Search Results: "spa"

28 December 2025

Jonathan Dowland: Our study, 2025

We re currently thinking of renovating our study/home office. I ll likely write more about that project. Embarking on it reminded me that I d taken a photo of the state of it nearly a year ago and forgot to post it, so here it is.
Home workspace, January 2025 Home workspace, January 2025
When I took that pic last January, it had been three years since the last one, and the major difference was a reduction in clutter. I've added a lava lamp (charity shop find) and Rob Sheridan print. We got rid of the PO NG chair (originally bought for breast feeding) so we currently have no alternate seating besides the desk chair. As much as I love my vintage mahogany writing desk, our current thinking is it s likely to go. I m exploring whether we could fit in two smaller desks: one main one for the computer, and another workbench for play: the synthesiser, Amiga, crafting and 3d printing projects, etc.

Balasankar 'Balu' C: Granting Namespace-Specific Access in GKE Clusters

Heyo, In production Kubernetes environments, access control becomes critical when multiple services share the same cluster. I recently faced this exact scenario: a GKE cluster hosting multiple services across different namespaces, where a new team needed access to maintain and debug their service-but only their service. The requirement was straightforward yet specific: grant external users the ability to exec into pods, view logs, and forward ports, but restrict this access to a single namespace within a single GKE cluster. No access to other clusters in the Google Cloud project, and no access to other namespaces.

The Solution Achieving this granular access control requires combining Google Cloud IAM with Kubernetes RBAC (Role-Based Access Control). Here s how to implement it:

Step 1: Tag Your GKE Cluster First, apply a unique tag to your GKE cluster. This tag will serve as the identifier for IAM policies.

Step 2: Grant IAM Access via Tags Add an IAM policy binding that grants users access to resources with your specific tag. The Kubernetes Engine Viewer role (roles/container.viewer) provides sufficient base permissions without granting excessive access.

Step 3: Create a Kubernetes ClusterRole Define a ClusterRole that specifies the exact permissions needed:
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: custom-access-role
rules:
  - apiGroups: [""]
    resources: ["pods", "pods/exec", "pods/attach", "pods/portforward", "pods/log"]
    verbs: ["get", "list", "watch", "create"]
Note: While you could use a namespace-scoped Role, a ClusterRole offers better reusability if you need similar permissions for other namespaces later.

Step 4: Bind the Role to Users Create a RoleBinding to connect the role to specific users and namespaces:
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: custom-rolebinding
  namespace: my-namespace
subjects:
  - kind: User
    name: myuser@gmail.com
    apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: ClusterRole
  name: custom-access-role
  apiGroup: rbac.authorization.k8s.io
Apply both configurations using kubectl apply -f <filename>.

How It Works This approach creates a two-layer security model:
  • GCP IAM controls which clusters users can access using resource tags
  • Kubernetes RBAC controls what users can do within the cluster and limits their scope to specific namespaces
The result is a secure, maintainable solution that grants teams the access they need without compromising the security of other services in your cluster.

25 December 2025

Russ Allbery: Review: Machine

Review: Machine, by Elizabeth Bear
Series: White Space #2
Publisher: Saga Press
Copyright: October 2020
ISBN: 1-5344-0303-5
Format: Kindle
Pages: 485
Machine is a far-future space opera. It is a loose sequel to Ancestral Night, but you do not have to remember the first book to enjoy this book and they have only a couple of secondary characters in common. There are passing spoilers for Ancestral Night in the story, though, if you care. Dr. Brookllyn Jens is a rescue paramedic on Synarche Medical Vessel I Race To Seek the Living. That means she goes into dangerous situations to get you out of them, patches you up enough to not die, and brings you to doctors who can do the slower and more time-consuming work. She was previously a cop (well, Judiciary, which in this universe is mostly the same thing) and then found that medicine, and specifically the flagship Synarche hospital Core General, was the institution in all the universe that she believed in the most. As Machine opens, Jens is boarding the Big Rock Candy Mountain, a generation ship launched from Earth during the bad era before right-minding and joining the Synarche, back when it looked like humanity on Earth wouldn't survive. Big Rock Candy Mountain was discovered by accident in the wrong place, going faster than it was supposed to be going and not responding to hails. The Synarche ship that first discovered and docked with it is also mysteriously silent. It's the job of Jens and her colleagues to get on board, see if anyone is still alive, and rescue them if possible. What they find is a corpse and a disturbingly servile early AI guarding a whole lot of people frozen in primitive cryobeds, along with odd artificial machinery that seems to be controlled by the AI. Or possibly controlling the AI. Jens assumes her job will be complete once she gets the cryobeds and the AI back to Core General where both the humans and the AI can be treated by appropriate doctors. Jens is very wrong. Machine is Elizabeth Bear's version of a James White Sector General novel. If one reads this book without any prior knowledge, the way that I did, you may not realize this until the characters make it to Core General, but then it becomes obvious to anyone who has read White's series. Most of the standard Sector General elements are here: A vast space station with rings at different gravity levels and atmospheres, a baffling array of species, and the ability to load other people's personalities into your head to treat other species at the cost of discomfort and body dysmorphia. There's a gruff supervisor, a fragile alien doctor, and a whole lot of idealistic and well-meaning people working around complex interspecies differences. Sadly, Bear does drop White's entertainingly oversimplified species classification codes; this is the correct call for suspension of disbelief, but I kind of missed them. I thoroughly enjoy the idea of the Sector General series, so I was delighted by an updated version that drops the sexism and the doctor/nurse hierarchy and adds AIs, doctors for AIs, and a more complicated political structure. The hospital is even run by a sentient tree, which is an inspired choice. Bear, of course, doesn't settle for a relatively simple James White problem-solving plot. There are interlocking, layered problems here, medical and political, immediate and structural, that unwind in ways that I found satisfyingly twisty. As with Ancestral Night, Bear has some complex points to make about morality. I think that aspect of the story was a bit less convincing than Ancestral Night, in part because some of the characters use rather bizarre tactics (although I will grant they are the sort of bizarre tactics that I could imagine would be used by well-meaning people using who didn't think through all of the possible consequences). I enjoyed the ethical dilemmas here, but they didn't grab me the way that Ancestral Night did. The setting, though, is even better: An interspecies hospital was a brilliant setting when James White used it, and it continues to be a brilliant setting in Bear's hands. It's also worth mentioning that Jens has a chronic inflammatory disease and uses an exoskeleton for mobility, and (as much as I can judge while not being disabled myself) everything about this aspect of the character was excellent. It's rare to see characters with meaningful disabilities in far-future science fiction. When present at all, they're usually treated like Geordi's sight: something little different than the differential abilities of the various aliens, or even a backdoor advantage. Jens has a true, meaningful disability that she has to manage and that causes a constant cognitive drain, and the treatment of her assistive device is complex and nuanced in a way that I found thoughtful and satisfying. The one structural complaint that I will make is that Jens is an astonishingly talkative first-person protagonist, particularly for an Elizabeth Bear novel. This is still better than being inscrutable, but she is prone to such extended philosophical digressions or infodumps in the middle of a scene that I found myself wishing she'd get on with it already in a few places. This provides good characterization, in the sense that the reader certainly gets inside Jens's head, but I think Bear didn't get the balance quite right. That complaint aside, this was very fun, and I am certainly going to keep reading this series. Recommended, particularly if you like James White, or want to see why other people do.
The most important thing in the universe is not, it turns out, a single, objective truth. It's not a hospital whose ideals you love, that treats all comers. It's not a lover; it's not a job. It's not friends and teammates. It's not even a child that rarely writes me back, and to be honest I probably earned that. I could have been there for her. I didn't know how to be there for anybody, though. Not even for me. The most important thing in the universe, it turns out, is a complex of subjective and individual approximations. Of tries and fails. Of ideals, and things we do to try to get close to those ideals. It's who we are when nobody is looking.
Followed by The Folded Sky. Rating: 8 out of 10

23 December 2025

Daniel Kahn Gillmor: AI and Secure Messaging Don't Mix

AI and Secure Messaging Don't Mix Over on the ACLU's Free Future blog, I just published an article titled AI and Secure Messaging Don't Mix. The blogpost assumes for the sake of the argument that people might actually want to have an AI involved in their personal conversations, and explores why Meta's Private Processing doesn't offer the level of assurance that they want it to offer. In short, the promises of "confidential cloud computing" are built on shaky foundations, especially against adversaries as powerful as Meta themselves. If you really want AI in your chat, the baseline step for privacy preservation is to include it in your local compute base, not to use a network service! But these operators clearly don't value private communication as much as they value binding you to their services. But let's imagine some secure messenger that actually does put message confidentiality first -- and imagine they had integrated some sort of AI capability into the messenger. That at least bypasses the privacy questions around AI use. Would you really want to talk with your friends, as augmented by their local AI, though? Would you want an AI, even one running locally with perfect privacy, intervening in your social connections? What if it summarized your friend's messages to you in a way that led you to misunderstand (or ignore) an important point your friend had made? What if it encouraged you to make an edgy joke that comes across wrong? Or to say something that seriously upsets a friend? How would you respond? How would you even know that it had happened? My handle is dkg. More times than i can count, i've had someone address me in a chat as "dog" and then cringe and apologize and blame their spellchecker/autocorrect. I can laugh these off because the failure mode is so obvious and transparent -- and repeatable. (also, dogs are awesome, so i don't really mind!) But when our attention (and our responses!) are being shaped and molded by these plausibility engines, how will we even know that mistakes are being made? What if the plausibility engine you've hooked into your messenger embeds subtle (or unsubtle!) bias? Don't we owe it to each other to engage with actual human attention?

22 December 2025

Isoken Ibizugbe: Everybody Struggles

That s right: everyone struggles. You could be working on a project only to find a mountain of new things to learn, or your code might keep failing until you start to doubt yourself. I feel like that sometimes, wondering if I m good enough. But in those moments, I whisper to myself: You don t know it yet; once you do, it will get easy. While contributing to the Debian openQA project, there was so much to learn, from understanding what Debian actually is to learning the various installation methods and image types. I then had to tackle the installation and usage of openQA itself. I am incredibly grateful for the installation guideprovided by Roland Clobus and the documentation on writing code for openQA.

Overcoming Technical Hurdles Even with amazing guides, I hit major roadblocks. Initially, I was using Windows with VirtualBox, but openQA couldn t seem to run the tests properly. Despite my mentors (Roland and Phil) suggesting alternatives, the issues persisted. I actually installed openQA twice on VirtualBox and realized that if you miss even one small step in the installation, it becomes very difficult to move forward. Eventually, I took the big step and dual-booted my machine to Linux. Even then, the challenges didn t stop. My openQA Virtual Machine (VM) ran out of allocated space and froze, halting my testing. I reached out on the IRC chat and received the help I needed to get back on track.

