag that. Also, the code suggestion contained import contextlib in the middle of the code, instead in the head of the file. Who would do that?! But the comment as such was valid, so I fixed it in all places it is applicable, not only the one the rabbit found. workaround to ensure LCE and CV are always sent together PR: theforeman/foreman-ansible-modules#1867 summary posted
A workaround was added to the _update_entity method in the ForemanAnsibleModule class to ensure that when updating a host, both content_view_id and lifecycle_environment_id are always included together in the update payload. This prevents partial updates that could cause inconsistencies.
Partial updates are not a thing. The workaround is purely for the fact that Katello expects both parameters to be sent, even if only one of them needs an actual update. No diagram, good. Overall verdict: misleading summaries are bad! comments posted Given a small patch, there was only one comment. Implementation looks correct, but consider adding error handling for robustness. This reads correct on the first glance. More error handling is always better, right? But if you dig into the argumentation, you see it's wrong. Either: The AI accepted defeat once I asked it to analyze things in more detail, but why did I have to ask in the first place?! Summary Well, idk, really. Did the AI find things that humans did not find (or didn't bother to mention)? Yes. It's debatable whether these were useful (see e.g. the database_host example), but I tend to be in the "better to nitpick/suggest more and dismiss than oversee" team, so IMHO a positive win. Did the AI output help the humans with the review (useful summary etc)? In my opinion it did not. The summaries were either "lots of words, no real value" or plain wrong. The sequence diagrams were not useful either. Luckily all of that can be turned off in the settings, which is what I'd do if I'd continue using it. Did the AI output help the humans with the code (useful suggestions etc)? While the actual patches it posted were "meh" at best, there were useful findings that resulted in improvements to the code. Was the AI output misleading? Absolutely! The whole Jinja discussion would have been easier without the AI "help". Same applies for the "error handling" in the workaround PR. Was the AI output distracting? The output is certainly a lot, so yes I think it can be distracting. As mentioned, I think dropping the summaries can make the experience less distracting. What does all that mean? I will disable the summaries for the repositories, but will leave the @coderabbitai review trigger active if someone wants an AI-assisted review. This won't be something that I'll force on our contributors and maintainers, but they surely can use it if they want. But I don't think I'll be using this myself on a regular basis. Yes, it can be made "usable". But so can be vim ;-) Also, I'd prefer to have a junior human asking all the questions and making bad suggestions, so they can learn from it, and not some planet burning machine.

Matthew Garrett: Locally hosting an internet-connected server

I'm lucky enough to have a weird niche ISP available to me, so I'm paying $35 a month for around 600MBit symmetric data. Unfortunately they don't offer static IP addresses to residential customers, and nor do they allow multiple IP addresses per connection, and I'm the sort of person who'd like to run a bunch of stuff myself, so I've been looking for ways to manage this.

What I've ended up doing is renting a cheap VPS from a vendor that lets me add multiple IP addresses for minimal extra cost. The precise nature of the VPS isn't relevant - you just want a machine (it doesn't need much CPU, RAM, or storage) that has multiple world routeable IPv4 addresses associated with it and has no port blocks on incoming traffic. Ideally it's geographically local and peers with your ISP in order to reduce additional latency, but that's a nice to have rather than a requirement.

By setting that up you now have multiple real-world IP addresses that people can get to. How do we get them to the machine in your house you want to be accessible? First we need a connection between that machine and your VPS, and the easiest approach here is Wireguard. We only need a point-to-point link, nothing routable, and none of the IP addresses involved need to have anything to do with any of the rest of your network. So, on your local machine you want something like:

[Interface]
PrivateKey = privkeyhere
ListenPort = 51820
Address = localaddr/32

[Peer]
Endpoint = VPS:51820
PublicKey = pubkeyhere
AllowedIPs = VPS/0


And on your VPS, something like:

[Interface]
Address = vpswgaddr/32
SaveConfig = true
ListenPort = 51820
PrivateKey = privkeyhere

[Peer]
PublicKey = pubkeyhere
AllowedIPs = localaddr/32


The addresses here are (other than the VPS address) arbitrary - but they do need to be consistent, otherwise Wireguard is going to be unhappy and your packets will not have a fun time. Bring that interface up with wg-quick and make sure the devices can ping each other. Hurrah! That's the easy bit.

Now you want packets from the outside world to get to your internal machine. Let's say the external IP address you're going to use for that machine is 321.985.520.309 and the wireguard address of your local system is 867.420.696.005. On the VPS, you're going to want to do:

iptables -t nat -A PREROUTING -p tcp -d 321.985.520.309 -j DNAT --to-destination 867.420.696.005

Now, all incoming packets for 321.985.520.309 will be rewritten to head towards 867.420.696.005 instead (make sure you've set net.ipv4.ip_forward to 1 via sysctl!). Victory! Or is it? Well, no.

What we're doing here is rewriting the destination address of the packets so instead of heading to an address associated with the VPS, they're now going to head to your internal system over the Wireguard link. Which is then going to ignore them, because the AllowedIPs statement in the config only allows packets coming from your VPS, and these packets still have their original source IP. We could rewrite the source IP to match the VPS IP, but then you'd have no idea where any of these packets were coming from, and that sucks. Let's do something better. On the local machine, in the peer, let's update AllowedIps to 0.0.0.0/0 to permit packets form any source to appear over our Wireguard link. But if we bring the interface up now, it'll try to route all traffic over the Wireguard link, which isn't what we want. So we'll add table = off to the interface stanza of the config to disable that, and now we can bring the interface up without breaking everything but still allowing packets to reach us. However, we do still need to tell the kernel how to reach the remote VPN endpoint, which we can do with ip route add vpswgaddr dev wg0. Add this to the interface stanza as:

PostUp = ip route add vpswgaddr dev wg0
PreDown = ip route del vpswgaddr dev wg0


That's half the battle. The problem is that they're going to show up there with the source address still set to the original source IP, and your internal system is (because Linux) going to notice it has the ability to just send replies to the outside world via your ISP rather than via Wireguard and nothing is going to work. Thanks, Linux. Thinux.

But there's a way to solve this - policy routing. Linux allows you to have multiple separate routing tables, and define policy that controls which routing table will be used for a given packet. First, let's define a new table reference. On the local machine, edit /etc/iproute2/rt_tables and add a new entry that's something like:

1 wireguard


where "1" is just a standin for a number not otherwise used there. Now edit your wireguard config and replace table=off with table=wireguard - Wireguard will now update the wireguard routing table rather than the global one. Now all we need to do is to tell the kernel to push packets into the appropriate routing table - we can do that with ip rule add from localaddr lookup wireguard, which tells the kernel to take any packet coming from our Wireguard address and push it via the Wireguard routing table. Add that to your Wireguard interface config as:

PostUp = ip rule add from localaddr lookup wireguard
PreDown = ip rule del from localaddr lookup wireguard

and now your local system is effectively on the internet.

You can do this for multiple systems - just configure additional Wireguard interfaces on the VPS and make sure they're all listening on different ports. If your local IP changes then your local machines will end up reconnecting to the VPS, but to the outside world their accessible IP address will remain the same. It's like having a real IP without the pain of convincing your ISP to give it to you.

comment count unavailable comments

16 June 2025

Kentaro Hayashi: Fixing long standing font issue about Debian Graphical Installer

Introduction This is just a note-taking about how fixed the long standing font issue about Debian Graphical Installer for up-coming trixie ready. Recently, this issue had been resolved by Cyril Brulebois. Thanks!

What is the problem? Because of Han unification, wrong font typefaces are rendered by default when you choose Japanese language using Graphical Debian installer.
"Wrong" glyph for Japanese
Most of typefaces seems correct, but there are wrong typefaces (Simplified Chinese) which is used for widget rendering. This issue will not be solved during using DroidSansFallback.ttf continuously for Japanese. Thus, it means that we need to switch font itself which contains Japanese typeface to fix this issue. If you wan to know about how Han Unification is harmful in this context, See

What causes this problem? In short, fonts-android (DroidSansFallback.ttf) had been used for CJK, especially for Japanese. Since Debian 9 (stretch), fonts-android was adopted for CJK fonts by default. Thus this issue was not resolved in Debian 9, Debian 10, Debian 11 and Debian 12 release cycle!

What is the impact about this issue? For sadly, Japanese native speakers can recognize such a unexpectedly rendered "Wrong" glyph, so it is not hard to continue Debian installation process. Even if there is no problem with the installer's functionality, it gives a terrible user experience for newbie. For example, how can you trust an installer which contains full of typos? It is similar situation for Japanese users.

How Debian Graphical Installer was fixed? In short, newly fonts-motoya-l-cedar-udeb was bundled for Japanese, and changed to switch that font via gtk-set-font command. It was difficult that what is the best font to deal font file size and visibility. Typically Japanese font file occupies extra a few MB. Luckily, some space was back for Installer, it was not seen as a problem (I guess). As a bonus, we tried to investigate a possibility of font compression mechanism for Installer, but it was regarded as too complicated and not suitable for trixie release cycle.

Conclution
  • The font issue was fixed in Debian Graphical Installer for Japanese
  • As recently fixed, not officially shipped yet (NOTE Debian Installer Trixie RC1 does not contain this fix) Try daily build installer if you want.
This article was written with Ultimate Hacking Keyboard 60 v2 with Rizer 60 (New my gear!).

15 June 2025

Iustin Pop: Markdown lint and site cleanup

I was not aware that one can write bad Markdown, since Markdown has such a simple syntax, that I thought you just write, and it s fine. Na ve, I know! I ve started editing the files for this blog/site with Visual Studio Code too, and I had from another project the markdown lint extension installed, so as I was opening old files, more and more problems appeared. On a whim, I searched and found the lint all files command, and after running it, oops more than 400 problems! Now, some of them were entirely trivial and a matter of subjective style, like mixing both underscore and asterisk for emphasis in a single file, and asterisks and dashes for list items. Others, seemingly trivial like tab indentation, were actually also causing rendering issues, so fixing that solved a real cosmetic issue. But some of the issues flagged were actual problems. For example, one sentence that I had, was:
there seems to be some race condition between <something> and ntp
Here something was interpreted as an (invalid) HTML tag, and not rendered at all. Another problem, but more minor, was that I had links to Wikipedia with spaces in the link name, which Visual Studio Code breaks at first space, rather than encoded spaces or underscores-based, as Wikipedia generates today. In the rendered output, Pandoc seemed to do the right think though. However, the most interesting issue that was flagged was no details in HTML links, i.e. links of the form:
for more details, see [here](http://example.com).
Which works for non-visually impaired people, but not for people using assistive technologies. And while trying to fix this, it turns out that you can do much better, for everyone, because here is really non-descriptive. You can use either the content as label ( an article about configuring BIND ), or the destination ( an article on this-website ), rather than the plain here . The only, really only check I disabled, was tweaking the trailing punctuation checks in headers, as I really like to write a header that ends with exclamation marks. I like exclamation marks in general! So why not use them in headers too. The question mark is allowlisted by default, though that I use rarely. During the changes/tweaks, I also did random improvements, but I didn t change the updated tag, since most of them were minor. But a non-minor thing was tweaking the CSS for code blocks, since I had a really stupid non-symmetry between top and bottom padding (5px vs 0), and which I don t know where it came from. But the MDN article on padding has as an example exactly what I had (except combined, I had it split). Did I just copy blindly? Possible So, all good and then, and I hope this doesn t trigger a flow of updates on any aggregators, since all the changes were really trivial. And while I don t write often, I did touch about 60 posts or pages, ouch! Who knew that changing editors can have such a large impact

Sahil Dhiman: A Look at .UA ccTLD Authoritative Name Servers

I find the case of the .UA country code top level domain (ccTLD) interesting simply because of the different name server secondaries they have now. Post Russian invasion, the cyber warfare peaked, and critical infrastructure like getting one side ccTLD down would be big news in anycase. Most (g/cc)TLDs are served by two (and less likely) by three or more providers. Even in those cases, not all authoritative name servers are anycasted. Take, example of .NL ccTLD name servers:
$ dig ns nl +short
ns1.dns.nl.
ns3.dns.nl.
ns4.dns.nl.
ns1.dns.nl is SIDN which also manages their registry. ns3.dns.nl is ReCodeZero/ipcom, another anycast secondary. ns4.dns.nl is CIRA, anycast secondary. That s 3 diverse, anycast networks to serve the .NL ccTLD. .DE has a bit more at name servers at 6 but only 3 seems anycasted. Now let s take a look at .UA. Hostmaster LLC is the registry operator of the .UA ccTLD since 2001.
$ dig soa ua +short
in1.ns.ua. domain-master.cctld.ua. 2025061434 1818 909 3024000 2020
Shows in1.ns.ua as primary nameserver (which can be intentionally deceptive too). I used bgp.tools for checking anycast and dns.coffee for timeline of when secondary nameserver was added. dns.coffee only has data going back till 2011 though. Let s deep dive at who s hosting each of the name servers:

in1.ns.ua by Intuix LLC
  • 74.123.224.40
  • 2604:ee00:0:101:0:0:0:40
  • unicast
  • Serving .UA since 13/12/2018.
  • Company by Dmitry Kohmanyuk and Igor Sviridov who re administrative and technical contacts for .UA zone as well as the IANA DB.