My Research Line-up When I m struggling for information, I follow my go-to first step for research, followed by other alternatives:
  1. Google: This is my first stop. It helped me navigate the switch to a Linux OS and troubleshoot KVM connection issues for the VM. Whether it s an Ubuntu forum or a technical blog, I skim through until I find what can help.
  2. The Upstream Documentation: If Google doesn t have the answer, I go straight to the official openQA documentation. This is a goldmine. It explains functions, how to use them, and lists usable test variables.
  3. The Debian openQA UI: While working on the apps_startstop tests, I look at previous similar tests on openqa.debian.net/tests. I checked the Settings tab to see exactly what variables were used and how the test was configured.
  1. Salsa (Debian s GitLab): I reference the Salsa Debian openQA README and the developer guides sometimes; Getting started, Developer docs on how to write tests
I also had to learn the basics of the Perl programming language during the four-week contribution stage. While we don t need to be Perl experts, I found it essential to understand the logic so I can explain my work to others. I ve spent a lot of time studying the codebase, which is time-consuming but incredibly valuable. For example, my apps_startstop test command originally used a long list of applications via ENTRYPOINT. I began to wonder if there was a more efficient way. With Roland s guidance, I explored the main.pm file. This helped me understand how the apps_startstop function works and how it calls variables. I also noticed there are utility functions that are called in tests. I also check them and try to understand their function, so I know if I need them or not. I know I still have a lot to learn, and yes, the doubt still creeps in sometimes. But I am encouraged by the support of my mentors and the fact that they believe in my ability to contribute to this project.
If you re struggling too, just remember: you don t know it yet; once you do, it will get easy.

Emmanuel Kasper: Configuring a mail transfer agent to interact with the Debian bug tracker

Email interface of the Debian bug tracker The main interface of the Debian bug tracker, at http://bugs.debian.org, is e-mail, and modifications are made to existing bugs by sending an email to an address like 873518@bugs.Debian.org. The web interface allows to browse bugs, but any addition to the bug itself will require an email client. This sounds a bit weird in 2025, as http REST clients with Oauth access tokens for command line tools interacting with online resources are today the norm. However we should remember the Debian project goes back to 1993 and the bug tracker software debugs, was released in 1994. REST itself was first introduced in 2000, six years later. In any case, using an email client to create or modify bug reports is not a bad idea per se:
  • the internet mail protocol, SMTP, is a well known and standardized protocol defined in an IETF RFC.
  • no need for account creation and authentication, you just need an email address to interact. There is a risk of spam, but in my experience this has been very low. When authentication is needed, Debian Developpers sign their work with their private GPG key.
  • you can use the bug tracker using the interface of your choice: webmail, graphical mail clients like Thunderbird or Evolution, text clients like Mutt or Pine, or command line tools like bts.
A system wide minimal Mail Transfer Agent to send mail We can configure bts as a SMTP client, with username and password. In SMTP client mode, we would need to enter the SMTP settings from our mail service provider. The other option is to configure a Mail Transfer Agent (MTA) which provides a system wide sendmail interface, that all command line and automation tools can use send email. For instance reportbug and git send-email are able to use the sendmail interface. Why a sendmail interface ? Because sendmail used to be the default MTA of Unix back in the days, thus many programs sending mails expect something which looks like sendmail locally. A popular, maintained and packaged minimal MTA is msmtp, we are going to use it. msmtp installation and configuration Installation is just an apt away:
# apt install msmtp msmtp-mta
# msmtp --version
msmtp version 1.8.23
You can follow this blog post to configure msmtp, including saving your mail account credentials in the Gnome keyring. Once installed, you can verify that msmtp-mta created a sendmail symlink.
$ ls -l /usr/sbin/sendmail 
lrwxrwxrwx 1 root root 12 16 avril  2025 /usr/sbin/sendmail -&gt; ../bin/msmtp
bts, git-send-email and reportbug will pipe their output to /usr/sbin/sendmail and msmtp will send the email in the background. Testing with with a simple mail client Debian comes out of the box with a primitive mail client, bsd-mailx that you can use to test your MTA set up. If you have configured msmtp correctly you send an email to yourself using
$ echo "hello world"   mail -s "my mail subject" user@domain.org
Now you can open bugs for Debian with reportbug, tag them with bts and send git formated patches from the command line with git send-email.

C.J. Collier: I m learning about perlguts today.


im-learning-about-perlguts-today.png


## 0.23	2025-12-20
commit be15aa25dea40aea66a8534143fb81b29d2e6c08
Author: C.J. Collier 
Date:   Sat Dec 20 22:40:44 2025 +0000
    Fixes C-level test infrastructure and adds more test cases for upb_to_sv conversions.
    
    - **Makefile.PL:**
        - Allow  extra_src  in  c_test_config.json  to be an array.
        - Add ASan flags to CCFLAGS and LDDLFLAGS for better debugging.
        - Corrected echo newlines in  test_c  target.
    - **c_test_config.json:**
        - Added missing type test files to  deps  and  extra_src  for  convert/sv_to_upb  and  convert/upb_to_sv  test runners.
    - **t/c/convert/upb_to_sv.c:**
        - Fixed a double free of  test_pool .
        - Added missing includes for type test headers.
        - Updated test plan counts.
    - **t/c/convert/sv_to_upb.c:**
        - Added missing includes for type test headers.
        - Updated test plan counts.
        - Corrected Perl interpreter initialization.
    - **t/c/convert/types/**:
        - Added missing  test_util.h  include in new type test headers.
        - Completed the set of  upb_to_sv  test cases for all scalar types by adding optional and repeated tests for  sfixed32 ,  sfixed64 ,  sint32 , and  sint64 , and adding repeated tests to the remaining scalar type files.
    - **Documentation:**
        - Updated  01-xs-testing.md  with more debugging tips, including ASan usage and checking for double frees and typos.
        - Updated  xs_learnings.md  with details from the recent segfault.
        - Updated  llm-plan-execution-instructions.md  to emphasize debugging steps.
## 0.22	2025-12-19
commit 2c171d9a5027e0150eae629729c9104e7f6b9d2b
Author: C.J. Collier 
Date:   Fri Dec 19 23:41:02 2025 +0000
    feat(perl,testing): Initialize C test framework and build system
    
    This commit sets up the foundation for the C-level tests and the build system for the Perl Protobuf module:
    
    1.  **Makefile.PL Enhancements:**
        *   Integrates  Devel::PPPort  to generate  ppport.h  for better portability.
        *   Object files now retain their path structure (e.g.,  xs/convert/sv_to_upb.o ) instead of being flattened, improving build clarity.
        *   The  MY::postamble  is significantly revamped to dynamically generate build rules for all C tests located in  t/c/  based on the  t/c/c_test_config.json  file.
        *   C tests are linked against  libprotobuf_common.a  and use  ExtUtils::Embed  flags.
        *   Added  JSON::MaybeXS  to  PREREQ_PM .
        *   The  test  target now also depends on the  test_c  target.
    
    2.  **C Test Infrastructure ( t/c/ ):
        *   Introduced  t/c/c_test_config.json  to configure individual C test builds, specifying dependencies and extra source files.
        *   Created  t/c/convert/test_util.c  and  .h  for shared test functions like loading descriptors.
        *   Initial  t/c/convert/upb_to_sv.c  and  t/c/convert/sv_to_upb.c  test runners.
        *   Basic  t/c/integration/030_protobuf_coro.c  for Coro safety testing on core utils using  libcoro .
        *   Basic  t/c/integration/035_croak_test.c  for testing exception handling.
        *   Basic  t/c/integration/050_convert.c  for integration testing conversions.
    
    3.  **Test Proto:** Updated  t/data/test.proto  with more field types for conversion testing and regenerated  test_descriptor.bin .
    
    4.  **XS Test Harness ( t/c/upb-perl-test.h ):** Added  like_n  macro for length-aware regex matching.
    
    5.  **Documentation:** Updated architecture and plan documents to reflect the C test structure.
    6.  **ERRSV Testing:** Note that the C tests ( t/c/ ) will primarily check *if* a  croak  occurs (i.e., that the exception path is taken), but will not assert on the string content of  ERRSV . Reliably testing  $@  content requires the full Perl test environment with  Test::More , which will be done in the  .t  files when testing the Perl API.
    
    This provides a solid base for developing and testing the XS and C components of the module.
## 0.21	2025-12-18
commit a8b6b6100b2cf29c6df1358adddb291537d979bc
Author: C.J. Collier 
Date:   Thu Dec 18 04:20:47 2025 +0000
    test(C): Add integration tests for Milestone 2 components
    
    - Created t/c/integration/030_protobuf.c to test interactions
      between obj_cache, arena, and utils.
    - Added this test to t/c/c_test_config.json.
    - Verified that all C tests for Milestones 2 and 3 pass,
      including the libcoro-based stress test.
## 0.20	2025-12-18
commit 0fcad68680b1f700a83972a7c1c48bf3a6958695
Author: C.J. Collier 
Date:   Thu Dec 18 04:14:04 2025 +0000
    docs(plan): Add guideline review reminders to milestones
    
    - Added a "[ ] REFRESH: Review all documents in @perl/doc/guidelines/**"
      checklist item to the start of each component implementation
      milestone (C and Perl layers).
    - This excludes Integration Test milestones.
## 0.19	2025-12-18
commit 987126c4b09fcdf06967a98fa3adb63d7de59a34
Author: C.J. Collier 
Date:   Thu Dec 18 04:05:53 2025 +0000
    docs(plan): Add C-level and Perl-level Coro tests to milestones
    
    - Added checklist items for  libcoro -based C tests
      (e.g.,  t/c/integration/050_convert_coro.c ) to all C layer
      integration milestones (050 through 220).
    - Updated  030_Integration_Protobuf.md  to standardise checklist
      items for the existing  030_protobuf_coro.c  test.
    - Removed the single  xt/author/coro-safe.t  item from
       010_Build.md .
    - Added checklist items for Perl-level  Coro  tests
      (e.g.,  xt/coro/240_arena.t ) to each Perl layer
      integration milestone (240 through 400).
    - Created  perl/t/c/c_test_config.json  to manage C test
      configurations externally.
    - Updated  perl/doc/architecture/testing/01-xs-testing.md  to describe
      both C-level  libcoro  and Perl-level  Coro  testing strategies.
## 0.18	2025-12-18
commit 6095a5a610401a6035a81429d0ccb9884d53687b
Author: C.J. Collier 
Date:   Thu Dec 18 02:34:31 2025 +0000
    added coro testing to c layer milestones
## 0.17	2025-12-18
commit cc0aae78b1f7f675fc8a1e99aa876c0764ea1cce
Author: C.J. Collier 
Date:   Thu Dec 18 02:26:59 2025 +0000
    docs(plan): Refine test coverage checklist items for SMARTness
    