ho1.ns.ua by Hostmaster LLC
  • 195.47.253.1
  • 2001:67c:258:0:0:0:0:1
  • bgp.tools doesn t mark the prefix as anycast but basis test from various location, this is indeed anycasted (visible in atleast DE, US, UA etc.). Total POPs unknown.
  • Serving .UA atleast since 2011.
  • The registry themselves.

bg.ns.ua by ClouDNS
  • 185.136.96.185 and 185.136.97.185
  • 2a06:fb00:1:0:0:0:4:185 and 2a06:fb00:1:0:0:0:2:185
  • anycast
  • Serving .UA since 01/03/2022.
  • atleast 62 PoPs

cz.ns.ua by NIC.cz

nn.ns.ua by Netnod
  • 194.58.197.4
  • 2a01:3f1:c001:0:0:0:0:53
  • anycast
  • atleast 80 PoPs.
  • Serving .UA since 01/12/2022.
  • Netnod has the distinction of being one of the 13 root server operator (i.root-servers.net) and .SE operator.

pch.ns.ua by PCH
  • 204.61.216.12
  • 2001:500:14:6012:ad:0:0:1
  • anycast
  • atleast 328 POPs.
  • Serving .UA atleast since 2011.
  • With more than 36 years of production anycast DNS experience, two of the root name server operators and more than 172 top-level domain registries using our infrastructure, and more than 120 million resource records in service from https://www.pch.net/services/anycast.

rcz.ns.ua by RcodeZero
  • 193.46.128.10
  • 2a02:850:ffe0:0:0:0:0:10
  • anycast
  • Atleast 56 PoPs via 2 different cloud providers.
  • Serving .UA since 04/02/2022.
  • sister company of nic.at (.AT operator).

Some points to note
  • That s 1 unicast and 6 anycast name servers with hundreds of POPs from 7 different organizations.
  • Having X number of Point of Presence (POP) doesn t always mean each location is serving the .UA nameserver prefix.
  • Number of POPs keeps going up or down based on operational requirements and optimizations.
  • Highest concentration of DNS queries for a ccTLD would essentially originate in the country (or larger region) itself. If one of the secondaries doesn t have POP inside UA, the query might very well be served from outside the country, which can affect resolution and may even stop during outages and fiber cuts (which have become common there it seems). - Global POPs do help in faster resolutions for others/outside users though and ofcourse availability.
  • Having this much diversity does lessen the chance of the ccTLD going down. Theoretically, the adversary has to bring down 7 different networks/setups before resolution starts failing (post TTLs expiry).

11 June 2025

Freexian Collaborators: Monthly report about Debian Long Term Support, May 2025 (by Roberto C. S nchez)

Like each month, have a look at the work funded by Freexian s Debian LTS offering.

Debian LTS contributors In May, 22 contributors have been paid to work on Debian LTS, their reports are available:
  • Abhijith PA did 8.0h (out of 0.0h assigned and 8.0h from previous period).
  • Adrian Bunk did 26.0h (out of 26.0h assigned).
  • Andreas Henriksson did 1.0h (out of 15.0h assigned and 3.0h from previous period), thus carrying over 17.0h to the next month.
  • Andrej Shadura did 3.0h (out of 10.0h assigned), thus carrying over 7.0h to the next month.
  • Bastien Roucari s did 20.0h (out of 20.0h assigned).
  • Ben Hutchings did 8.0h (out of 20.0h assigned and 4.0h from previous period), thus carrying over 16.0h to the next month.
  • Carlos Henrique Lima Melara did 12.0h (out of 11.0h assigned and 1.0h from previous period).
  • Chris Lamb did 15.5h (out of 0.0h assigned and 15.5h from previous period).
  • Daniel Leidert did 25.0h (out of 26.0h assigned), thus carrying over 1.0h to the next month.
  • Emilio Pozuelo Monfort did 21.0h (out of 16.75h assigned and 11.0h from previous period), thus carrying over 6.75h to the next month.
  • Guilhem Moulin did 11.5h (out of 8.5h assigned and 6.5h from previous period), thus carrying over 3.5h to the next month.
  • Jochen Sprickerhof did 3.5h (out of 8.75h assigned and 17.5h from previous period), thus carrying over 22.75h to the next month.
  • Lee Garrett did 26.0h (out of 12.75h assigned and 13.25h from previous period).
  • Lucas Kanashiro did 20.0h (out of 18.0h assigned and 2.0h from previous period).
  • Markus Koschany did 20.0h (out of 26.25h assigned), thus carrying over 6.25h to the next month.
  • Roberto C. S nchez did 20.75h (out of 24.0h assigned), thus carrying over 3.25h to the next month.
  • Santiago Ruano Rinc n did 15.0h (out of 12.5h assigned and 2.5h from previous period).
  • Sean Whitton did 6.25h (out of 6.0h assigned and 2.0h from previous period), thus carrying over 1.75h to the next month.
  • Sylvain Beucler did 26.25h (out of 26.25h assigned).
  • Thorsten Alteholz did 15.0h (out of 15.0h assigned).
  • Tobias Frost did 12.0h (out of 12.0h assigned).
  • Utkarsh Gupta did 1.0h (out of 15.0h assigned), thus carrying over 14.0h to the next month.