    - Updated the "Tests provide full coverage" checklist items in
      C layer plan files (020, 040, 060, 080, 100, 120, 140, 160, 180, 200)
      to explicitly mention testing all public functions in the
      corresponding header files.
    - Expanded placeholder checklists in 140, 160, 180, 200.
    - Updated the "Tests provide full coverage" and "Add coverage checks"
      checklist items in Perl layer plan files (230, 250, 270, 290, 310, 330,
      350, 370, 390) to be more specific about the scope of testing
      and the use of  Test::TestCoverage .
    - Expanded Well-Known Types milestone (350) to detail each type.
## 0.16	2025-12-18
commit e4b601f14e3817a17b0f4a38698d981dd4cb2818
Author: C.J. Collier 
Date:   Thu Dec 18 02:07:35 2025 +0000
    docs(plan): Full refactoring of C and Perl plan files
    
    - Split both ProtobufPlan-C.md and ProtobufPlan-Perl.md into
      per-milestone files under the  perl/doc/plan/  directory.
    - Introduced Integration Test milestones after each component
      milestone in both C and Perl plans.
    - Numbered milestone files sequentially (e.g., 010_Build.md,
      230_Perl_Arena.md).
    - Updated main ProtobufPlan-C.md and ProtobufPlan-Perl.md to
      act as Tables of Contents.
    - Ensured consistent naming for integration test files
      (e.g.,  t/c/integration/030_protobuf.c ,  t/integration/260_descriptor_pool.t ).
    - Added architecture review steps to the end of all milestones.
    - Moved Coro safety test to C layer Milestone 1.
    - Updated Makefile.PL to support new test structure and added Coro.
    - Moved and split t/c/convert.c into t/c/convert/*.c.
    - Moved other t/c/*.c tests into t/c/protobuf/*.c.
    - Deleted old t/c/convert.c.
## 0.15	2025-12-17
commit 649cbacf03abb5e7293e3038bb451c0406e9d0ce
Author: C.J. Collier 
Date:   Wed Dec 17 23:51:22 2025 +0000
    docs(plan): Refactor and reset ProtobufPlan.md
    
    - Split the plan into ProtobufPlan-C.md and ProtobufPlan-Perl.md.
    - Reorganized milestones to clearly separate C layer and Perl layer development.
    - Added more granular checkboxes for each component:
      - C Layer: Create test, Test coverage, Implement, Tests pass.
      - Perl Layer: Create test, Test coverage, Implement Module/XS, Tests pass, C-Layer adjustments.
    - Reset all checkboxes to  [ ]  to prepare for a full audit.
    - Updated status in architecture/api and architecture/core documents to "Not Started".
    
    feat(obj_cache): Add unregister function and enhance tests
    
    - Added  protobuf_unregister_object  to  xs/protobuf/obj_cache.c .
    - Updated  xs/protobuf/obj_cache.h  with the new function declaration.
    - Expanded tests in  t/c/protobuf_obj_cache.c  to cover unregistering,
      overwriting keys, and unregistering non-existent keys.
    - Corrected the test plan count in  t/c/protobuf_obj_cache.c  to 17.
## 0.14	2025-12-17
commit 40b6ad14ca32cf16958d490bb575962f88d868a1
Author: C.J. Collier 
Date:   Wed Dec 17 23:18:27 2025 +0000
    feat(arena): Complete C layer for Arena wrapper
    
    This commit finalizes the C-level implementation for the Protobuf::Arena wrapper.
    
    - Adds  PerlUpb_Arena_Destroy  for proper cleanup from Perl's DEMOLISH.
    - Enhances error checking in  PerlUpb_Arena_Get .
    - Expands C-level tests in  t/c/protobuf_arena.c  to cover memory allocation
      on the arena and lifecycle through  PerlUpb_Arena_Destroy .
    - Corrects embedded Perl initialization in the C test.
    
    docs(plan): Refactor ProtobufPlan.md
    
    - Restructures the development plan to clearly separate "C Layer" and
      "Perl Layer" tasks within each milestone.
    - This aligns the plan with the "C-First Implementation Strategy" and improves progress tracking.
## 0.13	2025-12-17
commit c1e566c25f62d0ae9f195a6df43b895682652c71
Author: C.J. Collier 
Date:   Wed Dec 17 22:00:40 2025 +0000
    refactor(perl): Rename C tests and enhance Makefile.PL
    
    - Renamed test files in  t/c/  to better match the  xs  module structure:
        -  01-cache.c  ->  protobuf_obj_cache.c 
        -  02-arena.c  ->  protobuf_arena.c 
        -  03-utils.c  ->  protobuf_utils.c 
        -  04-convert.c  ->  convert.c 
        -  load_test.c  ->  upb_descriptor_load.c 
    - Updated  perl/Makefile.PL  to reflect the new test names in  MY::postamble 's  $c_test_config .
    - Refactored the  $c_test_config  generation in  Makefile.PL  to reduce repetition by using a default flags hash and common dependencies array.
    - Added a  fail()  macro to  perl/t/c/upb-perl-test.h  for consistency.
    - Modified  t/c/upb_descriptor_load.c  to use the  t/c/upb-perl-test.h  macros, making its output consistent with other C tests.
    - Added a skeleton for  t/c/convert.c  to test the conversion functions.
    - Updated documentation in  ProtobufPlan.md  and  architecture/testing/01-xs-testing.md  to reflect new test names.
## 0.12	2025-12-17
commit d8cb5dd415c6c129e71cd452f78e29de398a82c9
Author: C.J. Collier 
Date:   Wed Dec 17 20:47:38 2025 +0000
    feat(perl): Refactor XS code into subdirectories
    
    This commit reorganizes the C code in the  perl/xs/  directory into subdirectories, mirroring the structure of the Python UPB extension. This enhances modularity and maintainability.
    
    - Created subdirectories for each major component:  convert ,  descriptor ,  descriptor_containers ,  descriptor_pool ,  extension_dict ,  map ,  message ,  protobuf ,  repeated , and  unknown_fields .
    - Created skeleton  .h  and  .c  files within each subdirectory to house the component-specific logic.
    - Updated top-level component headers (e.g.,  perl/xs/descriptor.h ) to include the new sub-headers.
    - Updated top-level component source files (e.g.,  perl/xs/descriptor.c ) to include their main header and added stub initialization functions (e.g.,  PerlUpb_InitDescriptor ).
    - Moved code from the original  perl/xs/protobuf.c  to new files in  perl/xs/protobuf/  (arena, obj_cache, utils).
    - Moved code from the original  perl/xs/convert.c  to new files in  perl/xs/convert/  (upb_to_sv, sv_to_upb).
    - Updated  perl/Makefile.PL  to use a glob ( xs/*/*.c ) to find the new C source files in the subdirectories.
    - Added  perl/doc/architecture/core/07-xs-file-organization.md  to document the new structure.
    - Updated  perl/doc/ProtobufPlan.md  and other architecture documents to reference the new organization.
    - Corrected self-referential includes in the newly created .c files.
    
    This restructuring provides a solid foundation for further development and makes it easier to port logic from the Python implementation.
## 0.11	2025-12-17
commit cdedcd13ded4511b0464f5d3bdd72ce6d34e73fc
Author: C.J. Collier 
Date:   Wed Dec 17 19:57:52 2025 +0000
    feat(perl): Implement C-first testing and core XS infrastructure
    
    This commit introduces a significant refactoring of the Perl XS extension, adopting a C-first development approach to ensure a robust foundation.
    
    Key changes include:
    
    -   **C-Level Testing Framework:** Established a C-level testing system in  t/c/  with a dedicated Makefile, using an embedded Perl interpreter. Initial tests cover the object cache ( 01-cache.c ), arena wrapper ( 02-arena.c ), and utility functions ( 03-utils.c ).
    -   **Core XS Infrastructure:**
        -   Implemented a global object cache ( xs/protobuf.c ) to manage Perl wrappers for UPB objects, using weak references.
        -   Created an  upb_Arena  wrapper ( xs/protobuf.c ).
        -   Consolidated common XS helper functions into  xs/protobuf.h  and  xs/protobuf.c .
    -   **Makefile.PL Enhancements:** Updated to support building and linking C tests, incorporating flags from  ExtUtils::Embed , and handling both  .c  and  .cc  source files.
    -   **XS File Reorganization:** Restructured XS files to mirror the Python UPB extension's layout (e.g.,  message.c ,  descriptor.c ). Removed older, monolithic  .xs  files.
    -   **Typemap Expansion:** Added extensive typemap entries in  perl/typemap  to handle conversions between Perl objects and various  const upb_*Def*  pointers.
    -   **Descriptor Tests:** Added a new test suite  t/02-descriptor.t  to validate descriptor loading and accessor methods.
    -   **Documentation:** Updated development plans and guidelines ( ProtobufPlan.md ,  xs_learnings.md , etc.) to reflect the C-first strategy, new testing methods, and lessons learned.
    -   **Build Cleanup:** Removed  ppport.h  from  .gitignore  as it's no longer used, due to  -DPERL_NO_PPPORT  being set in  Makefile.PL .
    
    This C-first approach allows for more isolated and reliable testing of the core logic interacting with the UPB library before higher-level Perl APIs are built upon it.
## 0.10	2025-12-17
commit 1ef20ade24603573905cb0376670945f1ab5d829
Author: C.J. Collier 
Date:   Wed Dec 17 07:08:29 2025 +0000
    feat(perl): Implement C-level tests and core XS utils
    
    This commit introduces a C-level testing framework for the XS layer and implements key components:
    
    1.  **C-Level Tests ( t/c/ )**:
        *   Added  t/c/Makefile  to build standalone C tests.
        *   Created  t/c/upb-perl-test.h  with macros for TAP-compliant C tests ( plan ,  ok ,  is ,  is_string ,  diag ).
        *   Implemented  t/c/01-cache.c  to test the object cache.
        *   Implemented  t/c/02-arena.c  to test  Protobuf::Arena  wrappers.
        *   Implemented  t/c/03-utils.c  to test string utility functions.
        *   Corrected include paths and diagnostic messages in C tests.
    
    2.  **XS Object Cache ( xs/protobuf.c )**:
        *   Switched to using stringified pointers ( %p ) as hash keys for stability.
        *   Fixed a critical double-free bug in  PerlUpb_ObjCache_Delete  by removing an extra  SvREFCNT_dec  on the lookup key.
    
    3.  **XS Arena Wrapper ( xs/protobuf.c )**:
        *   Corrected  PerlUpb_Arena_New  to use  newSVrv  and  PTR2IV  for opaque object wrapping.
        *   Corrected  PerlUpb_Arena_Get  to safely unwrap the arena pointer.
    
    4.  **Makefile.PL ( perl/Makefile.PL )**:
        *   Added  -Ixs  to  INC  to allow C tests to find  t/c/upb-perl-test.h  and  xs/protobuf.h .
        *   Added  LIBS  to link  libprotobuf_common.a  into the main  Protobuf.so .
        *   Added C test targets  01-cache ,  02-arena ,  03-utils  to the test config in  MY::postamble .
    
    5.  **Protobuf.pm ( perl/lib/Protobuf.pm )**:
        *   Added  use XSLoader;  to load the compiled XS code.
    
    6.  **New files  xs/util.h **:
        *   Added initial type conversion function.
    
    These changes establish a foundation for testing the C-level interface with UPB and fix crucial bugs in the object cache implementation.
## 0.09	2025-12-17
commit 07d61652b032b32790ca2d3848243f9d75ea98f4
Author: C.J. Collier 
Date:   Wed Dec 17 04:53:34 2025 +0000
    feat(perl): Build system and C cache test for Perl XS
    
    This commit introduces the foundational pieces for the Perl XS implementation, focusing on the build system and a C-level test for the object cache.
    
    -   **Makefile.PL:**
        -   Refactored C test compilation rules in  MY::postamble  to use a hash ( $c_test_config ) for better organization and test-specific flags.
        -   Integrated  ExtUtils::Embed  to provide necessary compiler and linker flags for embedding the Perl interpreter, specifically for the  t/c/01-cache.c  test.
        -   Correctly constructs the path to the versioned Perl library ( libperl.so.X.Y.Z ) using  $Config archlib  and  $Config libperl  to ensure portability.
        -   Removed  VERSION_FROM  and  ABSTRACT_FROM  to avoid dependency on  .pm  files for now.
    
    -   **C Cache Test (t/c/01-cache.c):**
        -   Added a C test to exercise the object cache functions implemented in  xs/protobuf.c .
        -   Includes tests for adding, getting, deleting, and weak reference behavior.
    
    -   **XS Cache Implementation (xs/protobuf.c, xs/protobuf.h):**
        -   Implemented  PerlUpb_ObjCache_Init ,  PerlUpb_ObjCache_Add ,  PerlUpb_ObjCache_Get ,  PerlUpb_ObjCache_Delete , and  PerlUpb_ObjCache_Destroy .
        -   Uses a Perl hash ( HV* ) for the cache.
        -   Keys are string representations of the C pointers, created using  snprintf  with  "%llx" .
        -   Values are weak references ( sv_rvweaken ) to the Perl objects ( SV* ).
        -    PerlUpb_ObjCache_Get  now correctly returns an incremented reference to the original SV, not a copy.
        -    PerlUpb_ObjCache_Destroy  now clears the hash before decrementing its refcount.
    
    -   **t/c/upb-perl-test.h:**
        -   Updated  is_sv  to perform direct pointer comparison ( got == expected ).
    
    -   **Minor:** Added  util.h  (currently empty), updated  typemap .
    
    These changes establish a working C-level test environment for the XS components.
## 0.08	2025-12-17
commit d131fd22ea3ed8158acb9b0b1fe6efd856dc380e
Author: C.J. Collier 
Date:   Wed Dec 17 02:57:48 2025 +0000
    feat(perl): Update docs and core XS files
    
    - Explicitly add TDD cycle to ProtobufPlan.md.
    - Clarify mirroring of Python implementation in upb-interfacing.md for both C and Perl layers.
    - Branch and adapt python/protobuf.h and python/protobuf.c to perl/xs/protobuf.h and perl/xs/protobuf.c, including the object cache implementation. Removed old cache.* files.
    - Create initial C test for the object cache in t/c/01-cache.c.
## 0.07	2025-12-17
commit 56fd6862732c423736a2f9a9fb1a2816fc59e9b0
Author: C.J. Collier 
Date:   Wed Dec 17 01:09:18 2025 +0000
    feat(perl): Align Perl UPB architecture docs with Python
    
    Updates the Perl Protobuf architecture documents to more closely align with the design and implementation strategies used in the Python UPB extension.
    
    Key changes:
    
    -   **Object Caching:** Mandates a global, per-interpreter cache using weak references for all UPB-derived objects, mirroring Python's  PyUpb_ObjCache .
    -   **Descriptor Containers:** Introduces a new document outlining the plan to use generic XS container types (Sequence, ByNameMap, ByNumberMap) with vtables to handle collections of descriptors, similar to Python's  descriptor_containers.c .
    -   **Testing:** Adds a note to the testing strategy to port relevant test cases from the Python implementation to ensure feature parity.
## 0.06	2025-12-17
commit 6009ce6ab64eccce5c48729128e5adf3ef98e9ae
Author: C.J. Collier 
Date:   Wed Dec 17 00:28:20 2025 +0000
    feat(perl): Implement object caching and fix build
    
    This commit introduces several key improvements to the Perl XS build system and core functionality:
    
    1.  **Object Caching:**
        *   Introduces  xs/protobuf.c  and  xs/protobuf.h  to implement a caching mechanism ( protobuf_c_to_perl_obj ) for wrapping UPB C pointers into Perl objects. This uses a hash and weak references to ensure object identity and prevent memory leaks.
        *   Updates the  typemap  to use  protobuf_c_to_perl_obj  for  upb_MessageDef *  output, ensuring descriptor objects are cached.
        *   Corrected  sv_weaken  to the correct  sv_rvweaken  function.
    
    2.  **Makefile.PL Enhancements:**
        *   Switched to using the Bazel-generated UPB descriptor sources from  bazel-bin/src/google/protobuf/_virtual_imports/descriptor_proto/google/protobuf/ .
        *   Updated  INC  paths to correctly locate the generated headers.
        *   Refactored  MY::dynamic_lib  to ensure the static library  libprotobuf_common.a  is correctly linked into each generated  .so  module, resolving undefined symbol errors.
        *   Overrode  MY::test  to use  prove -b -j$(nproc) t/*.t xt/*.t  for running tests.
        *   Cleaned up  LIBS  and  LDDLFLAGS  usage.
    
    3.  **Documentation:**
        *   Updated  ProtobufPlan.md  to reflect the current status and design decisions.
        *   Reorganized architecture documents into subdirectories.
        *   Added  object-caching.md  and  c-perl-interface.md .
        *   Updated  llm-guidance.md  with notes on  upb/upb.h  and  sv_rvweaken .
    
    4.  **Testing:**
        *   Fixed  xt/03-moo_immutable.t  to skip tests if no Moo modules are found.
    
    This resolves the build issues and makes the core test suite pass.
## 0.05	2025-12-16
commit 177d2f3b2608b9d9c415994e076a77d8560423b8
Author: C.J. Collier 
Date:   Tue Dec 16 19:51:36 2025 +0000
    Refactor: Rename namespace to Protobuf, build system and doc updates
    
    This commit refactors the primary namespace from  ProtoBuf  to  Protobuf 
    to align with the style guide. This involves renaming files, directories,
    and updating package names within all Perl and XS files.
    
    **Namespace Changes:**
    
    *   Renamed  perl/lib/ProtoBuf  to  perl/lib/Protobuf .
    *   Moved and updated  ProtoBuf.pm  to  Protobuf.pm .
    *   Moved and updated  ProtoBuf::Descriptor  to  Protobuf::Descriptor  (.pm & .xs).
    *   Removed other  ProtoBuf::*  stubs (Arena, DescriptorPool, Message).
    *   Updated  MODULE  and  PACKAGE  in  Descriptor.xs .
    *   Updated  NAME ,  *_FROM  in  perl/Makefile.PL .
    *   Replaced  ProtoBuf  with  Protobuf  throughout  perl/typemap .
    *   Updated namespaces in test files  t/01-load-protobuf-descriptor.t  and  t/02-descriptor.t .
    *   Updated namespaces in all documentation files under  perl/doc/ .
    *   Updated paths in  perl/.gitignore .
    
    **Build System Enhancements (Makefile.PL):**
    
    *   Included  xs/*.c  files in the common object files list.
    *   Added  -I.  to the  INC  paths.
    *   Switched from  MYEXTLIB  to  LIBS => ['-L$(CURDIR) -lprotobuf_common']  for linking.
    *   Removed custom keys passed to  WriteMakefile  for postamble.
    *    MY::postamble  now sources variables directly from the main script scope.
    *   Added  all :: $ common_lib  dependency in  MY::postamble .
    *   Added  t/c/load_test.c  compilation rule in  MY::postamble .
    *   Updated  clean  target to include  blib .
    *   Added more modules to  TEST_REQUIRES .
    *   Removed the explicit  PM  and  XS  keys from  WriteMakefile , relying on  XSMULTI => 1 .
    
    **New Files:**
    
    *    perl/lib/Protobuf.pm 
    *    perl/lib/Protobuf/Descriptor.pm 
    *    perl/lib/Protobuf/Descriptor.xs 
    *    perl/t/01-load-protobuf-descriptor.t 
    *    perl/t/02-descriptor.t 
    *    perl/t/c/load_test.c : Standalone C test for UPB.
    *    perl/xs/types.c  &  perl/xs/types.h : For Perl/C type conversions.
    *    perl/doc/architecture/upb-interfacing.md 
    *    perl/xt/03-moo_immutable.t : Test for Moo immutability.
    
    **Deletions:**
    
    *   Old test files:  t/00_load.t ,  t/01_basic.t ,  t/02_serialize.t ,  t/03_message.t ,  t/04_descriptor_pool.t ,  t/05_arena.t ,  t/05_message.t .
    *   Removed  lib/ProtoBuf.xs  as it's not needed with  XSMULTI .
    
    **Other:**
    
    *   Updated  test_descriptor.bin  (binary change).
    *   Significant content updates to markdown documentation files in  perl/doc/architecture  and  perl/doc/internal  reflecting the new architecture and learnings.
## 0.04	2025-12-14
commit 92de5d482c8deb9af228f4b5ce31715d3664d6ee
Author: C.J. Collier 
Date:   Sun Dec 14 21:28:19 2025 +0000
    feat(perl): Implement Message object creation and fix lifecycles
    
    This commit introduces the basic structure for  ProtoBuf::Message  object
    creation, linking it with  ProtoBuf::Descriptor  and  ProtoBuf::DescriptorPool ,
    and crucially resolves a SEGV by fixing object lifecycle management.
    
    Key Changes:
    
    1.  ** ProtoBuf::Descriptor :** Added  _pool  attribute to hold a strong
        reference to the parent  ProtoBuf::DescriptorPool . This is essential to
        prevent the pool and its C  upb_DefPool  from being garbage collected
        while a descriptor is still in use.
    
    2.  ** ProtoBuf::DescriptorPool :**
        *    find_message_by_name : Now passes the  $self  (the pool object) to the
             ProtoBuf::Descriptor  constructor to establish the lifecycle link.
        *   XSUB  pb_dp_find_message_by_name : Updated to accept the pool  SV*  and
            store it in the descriptor's  _pool  attribute.
        *   XSUB  _load_serialized_descriptor_set : Renamed to avoid clashing with the
            Perl method name. The Perl wrapper now correctly calls this internal XSUB.
        *    DEMOLISH : Made safer by checking for attribute existence.
    