Evolution of the situation In May, we released 54 DLAs. The LTS Team was particularly active in May, publishing a higher than normal number of advisories, as well as helping with a wide range of updates to packages in stable and unstable, plus some other interesting work. We are also pleased to welcome several updates from contributors outside the regular team.
  • Notable security updates:
    • containerd, prepared by Andreas Henriksson, fixes a vulnerability that could cause containers launched as non-root users to be run as root
    • libapache2-mod-auth-openidc, prepared by Moritz Schlarb, fixes a vulnerability which could allow an attacker to crash an Apache web server with libapache2-mod-auth-openidc installed
    • request-tracker4, prepared by Andrew Ruthven, fixes multiple vulnerabilities which could result in information disclosure, cross-site scripting and use of weak encryption for S/MIME emails
    • postgresql-13, prepared by Bastien Roucari s, fixes an application crash vulnerability that could affect the server or applications using libpq
    • dropbear, prepared by Guilhem Moulin, fixes a vulnerability which could potentially result in execution of arbitrary shell commands
    • openjdk-17, openjdk-11, prepared by Thorsten Glaser, fixes several vulnerabilities, which include denial of service, information disclosure or bypass of sandbox restrictions
    • glibc, prepared by Sean Whitton, fixes a privilege escalation vulnerability
  • Notable non-security updates:
    • wireless-regdb, prepared by Ben Hutchings, updates information reflecting changes to radio regulations in many countries
This month s contributions from outside the regular team include the libapache2-mod-auth-openidc update mentioned above, prepared by Moritz Schlarb (the maintainer of the package); the update of request-tracker4, prepared by Andrew Ruthven (the maintainer of the package); and the updates of openjdk-17 and openjdk-11, also noted above, prepared by Thorsten Glaser. Additionally, LTS Team members contributed stable updates of the following packages:
  • rubygems and yelp/yelp-xsl, prepared by Lucas Kanashiro
  • simplesamlphp, prepared by Tobias Frost
  • libbson-xs-perl, prepared by Roberto C. S nchez
  • fossil, prepared by Sylvain Beucler
  • setuptools and mydumper, prepared by Lee Garrett
  • redis and webpy, prepared by Adrian Bunk
  • xrdp, prepared by Abhijith PA
  • tcpdf, prepared by Santiago Ruano Rinc n
  • kmail-account-wizard, prepared by Thorsten Alteholz
Other contributions were also made by LTS Team members to packages in unstable:
  • proftpd-dfsg DEP-8 tests (autopkgtests) were provided to the maintainer, prepared by Lucas Kanashiro
  • a regular upload of libsoup2.4, prepared by Sean Whitton
  • a regular upload of setuptools, prepared by Lee Garrett
Freexian, the entity behind the management of the Debian LTS project, has been working for some time now on the development of an advanced CI platform for Debian-based distributions, called Debusine. Recently, Debusine has reached a level of feature implementation that makes it very usable. Some members of the LTS Team have been using Debusine informally, and during May LTS coordinator Santiago Ruano Rinc n has made a call for the team to help with testing of Debusine, and to help evaluate its suitability for the LTS Team to eventually begin using as the primary mechanism for uploading packages into Debian. Team members who have started using Debusine are providing valuable feedback to the Debusine development team, thus helping to improve the platform for all users. Actually, a number of updates, for both bullseye and bookworm, made during the month of May were handled using Debusine, e.g. rubygems s DLA-4163-1. By the way, if you are a Debian Developer, you can easily test Debusine following the instructions found at https://wiki.debian.org/DebusineDebianNet. DebConf, the annual Debian Conference, is coming up in July and, as is customary each year, the week preceding the conference will feature an event called DebCamp. The DebCamp week provides an opportunity for teams and other interested groups/individuals to meet together in person in the same venue as the conference itself, with the purpose of doing focused work, often called sprints . LTS coordinator Roberto C. S nchez has announced that the LTS Team is planning to hold a sprint primarily focused on the Debian security tracker and the associated tooling used by the LTS Team and the Debian Security Team.

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8 June 2025

Debian Outreach Team: GSoC 2024 Final Report: Project DebMobCom

GSoC 2024: Project DebMobCom

Introduction Hi, my name is Nathan Doris and this is my report on contributing to the Debian Mobile Communication project for GSoC 2024 under the guidance of my mentor, Thorsten Alteholz.

Project MobCom Debian s Mobile Communication team takes care of updating and creating packages for the open-source mobile communication software suite known as Osmocom. The ongoing development of this software stack requires constant updating and creation of packages to support this progress. The goal of GSoC 2024 DebMobCom is to update, recreate and add these Osmocom packages.

My Work Over the few months that I contributed to Debian I successfully updated/recreated more than a dozen packages for DebMobCom. A list of my accomplishments can be found here as well as on the Debian QA page.

What I Learned Before I began this journey I had very little experience with Debian packaging. By the end of GSoC not only had I learned about building packages but I also gained more knowledge regarding Linux, Debian, shell scripting, automake, C, GNU and gitlab/Salsa. As I reflect back on the past few months I am amazed at the amount and depth of information I have learned. Listed below are examples of items that I found especially important.
  • Debian Packaging Workflow
    • Every package to be built relies upon the information inside the /debian folder. This is where I learned the importance of every templated file such as the control, changelog, rules, watch, *.symbols, *.install and many others. As I worked on these files I witnessed the relationship between them and the finished .deb package. From this workflow I can appreciate the amount of imagination and work that was put into this process.
  • Debian Tooling
    • I learned many tools while building packages but sbuild accompanied by lintian is what I spent the most time with. Sbuild is an autobuilder that produces the final .deb packages. It also integrates with another tool, lintian, which checks each package and informs you of any errors such as policy violations, common mistakes and best practices. Thorsten s words, keep lintian happy still resonate with me after each package build.
    • Another tool I frequently require use of is quilt. Quilt is a wonderful tool that manages patches for packages. I became quite well versed in updating patches, removing and also creating my own.
  • Copyright
    • I hadn t realised how important licensing was until I started contributing to Debian. I predominantly used licensecheck to extract copyright information from source code. This was a tedious task but obviously extremely important in keeping Debian packages free.

Challenges What I found particularly challenging (and enjoyable) was the amount of troubleshooting required to complete tasks. Although I spent countless hours reading documentation such as the New Maintainers Guide, Policy Manual, Wiki and manual pages it was still extremely difficult. Complex packages are not quite covered in the docs so out-of-the-box thinking is required.

Conclusion First of all I d like to say a big thank you to my mentor Thorsten. His support was critical for my success. Contributing to Debian and the overall GSoC experience was such a positive event in my life. I enjoyed all aspects of the experience. The skills I have acquired will propel me forward into further open-source activities and communities. As I continue to contribute to this project my goal of becoming a Debian Maintainer is becoming a reality.

Colin Watson: Free software activity in May 2025

My Debian contributions this month were all sponsored by Freexian. Things were a bit quieter than usual, as for the most part I was sticking to things that seemed urgent for the upcoming trixie release. You can also support my work directly via Liberapay or GitHub Sponsors. OpenSSH After my appeal for help last month to debug intermittent sshd crashes, Michel Casabona helped me put together an environment where I could reproduce it, which allowed me to track it down to a root cause and fix it. (I also found a misuse of strlcpy affecting at least glibc-based systems in passing, though I think that was unrelated.) I worked with Daniel Kahn Gillmor to fix a regression in ssh-agent socket handling. I fixed a reproducibility bug depending on whether passwd is installed on the build system, which would have affected security updates during the lifetime of trixie. I backported openssh 1:10.0p1-5 to bookworm-backports. I issued bookworm and bullseye updates for CVE-2025-32728. groff I backported a fix for incorrect output when formatting multiple documents as PDF/PostScript at once. debmirror I added a simple autopkgtest. Python team I upgraded these packages to new upstream versions: In bookworm-backports, I updated these packages: I fixed problems building these packages reproducibly: I backported fixes for some security vulnerabilities to unstable (since we re in freeze now so it s not always appropriate to upgrade to new upstream versions): I fixed various other build/test failures: I added non-superficial autopkgtests to these packages: I packaged python-django-hashids and python-django-pgbulk, needed for new upstream versions of python-django-pgtrigger. I ported storm to Python 3.14. Science team I fixed a build failure in apertium-oci-fra.

6 June 2025

Reproducible Builds: Reproducible Builds in May 2025

Welcome to our 5th report from the Reproducible Builds project in 2025! Our monthly reports outline what we ve been up to over the past month, and highlight items of news from elsewhere in the increasingly-important area of software supply-chain security. If you are interested in contributing to the Reproducible Builds project, please do visit the Contribute page on our website. In this report:
  1. Security audit of Reproducible Builds tools published
  2. When good pseudorandom numbers go bad
  3. Academic articles
  4. Distribution work
  5. diffoscope and disorderfs
  6. Website updates
  7. Reproducibility testing framework
  8. Upstream patches

Security audit of Reproducible Builds tools published The Open Technology Fund s (OTF) security partner Security Research Labs recently an conducted audit of some specific parts of tools developed by Reproducible Builds. This form of security audit, sometimes called a whitebox audit, is a form testing in which auditors have complete knowledge of the item being tested. They auditors assessed the various codebases for resilience against hacking, with key areas including differential report formats in diffoscope, common client web attacks, command injection, privilege management, hidden modifications in the build process and attack vectors that might enable denials of service. The audit focused on three core Reproducible Builds tools: diffoscope, a Python application that unpacks archives of files and directories and transforms their binary formats into human-readable form in order to compare them; strip-nondeterminism, a Perl program that improves reproducibility by stripping out non-deterministic information such as timestamps or other elements introduced during packaging; and reprotest, a Python application that builds source code multiple times in various environments in order to to test reproducibility. OTF s announcement contains more of an overview of the audit, and the full 24-page report is available in PDF form as well.

When good pseudorandom numbers go bad Danielle Navarro published an interesting and amusing article on their blog on When good pseudorandom numbers go bad. Danielle sets the stage as follows:
[Colleagues] approached me to talk about a reproducibility issue they d been having with some R code. They d been running simulations that rely on generating samples from a multivariate normal distribution, and despite doing the prudent thing and using set.seed() to control the state of the random number generator (RNG), the results were not computationally reproducible. The same code, executed on different machines, would produce different random numbers. The numbers weren t just a little bit different in the way that we ve all wearily learned to expect when you try to force computers to do mathematics. They were painfully, brutally, catastrophically, irreproducible different. Somewhere, somehow, something broke.
Thanks to David Wheeler for posting about this article on our mailing list

Academic articles There were two scholarly articles published this month that related to reproducibility: Daniel Hugenroth and Alastair R. Beresford of the University of Cambridge in the United Kingdom and Mario Lins and Ren Mayrhofer of Johannes Kepler University in Linz, Austria published an article titled Attestable builds: compiling verifiable binaries on untrusted systems using trusted execution environments. In their paper, they:
present attestable builds, a new paradigm to provide strong source-to-binary correspondence in software artifacts. We tackle the challenge of opaque build pipelines that disconnect the trust between source code, which can be understood and audited, and the final binary artifact, which is difficult to inspect. Our system uses modern trusted execution environments (TEEs) and sandboxed build containers to provide strong guarantees that a given artifact was correctly built from a specific source code snapshot. As such it complements existing approaches like reproducible builds which typically require time-intensive modifications to existing build configurations and dependencies, and require independent parties to continuously build and verify artifacts.
The authors compare attestable builds with reproducible builds by noting an attestable build requires only minimal changes to an existing project, and offers nearly instantaneous verification of the correspondence between a given binary and the source code and build pipeline used to construct it , and proceed by determining that t he overhead (42 seconds start-up latency and 14% increase in build duration) is small in comparison to the overall build time.
Timo Pohl, Pavel Nov k, Marc Ohm and Michael Meier have published a paper called Towards Reproducibility for Software Packages in Scripting Language Ecosystems. The authors note that past research into Reproducible Builds has focused primarily on compiled languages and their ecosystems, with a further emphasis on Linux distribution packages:
However, the popular scripting language ecosystems potentially face unique issues given the systematic difference in distributed artifacts. This Systemization of Knowledge (SoK) [paper] provides an overview of existing research, aiming to highlight future directions, as well as chances to transfer existing knowledge from compiled language ecosystems. To that end, we work out key aspects in current research, systematize identified challenges for software reproducibility, and map them between the ecosystems.
Ultimately, the three authors find that the literature is sparse , focusing on few individual problems and ecosystems, and therefore identify space for more critical research.