    3.  ** ProtoBuf::Message :**
        *   Implemented using Moo with lazy builders for  _upb_arena  and
             _upb_message .
        *    _descriptor  is a required argument to  new() .
        *   XS functions added for creating the arena ( pb_msg_create_arena ) and
            the  upb_Message  ( pb_msg_create_upb_message ).
        *    pb_msg_create_upb_message  now extracts the  upb_MessageDef*  from the
            descriptor and uses  upb_MessageDef_MiniTable()  to get the minitable
            for  upb_Message_New() .
        *    DEMOLISH : Added to free the message's arena.
    
    4.  ** Makefile.PL :**
        *   Added  -g  to  CCFLAGS  for debugging symbols.
        *   Added Perl CORE include path to  MY::postamble 's  base_flags .
    
    5.  **Tests:**
        *    t/04_descriptor_pool.t : Updated to check the structure of the
            returned  ProtoBuf::Descriptor .
        *    t/05_message.t : Now uses a descriptor obtained from a real pool to
            test  ProtoBuf::Message->new() .
    
    6.  **Documentation:**
        *   Updated  ProtobufPlan.md  to reflect progress.
        *   Updated several files in  doc/architecture/  to match the current
            implementation details, especially regarding arena management and object
            lifecycles.
        *   Added  doc/internal/development_cycle.md  and  doc/internal/xs_learnings.md .
    
    With these changes, the SEGV is resolved, and message objects can be successfully
    created from descriptors.
## 0.03	2025-12-14
commit 6537ad23e93680c2385e1b571d84ed8dbe2f68e8
Author: C.J. Collier 
Date:   Sun Dec 14 20:23:41 2025 +0000
    Refactor(perl): Object-Oriented DescriptorPool with Moo
    
    This commit refactors the  ProtoBuf::DescriptorPool  to be fully object-oriented using Moo, and resolves several issues related to XS, typemaps, and test data.
    
    Key Changes:
    
    1.  **Moo Object:**  ProtoBuf::DescriptorPool.pm  now uses  Moo  to define the class. The  upb_DefPool  pointer is stored as a lazy attribute  _upb_defpool .
    2.  **XS Lifecycle:**  DescriptorPool.xs  now has  pb_dp_create_pool  called by the Moo builder and  pb_dp_free_pool  called from  DEMOLISH  to manage the  upb_DefPool  lifecycle per object.
    3.  **Typemap:** The  perl/typemap  file has been significantly updated to handle the conversion between the  ProtoBuf::DescriptorPool  Perl object and the  upb_DefPool *  C pointer. This includes:
        *   Mapping  upb_DefPool *  to  T_PTR .
        *   An  INPUT  section for  ProtoBuf::DescriptorPool  to extract the pointer from the object's hash, triggering the lazy builder if needed via  call_method .
        *   An  OUTPUT  section for  upb_DefPool *  to convert the pointer back to a Perl integer, used by the builder.
    4.  **Method Renaming:**  add_file_descriptor_set_binary  is now  load_serialized_descriptor_set .
    5.  **Test Data:**
        *   Added  perl/t/data/test.proto  with a sample message and enum.
        *   Generated  perl/t/data/test_descriptor.bin  using  protoc .
        *   Removed  t/data/  from  .gitignore  to ensure test data is versioned.
    6.  **Test Update:**  t/04_descriptor_pool.t  is updated to use the new OO interface, load the generated descriptor set, and check for message definitions.
    7.  **Build Fixes:**
        *   Corrected  #include  paths in  DescriptorPool.xs  to be relative to the  upb/  directory (e.g.,  upb/wire/decode.h ).
        *   Added  -I../upb  to  CCFLAGS  in  Makefile.PL .
        *   Reordered  INC  paths in  Makefile.PL  to prioritize local headers.
    
    **Note:** While tests now pass in some environments, a SEGV issue persists in  make test  runs, indicating a potential memory or lifecycle issue within the XS layer that needs further investigation.
## 0.02	2025-12-14
commit 6c9a6f1a5f774dae176beff02219f504ea3a6e07
Author: C.J. Collier 
Date:   Sun Dec 14 20:13:09 2025 +0000
    Fix(perl): Correct UPB build integration and generated file handling
    
    This commit resolves several issues to achieve a successful build of the Perl extension:
    
    1.  **Use Bazel Generated Files:** Switched from compiling UPB's stage0 descriptor.upb.c to using the Bazel-generated  descriptor.upb.c  and  descriptor.upb_minitable.c  located in  bazel-bin/src/google/protobuf/_virtual_imports/descriptor_proto/google/protobuf/ .
    2.  **Updated Include Paths:** Added the  bazel-bin  path to  INC  in  WriteMakefile  and to  base_flags  in  MY::postamble  to ensure the generated headers are found during both XS and static library compilation.
    3.  **Removed Stage0:** Removed references to  UPB_STAGE0_DIR  and no longer include headers or source files from  upb/reflection/stage0/ .
    4.  **-fPIC:** Explicitly added  -fPIC  to  CCFLAGS  in  WriteMakefile  and ensured  $(CCFLAGS)  is used in the custom compilation rules in  MY::postamble . This guarantees all object files in the static library are compiled with position-independent code, resolving linker errors when creating the shared objects for the XS modules.
    5.  **Refined UPB Sources:** Used  File::Find  to recursively find UPB C sources, excluding  /conformance/  and  /reflection/stage0/  to avoid conflicts and unnecessary compilations.
    6.  **Arena Constructor:** Modified  ProtoBuf::Arena::pb_arena_new  XSUB to accept the class name argument passed from Perl, making it a proper constructor.
    7.  **.gitignore:** Added patterns to  perl/.gitignore  to ignore generated C files from XS ( lib/*.c ,  lib/ProtoBuf/*.c ), the copied  src_google_protobuf_descriptor.pb.cc , and the  t/data  directory.
    8.  **Build Documentation:** Updated  perl/doc/architecture/upb-build-integration.md  to reflect the new build process, including the Bazel prerequisite, include paths,  -fPIC  usage, and  File::Find .
    
    Build Steps:
    1.   bazel build //src/google/protobuf:descriptor_upb_proto  (from repo root)
    2.   cd perl 
    3.   perl Makefile.PL 
    4.   make 
    5.   make test  (Currently has expected failures due to missing test data implementation).
## 0.01	2025-12-14
commit 3e237e8a26442558c94075766e0d4456daaeb71d
Author: C.J. Collier 
Date:   Sun Dec 14 19:34:28 2025 +0000
    feat(perl): Initialize Perl extension scaffold and build system
    
    This commit introduces the  perl/  directory, laying the groundwork for the Perl Protocol Buffers extension. It includes the essential build files, linters, formatter configurations, and a vendored Devel::PPPort for XS portability.
    
    Key components added:
    
    *   ** Makefile.PL **: The core  ExtUtils::MakeMaker  build script. It's configured to:
        *   Build a static library ( libprotobuf_common.a ) from UPB, UTF8_Range, and generated protobuf C/C++ sources.
        *   Utilize  XSMULTI => 1  to create separate shared objects for  ProtoBuf ,  ProtoBuf::Arena , and  ProtoBuf::DescriptorPool .
        *   Link each XS module against the common static library.
        *   Define custom compilation rules in  MY::postamble  to handle C vs. C++ flags and build the static library.
        *   Set up include paths for the project root, UPB, and other dependencies.
    
    *   **XS Stubs ( .xs  files)**:
        *    lib/ProtoBuf.xs : Placeholder for the main module's XS functions.
        *    lib/ProtoBuf/Arena.xs : XS interface for  upb_Arena  management.
        *    lib/ProtoBuf/DescriptorPool.xs : XS interface for  upb_DefPool  management.
    
    *   **Perl Module Stubs ( .pm  files)**:
        *    lib/ProtoBuf.pm : Main module, loads XS.
        *    lib/ProtoBuf/Arena.pm : Perl class for Arenas.
        *    lib/ProtoBuf/DescriptorPool.pm : Perl class for Descriptor Pools.
        *    lib/ProtoBuf/Message.pm : Base class for messages (TBD).
    
    *   **Configuration Files**:
        *    .gitignore : Ignores build artifacts, editor files, etc.
        *    .perlcriticrc : Configures Perl::Critic for static analysis.
        *    .perltidyrc : Configures perltidy for code formatting.
    
    *   ** Devel::PPPort **: Vendored version 3.72 to generate  ppport.h  for XS compatibility across different Perl versions.
    
    *   ** typemap **: Custom typemap for XS argument/result conversion.
    
    *   **Documentation ( doc/ )**: Initial architecture and plan documents.
    
    This provides a solid foundation for developing the UPB-based Perl extension.