Distribution work In Debian this month:
Hans-Christoph Steiner of the F-Droid catalogue of open source applications for the Android platform published a blog post on Making reproducible builds visible. Noting that Reproducible builds are essential in order to have trustworthy software , Hans also mentions that F-Droid has been delivering reproducible builds since 2015 . However:
There is now a Reproducibility Status link for each app on f-droid.org, listed on every app s page. Our verification server shows or based on its build results, where means our rebuilder reproduced the same APK file and means it did not. The IzzyOnDroid repository has developed a more elaborate system of badges which displays a for each rebuilder. Additionally, there is a sketch of a five-level graph to represent some aspects about which processes were run.
Hans compares the approach with projects such as Arch Linux and Debian that provide developer-facing tools to give feedback about reproducible builds, but do not display information about reproducible builds in the user-facing interfaces like the package management GUIs.
Arnout Engelen of the NixOS project has been working on reproducing the minimal installation ISO image. This month, Arnout has successfully reproduced the build of the minimal image for the 25.05 release without relying on the binary cache. Work on also reproducing the graphical installer image is ongoing.
In openSUSE news, Bernhard M. Wiedemann posted another monthly update for their work there.
Lastly in Fedora news, Jelle van der Waa opened issues tracking reproducible issues in Haskell documentation, Qt6 recording the host kernel and R packages recording the current date. The R packages can be made reproducible with packaging changes in Fedora.

diffoscope & disorderfs diffoscope is our in-depth and content-aware diff utility that can locate and diagnose reproducibility issues. This month, Chris Lamb made the following changes, including preparing and uploading versions 295, 296 and 297 to Debian:
  • Don t rely on zipdetails --walk argument being available, and only add that argument on newer versions after we test for that. [ ]
  • Review and merge support for NuGet packages from Omair Majid. [ ]
  • Update copyright years. [ ]
  • Merge support for an lzma comparator from Will Hollywood. [ ][ ]
Chris also merged an impressive changeset from Siva Mahadevan to make disorderfs more portable, especially on FreeBSD. disorderfs is our FUSE-based filesystem that deliberately introduces non-determinism into directory system calls in order to flush out reproducibility issues [ ]. This was then uploaded to Debian as version 0.6.0-1. Lastly, Vagrant Cascadian updated diffoscope in GNU Guix to version 296 [ ][ ] and 297 [ ][ ], and disorderfs to version 0.6.0 [ ][ ].

Website updates Once again, there were a number of improvements made to our website this month including:

Reproducibility testing framework The Reproducible Builds project operates a comprehensive testing framework running primarily at tests.reproducible-builds.org in order to check packages and other artifacts for reproducibility. However, Holger Levsen posted to our mailing list this month in order to bring a wider awareness to funding issues faced by the Oregon State University (OSU) Open Source Lab (OSL). As mentioned on OSL s public post, recent changes in university funding makes our current funding model no longer sustainable [and that] unless we secure $250,000 in committed funds, the OSL will shut down later this year . As Holger notes in his post to our mailing list, the Reproducible Builds project relies on hardware nodes hosted there. Nevertheless, Lance Albertson of OSL posted an update to the funding situation later in the month with broadly positive news.
Separate to this, there were various changes to the Jenkins setup this month, which is used as the backend driver of for both tests.reproducible-builds.org and reproduce.debian.net, including:
  • Migrating the central jenkins.debian.net server AMD Opteron to Intel Haswell CPUs. Thanks to IONOS for hosting this server since 2012.
  • After testing it for almost ten years, the i386 architecture has been dropped from tests.reproducible-builds.org. This is because that, with the upcoming release of Debian trixie, i386 is no longer supported as a regular architecture there will be no official kernel and no Debian installer for i386 systems. As a result, a large number of nodes hosted by Infomaniak have been retooled from i386 to amd64.
  • Another node, ionos17-amd64.debian.net, which is used for verifying packages for all.reproduce.debian.net (hosted by IONOS) has had its memory increased from 40 to 64GB, and the number of cores doubled to 32 as well. In addition, two nodes generously hosted by OSUOSL have had their memory doubled to 16GB.
  • Lastly, we have been granted access to more riscv64 architecture boards, so now we have seven such nodes, all with 16GB memory and 4 cores that are verifying packages for riscv64.reproduce.debian.net. Many thanks to PLCT Lab, ISCAS for providing those.

Outside of this, a number of smaller changes were also made by Holger Levsen:
  • reproduce.debian.net-related:
    • Only use two workers for the ppc64el architecture due to RAM size. [ ]
    • Monitor nginx_request and nginx_status with the Munin monitoring system. [ ][ ]
    • Detect various variants of network and memory errors. [ ][ ][ ][ ]
    • Add a prominent link to reproducible-builds.org. [ ]
    • Add a rebuilderd-cache-cleanup.service and run it daily via timer. [ ][ ][ ][ ][ ]
    • Be more verbose what sources are being downloaded. [ ]
    • Correctly deal with packages with an epoch in their version [ ] and deal with binNMUs versions with an epoch as well [ ][ ].
    • Document how to reschedule all other errors on all archs. [ ]
    • Misc documentation improvements. [ ][ ][ ][ ]
    • Include the $HOSTNAME variable in the rebuilderd logfiles. [ ]
    • Install the equivs package on all worker nodes. [ ][ ]
  • Jenkins nodes:
    • Permit the sudo tool to fix up permission issues. [ ][ ]
    • Document how to manage diskspace with OpenStack. [ ]
    • Ignore a number of spurious monitoring errors on riscv64, FreeBSD, etc.. [ ][ ][ ][ ]
    • Install ntpsec-ntpdate (instead of ntpdate) as the former is available on Debian trixie and bookworm. [ ][ ]
    • Use the same SSH ControlPath for all nodes. [ ]
    • Make sure the munin user uses the same SSH config as the jenkins user. [ ]
  • tests.reproducible-builds.org-related:
    • Disable testing of the i386 architecture. [ ][ ][ ][ ][ ]
    • Document the current disk usage. [ ][ ]
    • Address some image placement now that we only test three architectures. [ ]
    • Keep track of build performance. [ ]
  • Misc:
    • Fix a (harmless) typo in the multiarch_versionskew script. [ ]
In addition, Jochen Sprickerhof made a series of changes related to reproduce.debian.net:
  • Add out of memory detection to the statistics page. [ ]
  • Reverse the sorting order on the statistics page. [ ][ ][ ][ ]
  • Improve the spacing between statistics groups. [ ]
  • Update a (hard-coded) line number in error message detection pertaining to a debrebuild line number. [ ]
  • Support Debian unstable in the rebuilder-debian.sh script. [ ] ]
  • Rely on rebuildctl to sync only arch-specific packages. [ ][ ]