21 December 2025

Ian Jackson: Debian s git transition

tl;dr: There is a Debian git transition plan. It s going OK so far but we need help, especially with outreach and updating Debian s documentation. Goals of the Debian git transition project
  1. Everyone who interacts with Debian source code should be able to do so entirely in git.
That means, more specifically:
  1. All examination and edits to the source should be performed via normal git operations.
  2. Source code should be transferred and exchanged as git data, not tarballs. git should be the canonical form everywhere.
  3. Upstream git histories should be re-published, traceably, as part of formal git releases published by Debian.
  4. No-one should have to learn about Debian Source Packages, which are bizarre, and have been obsoleted by modern version control.
This is very ambitious, but we have come a long way! Achievements so far, and current status We have come a very long way. But, there is still much to do - especially, the git transition team needs your help with adoption, developer outreach, and developer documentation overhaul. We ve made big strides towards goals 1 and 4. Goal 2 is partially achieved: we currently have dual running. Goal 3 is within our reach but depends on widespread adoption of tag2upload (and/or dgit push). Downstreams and users can obtain the source code of any Debian package in git form. (dgit clone, 2013). They can then work with this source code completely in git, including building binaries, merging new versions, even automatically (eg Raspbian, 2016), and all without having to deal with source packages at all (eg Wikimedia 2025). A Debian maintainer can maintain their own package entirely in git. They can obtain upstream source code from git, and do their packaging work in git (git-buildpackage, 2006). Every Debian maintainer can (and should!) release their package from git reliably and in a standard form (dgit push, 2013; tag2upload, 2025). This is not only more principled, but also more convenient, and with better UX, than pre-dgit tooling like dput. Indeed a Debian maintainer can now often release their changes to Debian, from git, using only git branches (so no tarballs). Releasing to Debian can be simply pushing a signed tag (tag2upload, 2025). A Debian maintainer can maintain a stack of changes to upstream source code in git (gbp pq 2009). They can even maintain such a delta series as a rebasing git branch, directly buildable, and use normal git rebase style operations to edit their changes, (git-dpm, 2010; git-debrebase, 2018) An authorised Debian developer can do a modest update to any package in Debian, even one maintained by someone else, working entirely in git in a standard and convenient way (dgit, 2013). Debian contributors can share their work-in-progress on git forges and collaborate using merge requests, git based code review, and so on. (Alioth, 2003; Salsa, 2018.) Core engineering principle The Debian git transition project is based on one core engineering principle: Every Debian Source Package can be losslessly converted to and from git. In order to transition away from Debian Source Packages, we need to gateway between the old dsc approach, and the new git approach. This gateway obviously needs to be bidirectional: source packages uploaded with legacy tooling like dput need to be imported into a canonical git representation; and of course git branches prepared by developers need to be converted to source packages for the benefit of legacy downstream systems (such as the Debian Archive and apt source). This bidirectional gateway is implemented in src:dgit, and is allowing us to gradually replace dsc-based parts of the Debian system with git-based ones. Correspondence between dsc and git A faithful bidirectional gateway must define an invariant: The canonical git tree, corresponding to a .dsc, is the tree resulting from dpkg-source -x. This canonical form is sometimes called the dgit view . It s sometimes not the same as the maintainer s git branch, because many maintainers are still working with patches-unapplied git branches. More on this below. (For 3.0 (quilt) .dscs, the canonical git tree doesn t include the quilt .pc directory.) Patches-applied vs patches-unapplied The canonical git format is patches applied . That is: If Debian has modified the upstream source code, a normal git clone of the canonical branch gives the modified source tree, ready for reading and building. Many Debian maintainers keep their packages in a different git branch format, where the changes made by Debian, to the upstream source code, are in actual patch files in a debian/patches/ subdirectory. Patches-applied has a number of important advantages over patches-unapplied: The downside is that, with the (bizarre) 3.0 (quilt) source format, the patch files files in debian/patches/ must somehow be kept up to date. Nowadays though, tools like git-debrebase and git-dpm (and dgit for NMUs) make it very easy to work with patches-applied git branches. git-debrebase can deal very ergonomically even with big patch stacks. (For smaller packages which usually have no patches, plain git merge with an upstream git branch, and a much simpler dsc format, sidesteps the problem entirely.) Prioritising Debian s users (and other outsiders) We want everyone to be able to share and modify the software that they interact with. That means we should make source code truly accessible, on the user s terms. Many of Debian s processes assume everyone is an insider. It s okay that there are Debian insiders and that people feel part of something that they worked hard to become involved with. But lack of perspective can lead to software which fails to uphold our values. Our source code practices in particular, our determination to share properly (and systematically) are a key part of what makes Debian worthwhile at all. Like Debian s installer, we want our source code to be useable by Debian outsiders. This is why we have chosen to privilege a git branch format which is more familiar to the world at large, even if it s less popular in Debian. Consequences, some of which are annoying The requirement that the conversion be bidirectional, lossless, and context-free can be inconvenient. For example, we cannot support .gitattributes which modify files during git checkin and checkout. .gitattributes cause the meaning of a git tree to depend on the context, in possibly arbitrary ways, so the conversion from git to source package wouldn t be stable. And, worse, some source packages might not to be representable in git at all. Another example: Maintainers often have existing git branches for their packages, generated with pre-dgit tooling which is less careful and less principled than ours. That can result in discrepancies between git and dsc, which need to be resolved before a proper git-based upload can succeed. That some maintainers use patches-unapplied, and some patches-unapplied, means that there has to be some kind of conversion to a standard git representation. Choosing the less-popular patches-applied format as the canonical form, means that many packages need their git representation converted. It also means that user- and outsider-facing branches from browse,git .dgit.d.o and dgit clone are not always compatible with maintainer branches on Salsa. User-contributed changes need cherry-picking rather than merging, or conversion back to the maintainer format. The good news is that dgit can automate much of this, and the manual parts are usually easy git operations. Distributing the source code as git Our source code management should be normal, modern, and based on git. That means the Debian Archive is obsolete and needs to be replaced with a set of git repositories. The replacement repository for source code formally released to Debian is *.dgit.debian.org. This contains all the git objects for every git-based upload since 2013, including the signed tag for each released package version. The plan is that it will contain a git view of every uploaded Debian package, by centrally importing all legacy uploads into git. Tracking the relevant git data, when changes are made in the legacy Archive Currently, many critical source code management tasks are done by changes to the legacy Debian Archive, which works entirely with dsc files (and the associated tarballs etc). The contents of the Archive are therefore still an important source of truth. But, the Archive s architecture means it cannot sensibly directly contain git data. To track changes made in the Archive, we added the Dgit: field to the .dsc of a git-based upload (2013). This declares which git commit this package was converted from. and where those git objects can be obtained. Thus, given a Debian Source Package from a git-based upload, it is possible for the new git tooling to obtain the equivalent git objects. If the user is going to work in git, there is no need for any tarballs to be downloaded: the git data could be obtained from the depository using the git protocol. The signed tags, available from the git depository, have standardised metdata which gives traceability back to the uploading Debian contributor. Why *.dgit.debian.org is not Salsa We need a git depository - a formal, reliable and permanent git repository of source code actually released to Debian. Git forges like Gitlab can be very convenient. But Gitlab is not sufficiently secure, and too full of bugs, to be the principal and only archive of all our source code. (The open core business model of the Gitlab corporation, and the constant-churn development approach, are critical underlying problems.) Our git depository lacks forge features like Merge Requests. But: The dgit git depository outlasted Alioth and it may well outlast Salsa. We need both a good forge, and the *.dgit.debian.org formal git depository. Roadmap In progress Right now we are quite focused on tag2upload. We are working hard on eliminating the remaining issues that we feel need to be addressed before declaring the service out of beta. Future Technology Whole-archive dsc importer Currently, the git depository only has git data for git-based package updates (tag2upload and dgit push). Legacy dput-based uploads are not currently present there. This means that the git-based and legacy uploads must be resolved client-side, by dgit clone. We will want to start importing legacy uploads to git. Then downstreams and users will be able to get the source code for any package simply with git clone, even if the maintainer is using legacy upload tools like dput. Support for git-based uploads to security.debian.org Security patching is a task which would particularly benefit from better and more formal use of git. git-based approaches to applying and backporting security patches are much more convenient than messing about with actual patch files. Currently, one can use git to help prepare a security upload, but it often involves starting with a dsc import (which lacks the proper git history) or figuring out a package maintainer s unstandardised git usage conventions on Salsa. And it is not possible to properly perform the security release as git. Internal Debian consumers switch to getting source from git Buildds, QA work such as lintian checks, and so on, could be simpler if they don t need to deal with source packages. And since git is actually the canonical form, we want them to use it directly. Problems for the distant future For decades, Debian has been built around source packages. Replacing them is a long and complex process. Certainly source packages are going to continue to be supported for the foreseeable future. There are no doubt going to be unanticipated problems. There are also foreseeable issues: for example, perhaps there are packages that work very badly when represented in git. We think we can rise to these challenges as they come up. Mindshare and adoption - please help! We and our users are very pleased with our technology. It is convenient and highly dependable. dgit in particular is superb, even if we say so ourselves. As technologists, we have been very focused on building good software, but it seems we have fallen short in the marketing department. A rant about publishing the source code git is the preferred form for modification. Our upstreams are overwhelmingly using git. We are overwhelmingly using git. It is a scandal that for many packages, Debian does not properly, formally and officially publish the git history. Properly publishing the source code as git means publishing it in a way that means that anyone can automatically and reliably obtain and build the exact source code corresponding to the binaries. The test is: could you use that to build a derivative? Putting a package in git on Salsa is often a good idea, but it is not sufficient. No standard branch structure git on Salsa is enforced, nor should it be (so it can t be automatically and reliably obtained), the tree is not in a standard form (so it can t be automatically built), and is not necessarily identical to the source package. So Vcs-Git fields, and git from Salsa, will never be sufficient to make a derivative. Debian is not publishing the source code! The time has come for proper publication of source code by Debian to no longer be a minority sport. Every maintainer of a package whose upstream is using git (which is nearly all packages nowadays) should be basing their work on upstream git, and properly publishing that via tag2upload or dgit. And it s not even difficult! The modern git-based tooling provides a far superior upload experience. A common misunderstanding dgit push is not an alternative to gbp pq or quilt. Nor is tag2upload. These upload tools complement your existing git workflow. They replace and improve source package building/signing and the subsequent dput. If you are using one of the usual git layouts on salsa, and your package is in good shape, you can adopt tag2upload and/or dgit push right away. git-debrebase is distinct and does provides an alternative way to manage your git packaging, do your upstream rebases, etc. Documentation Debian s documentation all needs to be updated, including particularly instructions for packaging, to recommend use of git-first workflows. Debian should not be importing git-using upstreams release tarballs into git. (Debian outsiders who discover this practice are typically horrified.) We should use only upstream git, work only in git, and properly release (and publish) in git form. We, the git transition team, are experts in the technology, and can provide good suggestions. But we do not have the bandwidth to also engage in the massive campaigns of education and documentation updates that are necessary especially given that (as with any programme for change) many people will be sceptical or even hostile. So we would greatly appreciate help with writing and outreach. Personnel We consider ourselves the Debian git transition team. Currently we are: We wear the following hats related to the git transition: You can contact us: We do most of our heavy-duty development on Salsa. Thanks Particular thanks are due to Joey Hess, who, in the now-famous design session in Vaumarcus in 2013, helped invent dgit. Since then we have had a lot of support: most recently political support to help get tag2upload deployed, but also, over the years, helpful bug reports and kind words from our users, as well as translations and code contributions. Many other people have contributed more generally to support for working with Debian source code in git. We particularly want to mention Guido G nther (git-buildpackage); and of course Alexander Wirt, Joerg Jaspert, Thomas Goirand and Antonio Terceiro (Salsa administrators); and before them the Alioth administrators.

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19 December 2025

Otto Kek l inen: Backtesting trailing stop-loss strategies with Python and market data

Featured image of post Backtesting trailing stop-loss strategies with Python and market dataIn January 2024 I wrote about the insanity of the Magnificent Seven dominating the MSCI World Index, and I wondered how long the number can continue to go up? It has continued to surge upward at an accelerating pace, which makes me worry that a crash is likely closer. As a software professional, I decided to analyze whether using stop-loss orders could reliably automate avoiding deep drawdowns. As everyone with some savings in the stock market (hopefully) knows, the stock market eventually experiences crashes. It is just a matter of when and how deep the crash will be. Staying on the sidelines for years is not a good investment strategy, as inflation will erode the value of your savings. Assuming the current true inflation rate is around 7%, a restaurant dinner that costs 20 euros today will cost 24.50 euros in three years. Savings of 1000 euros today would drop in purchasing power from 50 dinners to only 40 dinners in three years. Hence, if you intend to retain the value of your hard-earned savings, they need to be invested in something that grows in value. Most people try to beat inflation by buying shares in stable companies, directly or via broad market ETFs. These historically grow faster than inflation during normal years, but likely drop in value during recessions.

What is a trailing stop-loss order? What if you could buy stocks to benefit from their value increasing without having to worry about a potential crash? All modern online stock brokers have a feature called stop-loss, where you can enter a price at which your stocks automatically get sold if they drop down to that price. A trailing stop-loss order is similar, but instead of a fixed price, you enter a margin (e.g. 10%). If the stock price rises, the stop-loss price will trail upwards by that margin. For example, if you buy a share at 100 euros and it has risen to 110 euros, you can set a 10% trailing stop-loss order which automatically sells it if the price drops 10% from the peak of 110 euros, at 99 euros. Thus, no matter what happens, you only lost 1 euro. And if the stock price continues to rise to 150 euros, the trailing stop-loss would automatically readjust to 150 euros minus 10%, which is 135 euros (150-15=135). If the price dropped to 135 euros, you would lock in a gain of 35 euros, which is not the peak price of 150 euros, but still better than whatever the price fell down to as a result of a large crash. In the simple case above, it obviously makes sense in theory, but it might not make sense in practice. Prices constantly oscillate, so you don t want a margin that is too small, otherwise you exit too early. Conversely, having a large margin may result in too large a drawdown before exiting. If markets crash rapidly, it might be that nobody buys your stocks at the stop-loss price, and shares have to be sold at an even lower price. Also, what will you do once the position is sold? The reason you invested in the stock market was to avoid holding cash, so would you buy the same stock back when the crash bottoms? But how will you know when the bottom has been reached?

Backtesting stock market strategies with Python, YFinance, Pandas and Lightweight Charts I am not a professional investor, and nobody should take investment advice from me. However, I know what backtesting is and how to leverage open source software. So, I wrote a Python script to test if the trading strategy of using trailing stop-loss orders with specific margin values would have worked for a particular stock. First you need to have data. YFinance is a handy Python library that can be used to download the historic price data for any stock ticker on Yahoo.com. Then you need to manipulate the data. Pandas is the Python data analysis library with advanced data structures for working with relational or labeled data. Finally, to visualize the results, I used Lightweight Charts, which is a fast, interactive library for rendering financial charts, allowing you to plot the stock price, the trailing stop-loss line, and the points where trades would have occurred. I really like how the zoom is implemented in Lightweight Charts, which makes drilling into the data points feel effortless. The full solution is not polished enough to be published for others to use, but you can piece together your own by reusing some of the key snippets. To avoid re-downloading the same data repeatedly, I implemented a small caching wrapper that saves the data locally (as Parquet files):
python
CACHE_DIR.mkdir(parents=True, exist_ok=True)
end_date = datetime.today().strftime("%Y-%m-%d")
cache_file = CACHE_DIR / f" TICKER - START_DATE -- end_date .parquet"

if cache_file.is_file():
 dataframe = pandas.read_parquet(cache_file)
 print(f"Loaded price data from cache:  cache_file ")
else:
 dataframe = yfinance.download(
 TICKER,
 start=START_DATE,
 end=end_date,
 progress=False,
 auto_adjust=False
 )

 dataframe.to_parquet(cache_file)
 print(f"Fetched new price data from Yahoo Finance and cached to:  cache_file ")
The dataframe is a Pandas object with a powerful API. For example, to print a snippet from the beginning and the end of the dataframe to see what the data looks like, you can use:
python
print("First 5 rows of the raw data:")
print(df.head())
print("Last 5 rows of the raw data:")
print(df.tail())
Example output:
First 5 rows of the raw data
Price Adj Close Close High Low Open Volume
Ticker BNP.PA BNP.PA BNP.PA BNP.PA BNP.PA BNP.PA
Date
2014-01-02 29.956285 55.540001 56.910000 55.349998 56.700001 316552
2014-01-03 30.031801 55.680000 55.990002 55.290001 55.580002 210044
2014-01-06 30.080338 55.770000 56.230000 55.529999 55.560001 185142
2014-01-07 30.943321 57.369999 57.619999 55.790001 55.880001 370397
2014-01-08 31.385597 58.189999 59.209999 57.750000 57.790001 489940
Last 5 rows of the raw data
Price Adj Close Close High Low Open Volume
Ticker BNP.PA BNP.PA BNP.PA BNP.PA BNP.PA BNP.PA
Date
2025-12-11 78.669998 78.669998 78.919998 76.900002 76.919998 357918
2025-12-12 78.089996 78.089996 80.269997 78.089996 79.470001 280477
2025-12-15 79.080002 79.080002 79.449997 78.559998 78.559998 233852
2025-12-16 78.860001 78.860001 79.980003 78.809998 79.430000 283057
2025-12-17 80.080002 80.080002 80.150002 79.080002 79.199997 262818
Adding new columns to the dataframe is easy. For example, I used a custom function to calculate the Relative Strength Index (RSI). To add a new column RSI with a value for every row based on the price from that row, only one line of code is needed, without custom loops:
python
df["RSI"] = compute_rsi(df["price"], period=14)
After manipulating the data, the series can be converted into an array structure and printed as JSON into a placeholder in an HTML template:
python
 baseline_series = [
  "time": ts, "value": val 
 for ts, val in df_plot[["timestamp", BASELINE_LABEL]].itertuples(index=False)
 ]

 baseline_json = json.dumps(baseline_series)
 template = jinja2.Template("template.html")
 rendered_html = template.render(
 title=title,
 heading=heading,
 description=description_html,
 ...
 baseline_json=baseline_json,
 ...
 )

 with open("report.html", "w", encoding="utf-8") as f:
 f.write(rendered_html)
 print("Report generated!")
In the HTML template, the marker variable in Jinja syntax gets replaced with the actual JSON:
html
<!DOCTYPE html>
<html lang="en">
<head>
 <meta charset="UTF-8">
 <title>  title  </title>
 ...
</head>
<body>
 <h1>  heading  </h1>
 <div id="chart"></div>
 <script>
 // Ensure the DOM is ready before we initialise the chart
 document.addEventListener('DOMContentLoaded', () =>  
 // Parse the JSON data passed from Python
 const baselineData =   baseline_json   safe  ;
 const strategyData =   strategy_json   safe  ;
 const markersData =   markers_json   safe  ;

 // Create the chart
 const chart = LightweightCharts.createChart(document.getElementById('chart'),  
 width: document.getElementById('chart').clientWidth,
 height: 500,
 layout:  
 background:   color: "#222"  ,
 textColor: "#ccc"
  ,
 grid:  
 vertLines:   color: "#555"  ,
 horzLines:   color: "#555"  
  
  );

 // Add baseline series
 const baselineSeries = chart.addLineSeries( 
 title: '  baseline_label  ',
 lastValueVisible: false,
 priceLineVisible: false,
 priceLineWidth: 1
  );
 baselineSeries.setData(baselineData);

 baselineSeries.priceScale().applyOptions( 
 entireTextOnly: true
  );

 // Add strategy series
 const strategySeries = chart.addLineSeries( 
 title: '  strategy_label  ',
 lastValueVisible: false,
 priceLineVisible: false,
 color: '#FF6D00'
  );
 strategySeries.setData(strategyData);

 // Add buy/sell markers to the strategy series
 strategySeries.setMarkers(markersData);

 // Fit the chart to show the full data range (full zoom)
 chart.timeScale().fitContent();
  )
 </script>
</body>
</html>
There are also Python libraries built specifically for backtesting investment strategies, such as Backtrader and Zipline, but they do not seem to be actively maintained, and probably have too many features and complexity compared to what I needed for doing this simple test. The screenshot below shows an example of backtesting a strategy on the Waste Management Inc stock from January 2015 to December 2025. The baseline Buy and hold scenario is shown as the blue line and it fully tracks the stock price, while the orange line shows how the strategy would have performed, with markers for the sells and buys along the way. Backtest run example

Results I experimented with multiple strategies and tested them with various parameters, but I don t think I found a strategy that was consistently and clearly better than just buy-and-hold. It basically boils down to the fact that I was not able to find any way to calculate when the crash has bottomed based on historical data. You can only know in hindsight that the price has stopped dropping and is on a steady path to recovery, but at that point it is already too late to buy in. In my testing, most strategies underperformed buy-and-hold because they sold when the crash started, but bought back after it recovered at a slightly higher price. In particular when using narrow margins and selling on a 3-6% drawdown the strategy performed very badly, as those small dips tend to recover in a few days. Essentially, the strategy was repeating the pattern of selling 100 stocks at a 6% discount, then being able to buy back only 94 shares the next day, then again selling 94 shares at a 6% discount, and only being able to buy back maybe 90 shares after recovery, and so forth, never catching up to the buy-and-hold. The strategy worked better in large market crashes as they tended to last longer, and there were higher chances of buying back the shares while the price was still low. For example, in the 2020 crash selling at a 20% drawdown was a good strategy, as the stock I tested dropped nearly 50% and remained low for several weeks; thus, the strategy bought back the stocks while the price was still low and had not yet started to climb significantly. But that was just a lucky incident, as the delta between the trailing stop-loss margin of 20% and total crash of 50% was large enough. If the crash had been only 25%, the strategy would have missed the rebound and ended up buying back the stocks at a slightly higher price. Also, note that the simulation assumes that the trade itself is too small to affect the price formation. We should keep in mind that in reality, if many people have stop-loss orders in place, a large price drop would trigger all of them, creating a flood of sell orders, which in turn would affect the price and drive it lower even faster and deeper. Luckily, it seems that stop-loss orders are generally not a good strategy, and we don t need to fear that too many people will be using them.

Conclusion Even though using a trailing stop-loss strategy does not seem to help in getting consistently higher returns based on my backtesting, I would still say it is useful in protecting from the downside of stock investing. It can act as a kind of insurance policy to considerably decrease the chances of losing big while increasing the chances of losing a little bit. If you are risk-averse, which I think I probably am, this tradeoff can make sense. I d rather miss out on an initial 50% loss and an overall 3% gain on recovery than have to sit through weeks or months with a 50% loss before the price recovers to prior levels. Most notably, the trailing stop-loss strategy works best if used only once. If it is repeated multiple times, the small losses in gains will compound into big losses overall. Thus, I think I might actually put this automation in place at least on the stocks in my portfolio that have had the highest gains. If they keep going up, I will ride along, but once the crash happens, I will be out of those particular stocks permanently. Do you have a favorite open source investment tool or are you aware of any strategy that actually works? Comment below!