Upstream patches The Reproducible Builds project detects, dissects and attempts to fix as many currently-unreproducible packages as possible. This month, we wrote a large number of such patches, including:

Finally, if you are interested in contributing to the Reproducible Builds project, please visit our Contribute page on our website. However, you can get in touch with us via:

Dirk Eddelbuettel: #49: The Two Cultures of Deploying Statistical Software

Welcome to post 49 in the R4 series. The Two Cultures is a term first used by C.P. Snow in a 1959 speech and monograph focused on the split between humanities and the sciences. Decades later, the term was (quite famously) re-used by Leo Breiman in a (somewhat prophetic) 2001 article about the split between data models and algorithmic models . In this note, we argue that statistical computing practice and deployment can also be described via this Two Cultures moniker. Referring to the term linking these foundational pieces is of course headline bait. Yet when preparing for the discussion of r2u in the invited talk in Mons (video, slides), it occurred to me that there is in fact a wide gulf between two alternative approaches of using R and, specifically, deploying packages. On the one hand we have the approach described by my friend Jeff as you go to the Apple store, buy the nicest machine you can afford, install what you need and then never ever touch it . A computer / workstation / laptop is seen as an immutable object where every attempt at change may lead to breakage, instability, and general chaos and is hence best avoided. If you know Jeff, you know he exaggerates. Maybe only slightly though. Similarly, an entire sub-culture of users striving for reproducibility (and sometimes also replicability ) does the same. This is for example evidenced by the popularity of package renv by Rcpp collaborator and pal Kevin. The expressed hope is that by nailing down a (sub)set of packages, outcomes are constrained to be unchanged. Hope springs eternal, clearly. (Personally, if need be, I do the same with Docker containers and their respective Dockerfile.) On the other hand, rolling is fundamentally different approach. One (well known) example is Google building everything at @HEAD . The entire (ginormous) code base is considered as a mono-repo which at any point in time is expected to be buildable as is. All changes made are pre-tested to be free of side effects to other parts. This sounds hard, and likely is more involved than an alternative of a whatever works approach of independent changes and just hoping for the best. Another example is a rolling (Linux) distribution as for example Debian. Changes are first committed to a staging place (Debian calls this the unstable distribution) and, if no side effects are seen, propagated after a fixed number of days to the rolling distribution (called testing ). With this mechanism, testing should always be installable too. And based on the rolling distribution, at certain times (for Debian roughly every two years) a release is made from testing into stable (following more elaborate testing). The released stable version is then immutable (apart from fixes for seriously grave bugs and of course security updates). So this provides the connection between frequent and rolling updates, and produces immutable fixed set: a release. This Debian approach has been influential for any other projects including CRAN as can be seen in aspects of its system providing a rolling set of curated packages. Instead of a staging area for all packages, extensive tests are made for candidate packages before adding an update. This aims to ensure quality and consistence and has worked remarkably well. We argue that it has clearly contributed to the success and renown of CRAN. Now, when accessing CRAN from R, we fundamentally have two accessor functions. But seemingly only one is widely known and used. In what we may call the Jeff model , everybody is happy to deploy install.packages() for initial installations. That sentiment is clearly expressed by this bsky post:
One of my #rstats coding rituals is that every time I load a @vincentab.bsky.social package I go check for a new version because invariably it s been updated with 18 new major features
And that is why we have two cultures. Because some of us, yours truly included, also use update.packages() at recurring (frequent !!) intervals: daily or near-daily for me. The goodness and, dare I say, gift of packages is not limited to those by my pal Vincent. CRAN updates all the time, and updates are (generally) full of (usually excellent) changes, fixes, or new features. So update frequently! Doing (many but small) updates (frequently) is less invasive than (large, infrequent) waterfall -style changes! But the fear of change, or disruption, is clearly pervasive. One can only speculate why. Is the experience of updating so painful on other operating systems? Is it maybe a lack of exposure / tutorials on best practices? These Two Cultures coexist. When I delivered the talk in Mons, I briefly asked for a show of hands among all the R users in the audience to see who in fact does use update.packages() regularly. And maybe a handful of hands went up: surprisingly few! Now back to the context of installing packages: Clearly only installing has its uses. For continuous integration checks we generally install into ephemeral temporary setups. Some debugging work may be with one-off container or virtual machine setups. But all other uses may well be under maintained setups. So consider calling update.packages() once in while. Or even weekly or daily. The rolling feature of CRAN is a real benefit, and it is there for the taking and enrichment of your statistical computing experience. So to sum up, the real power is to use For both tasks, relying on binary installations accelerates and eases the process. And where available, using binary installation with system-dependency support as r2u does makes it easier still, following the r2u slogan of Fast. Easy. Reliable. Pick All Three. Give it a try!

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can now sponsor me at GitHub.

4 June 2025

Gunnar Wolf: The subjective value of privacy Assessing individuals' calculus of costs and benefits in the context of state surveillance

This post is an unpublished review for The subjective value of privacy Assessing individuals' calculus of costs and benefits in the context of state surveillance
Internet users, software developers, academics, entrepreneurs basically everybody is now aware of the importance of considering privacy as a core part of our online experience. User demand, and various national or regional laws, have made privacy a continuously present subject. And privacy is such an all-encompassing, complex topic, the angles from which it can be studied seems never to finish; I recommend computer networking-oriented newcomers to the topic to refer to Brian Kernighan s excellent work [1]. However, how do regular people like ourselves, in our many capacities feel about privacy? Lukas Antoine presents a series of experiments aiming at better understanding how people throughout the world understands privacy, and when is privacy held as more or less important than security in different aspects, Particularly, privacy is often portrayed as a value set at tension against surveillance, and particularly state surveillance, in the name of security: conventional wisdom presents the idea of privacy calculus. This is, it is often assumed that individuals continuously evaluate the costs and benefits of divulging their personal data, sharing data when they expect a positive net outcome, and denying it otherwise. This framework has been accepted for decades, and the author wishes to challenge it. This book is clearly his doctoral thesis on political sciences, and its contents are as thorough as expected in this kind of product. The author presents three empirical studies based on cross-survey analysis. The first experiment explores the security justifications for surveillance and how they influence their support. The second one searches whether the stance on surveillance can be made dependent on personal convenience or financial cost. The third study explores whether privacy attitude is context-dependant or can be seen as a stable personality trait. The studies aim to address the shortcomings of published literature in the field, mainly, (a) the lack of comprehensive research on state surveillance, needed or better understanding privacy appreciation, (b) while several studies have tackled the subjective measure of privacy, there is a lack of cross-national studies to explain wide-ranging phenomena, (c) most studies in this regard are based on population-based surveys, which cannot establish causal relationships, (d) a seemingly blind acceptance of the privacy calculus mentioned above, with no strong evidence that it accurately measures people s motivations for disclosing or withholding their data. The specific take, including the framing of the tension between privacy and surveillance has long been studied, as can be seen in Steven Nock s 1993 book [2], but as Sannon s article in 2022 shows [3], social and technological realities require our undertanding to be continuously kept up to date. The book is full with theoretical references and does a very good job of explaining the path followed by the author. It is, though, a heavy read, and, for people not coming from the social sciences tradition, leads to the occasional feeling of being lost. The conceptual and theoretical frameworks and presented studies are thorough and clear. The author is honest in explaining when the data points at some of his hypotheses being disproven, while others are confirmed. The aim of the book is for people digging deep into this topic. Personally, I have authored several works on different aspects of privacy (such as a book [4] and a magazine number [5]), but this book did get me thinking on many issues I had not previously considered. Looking for comparable works, I find Friedewald et al. s 2017 book [6] chapter organization to follow a similar thought line. My only complaint would be that, for the publication as part of its highly prestigious publisher, little attention has been paid to editorial aspects: sub-subsection depth is often excessive and unclear. Also, when publishing monographs based on doctoral works, it is customary to no longer refer to the work as a thesis and to soften some of the formal requirements such a work often has, with the aim of producing a more gentle and readable book; this book seems just like the mass-production of an (otherwise very interesting and well made) thesis work. References:

Gunnar Wolf: Humanities and big data in Ibero-America Theory, methodology and practical applications

This post is an unpublished review for Humanities and big data in Ibero-America Theory, methodology and practical applications
Digital humanities is a young though established field. It deals with different expressions in which digital data manipulation techniques can be applied and used to analyze subjects that are identified as belonging to the humanities. Although most often used to analyze different aspects of literature or social network analysis, it can also be applied to other humanistic disciplines or artistic expressions. Digital humanities employs many tools, but those categorized as big data are among the most frequently employed. This book samples different takes on digital humanities, with the particularity that it focuses on Ibero-American uses. It is worth noting that this book is the second in a series of four volumes, published or set to be published between 2022 and 2026. Being the output of a field survey, I perceive this book to be targeted towards fellow Digital Humanists people interested in applying computational methods to further understand and research topics in the humanities. It is not a technical book in the sense Computer Science people would recognize as such, but several of the presented works do benefit from understanding some technical concepts. The 12 articles (plus an introduction) that make up this book are organized in three parts: (1) Theoretical Framework presents the ideas and techniques of data science (that make up the tools for handling big data), and explores how data science can contribute to literary analysis, all while noting that many such techniques are usually frowned upon in Latin America as data science smells neoliberal ; (2) Methodological Issues looks at specific issues through the lens of how they can be applied to big data, with specific attention given to works in Spanish; and (3) Practical Applications analyzes specific Spanish works and communities based on big data techniques. Several chapters treat a recurring theme: the simultaneous resistance and appropriation of big data by humanists. For example, at least three of the chapters describe the tensions between humanism ( aesthesis ) and cold, number-oriented data analysis ( mathesis ). The analyzed works of Parts 2 and 3 are interesting and relatively easy to follow. Some inescapable ideological gleans from several word uses from the book s and series name, which refers to the Spanish-speaking regions as Ibero-America , often seen as Eurocentric, in contrast with the Latin America term much more widely used throughout the region. I will end with some notes about the specific versions of the book I reviewed. I read both an EPUB version and a print copy. The EPUB did not include links for easy navigation to footnotes, that is, the typographical superindexes are not hyperlinked to the location of the notes, so it is very impractical to try to follow them. The print version (unlike the EPUB) did not have an index, that is, the six pages before the introduction are missing from the print copy I received. For a book such as this one, not having an index hampers the ease of reading and referencing.

Russell Coker: Trying DeepSeek R1

I saw this document on running DeepSeek R1 [1] and decided to give it a go. I downloaded the llama.cpp source and compiled it and downloaded the 131G of data as described. Running it with the default options gave about 7 CPU cores in use. Changing the --threads parameter to 44 caused it to use 17 CPU cores (changing it to larger numbers like 80 made it drop to 2.5 cores). I used the --n-gpu-layers parameter with the value of 1 as I currently have a GPU with only 6G of RAM (AliExpress is delaying my delivery of a PCIe power adaptor for a better GPU). Running it like this makes the GPU take 12W more power than standby and using 5.5G of VRAM according to nvidia-smi so it is doing a small amount of work, but not much. The documentation refers to the DeepSeek R1 1.58bit model which I m using as having 61 layers so presumably less than 2% of the work is done on the GPU. Running like this it takes 2 hours of CPU time (just over 3 minutes of elapsed time at 17 cores) to give 8 words of output. I didn t let any tests run long enough to give complete output. The documentation claims that it will run on CPU with 20G of RAM. In my tests it takes between 161G and 195G of RAM to run depending on the number of threads. The documentation describes running on the CPU as very slow which presumably means 3 words per minute on a system with a pair of E5-2699A v4 CPUs and 256G of RAM. When I try to use more than 44 threads I get output like system_info: n_threads = 200 (n_threads_batch = 200) / 44 and it seems that I only have a few threads actually in use. Apparently there s some issue with having more threads than the 44 CPU cores in the system. I was expecting this to go badly and it met my expectations in that regard. But it was interesting to see exactly how it went badly. It seems that if I had a GPU with 24G of VRAM I d still have 54/61 layers running on the CPU so even the largest of home GPUs probably wouldn t make much difference. Maybe if I configured the server to have hyper-threading enabled and 88 HT cores then I could have 88 threads and about 34 CPU cores in use which might help. But even if I got the output speed from 3 to 6 words per minute that still wouldn t be very usable.

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