18 December 2025

Colin Watson: Preparing a transition in Debusine

We announced a public beta of Debusine repositories recently (Freexian blog, debian-devel-announce). One thing I m very keen on is being able to use these to prepare transitions : changes to multiple packages that need to be prepared together in order to land in testing. As I said in my DebConf25 talk:
We have distribution-wide CI in unstable, but there s only one of it and it s shared between all of us. As a result it s very possible to get into tangles when multiple people are working on related things at the same time, and we only avoid that as much as we do by careful coordination such as transition bugs. Experimental helps, but again, there s only one of it and setting up another one is far from trivial. So, what we want is a system where you can run experiments on possible Debian changes at a large scale without a high setup cost and without fear of breaking things for other people. And then, if it all works, push the whole lot into Debian.
Time to practice what I preach. Setup The setup process is documented on the Debian wiki. You need to decide whether you re working on a short-lived experiment, in which case you ll run the create-experiment workflow and your workspace will expire after 60 days of inactivity, or something that you expect to keep around for longer, in which case you ll run the create-repository workflow. Either one of those will create a new workspace for you. Then, in that workspace, you run debusine archive suite create for whichever suites you want to use. For the case of a transition that you plan to land in unstable, you ll most likely use create-experiment and then create a single suite with the pattern sid-<name>. The situation I was dealing with here was moving to Pylint 4. Tests showed that we needed this as part of adding Python 3.14 as a supported Python version, and I knew that I was going to need newer upstream versions of the astroid and pylint packages. However, I wasn t quite sure what the fallout of a new major version of pylint was going to be. Fortunately, the Debian Python ecosystem has pretty good autopkgtest coverage, so I thought I d see what Debusine said about it. I created an experiment called cjwatson-pylint (resulting in https://debusine.debian.net/debian/developers-cjwatson-pylint/ - I m not making that a proper link since it will expire in a couple of months) and a sid-pylint suite in it. Iteration From this starting point, the basic cycle involved uploading each package like this for each package I d prepared:
$ dput -O debusine_workspace=developers-cjwatson-pylint \
       -O debusine_workflow=publish-to-sid-pylint \
       debusine.debian.net foo.changes
I could have made a new dput-ng profile to cut down on typing, but it wasn t worth it here. Then I looked at the workflow results, figured out which other packages I needed to fix based on those, and repeated until the whole set looked coherent. Debusine automatically built each upload against whatever else was currently in the repository, as you d expect. I should probably have used version numbers with tilde suffixes (e.g. 4.0.2-1~test1) in case I needed to correct anything, but fortunately that was mostly unnecessary. I did at least run initial test-builds locally of just the individual packages I was directly changing to make sure that they weren t too egregiously broken, just because I usually find it quicker to iterate that way. I didn t take screenshots as I was going along, but here s what the list of top-level workflows in my workspace looked like by the end: Workflows You can see that not all of the workflows are successful. This is because we currently just show everything in every workflow; we don t consider whether a task was retried and succeeded on the second try, or whether there s now a newer version of a reverse-dependency so tests of the older version should be disregarded, and so on. More fundamentally, you have to look through each individual workflow, which is a bit of a pain: we plan to add a dashboard that shows you the current state of a suite as a whole rather than the current workflow-oriented view, but we haven t started on that yet. Drilling down into one of these workflows, it looks something like this: astroid workflow This was the first package I uploaded. The first pass of failures told me about pylint (expected), pylint-flask (an obvious consequence), and python-sphinx-autodoc2 and sphinx-autoapi (surprises). The slightly odd pattern of failures and errors is because I retried a few things, and we sometimes report retries in a slightly strange way, especially when there are workflows involved that might not be able to resolve their input parameters any more. The next level was: pylint workflow Again, there were some retries involved here, and also some cases where packages were already failing in unstable so the failures weren t the fault of my change; for now I had to go through and analyze these by hand, but we ll soon have regression tracking to compare with reference runs and show you where things have got better or worse. After excluding those, that left pytest-pylint (not caused by my changes, but I fixed it anyway in unstable to clear out some noise) and spyder. I d seen people talking about spyder on #debian-python recently, so after a bit of conversation there I sponsored a rope upload by Aeliton Silva, upgraded python-lsp-server, and patched spyder. All those went into my repository too, exposing a couple more tests I d forgotten in spyder. Once I was satisfied with the results, I uploaded everything to unstable. The next day, I looked through the tracker as usual starting from astroid, and while there are some test failures showing up right now it looks as though they should all clear out as pieces migrate to testing. Success! Conclusions We still have some way to go before this is a completely smooth experience that I d be prepared to say that every developer can and should be using; there are all sorts of fit-and-finish issues that I can easily see here. Still, I do think we re at the point where a tolerant developer can use this to deal with the common case of a mid-sized transition, and get more out of it than they put in. Without Debusine, either I d have had to put much more effort into searching for and testing reverse-dependencies myself, or (more likely, let s face it) I d have just dumped things into unstable and sorted them out afterwards, resulting in potentially delaying other people s work. This way, everything was done with as little disruption as possible. This works best when the packages likely to be involved have reasonably good autopkgtest coverage (even if the tests themselves are relatively basic). This is an increasingly good bet in Debian, but we have plans to add installability comparisons (similar to how Debian s testing suite works) as well as optional rebuild testing. If this has got you interested, please try it out for yourself and let us know how it goes!

17 December 2025

Jonathan McDowell: 21 years of blogging

21 years ago today I wrote my first blog post. Did I think I d still be writing all this time later? I ve no idea to be honest. I ve always had the impression my readership is small, and people who mostly know me in some manner, and I post to let them know what I m up to in more detail than snippets of IRC conversation can capture. Or I write to make notes for myself (I frequently refer back to things I ve documented here). I write less about my personal life than I used to, but I still occasionally feel the need to mark some event. From a software PoV I started out with Blosxom, migrated to MovableType in 2008, ditched that, when the Open Source variant disappeared, for Jekyll in 2015 (when I also started putting it all in git). And have stuck there since. The static generator format works well for me, and I outsource comments to Disqus - I don t get a lot, I can t be bothered with the effort of trying to protect against spammers, and folk who don t want to use it can easily email or poke me on the Fediverse. If I ever feel the need to move from Jekyll I ll probably take a look at Hugo, but thankfully at present there s no push factor to switch. It s interesting to look at my writing patterns over time. I obviously started keen, and peaked with 81 posts in 2006 (I ve no idea how on earth that happened), while 2013 had only 2. Generally I write less when I m busy, or stressed, or unhappy, so it s kinda interesting to see how that lines up with various life events. Blog posts over time During that period I ve lived in 10 different places (well, 10 different houses/flats, I think it s only 6 different towns/cities), on 2 different continents, working at 6 different employers, as well as a period where I was doing my Masters in law. I ve travelled around the world, made new friends, lost contact with folk, started a family. In short, I have lived, even if lots of it hasn t made it to these pages. At this point, do I see myself stopping? No, not really. I plan to still be around, like Flameeyes, to the end. Even if my posts are unlikely to hit the frequency from back when I started out.

16 December 2025

Christian Kastner: Simple-PPA, a minimalistic PPA implementation

Today, the Debusine developers launched Debusine repositories, a beta implementation of PPAs. In the announcement, Colin remarks that "[d]iscussions about this have been happening for long enough that people started referring to PPAs for Debian as 'bikesheds'"; a characterization that I'm sure most will agree with. So it is with great amusement that on this same day, I launch a second PPA implementation for Debian: Simple-PPA. Simple-PPA was never meant to compete with Debusine, though. In fact, it's entirely the opposite: from discussions at DebConf, I knew that it was only a matter of time until Debusine gained a PPA-like feature, but I needed a stop-gap solution earlier, and with some polish, what was once by Python script already doing APT processing for apt.ai.debian.net, recently became Simple-PPA. Consequently, Simple-PPA lacks (and will always lack) all of the features that Debusine offers: there is no auto-building, no CI, nor any other type of QA. It's the simplest possible type of APT repository: you just upload packages, they get imported into an archive, and the archive is exposed via a web server. Under the hood, reprepro does all the heavy lifting. However, this also means it's trivial to set up. The following is the entire configuration that simple-ppa.debian.net started with:
# simple-ppa.conf
[CORE]
SignWith = 2906D748B7551BC8
ExportDir = /srv/www/simple-ppa
MailFrom: Simple-PPA <admin@simple-ppa.debian.net>
Codenames = sid forky trixie trixie-backports bookworm bookworm-backports
AlsoAllow = forky: unstable
            trixie: unstable
            bookworm: unstable
[simple-ppa-dev]
Label = Simple-PPA's self-hosted development repository
# ckk's key
Uploaders = allow * by key E76004C5CEF0C94C+
[ckk]
Label = Christian Kastner at Simple-PPA
Uploaders = allow * by key E76004C5CEF0C94C+
The CORE section just sets some defaults and sensible rules. Two PPAs are defined, simple-ppa-dev and ckk, which accept packages signed by the key with the ID E76004C5CEF0C94C. These PPAs use the global defaults, but individual PPAs can override Architectures, Suites, and Components, and of course allow an arbitrary number of users. Users upload to this archive using SFTP (e.g.: with dput-ng). Every 15 minutes, uploads get processed, with ACCEPTED or REJECTED mails sent to the Maintainer address. The APT archive of all PPAs is signed with a single global key. I myself intend to use Debusine repositories soon, as the autobuilding and the QA tasks Debusine offers are something I need. However, I do still see a niche use case for Simple-PPA: when you need an APT archive, but don't want to do a deep dive into reprepro (which is extremely powerful). If you'd like to give Simple-PPA a try, head over to simple-ppa.debian.net and follow the instructions for users.

Freexian Collaborators: Monthly report about Debian Long Term Support, November 2025 (by Santiago Ruano Rinc n)

The Debian LTS Team, funded by [Freexian s Debian LTS offering] (https://www.freexian.com/lts/debian/), is pleased to report its activities for November.

Activity summary During the month of November, 18 contributors have been paid to work on Debian LTS (links to individual contributor reports are located below). The team released 33 DLAs fixing 219 CVEs. The LTS Team kept going with the usual cadence of preparing security updates for Debian 11 bullseye , but also for Debian 12 bookworm , Debian 13 trixie and even Debian unstable. As in previous months, we are pleased to say that there have been multiple contributions of LTS uploads by Debian Fellows outside the regular LTS Team. Notable security updates:
  • Guilhem Moulin prepared DLA 4365-1 for unbound, a caching DNS resolver, fixing a cache poisoning vulnerability that could lead to domain hijacking.
  • Another update related to DNS software was made by Andreas Henriksson. Andreas completed the work on bind9, released as DLA 4364-1 to fix cache poisoning and Denial of Service (DoS) vulnerabilities.
  • Chris Lamb released DLA 4374-1 to fix a potential arbitrary code execution vulnerability in pdfminer, a tool for extracting information from PDF documents.
  • Ben Hutchings published a regular security update for the linux 6.1 bullseye backport, as DLA 4379-1.
  • A couple of other important recurrent updates were prepared by Emilio Pozuelo, who handled firefox-esr and thunderbird (in collaboration with Christoph Goehre), published as DLAs DLA 4370-1 and DLA 4372-1, respectively.
Contributions from fellows outside the LTS Team:
  • Thomas Goirand uploaded a bullseye update for keystone and swift
  • Jeremy B cha prepared the bullseye update for gst-plugins-base1.0
  • As mentioned above, Christoph Goehre prepared the bullseye update for thunderbird.
  • Mathias Behrle provided feedback about the tryton-server and tryton-sao vulnerabilities that were disclosed last month, and helped to review the bullseye patches for tryton-server.
Other than the regular LTS updates for bullseye, the LTS Team has also contributed updates to the latest Debian releases:
  • Bastien Roucari s prepared a bookworm update for squid, the web proxy cache server.
  • Carlos Henrique Lima Melara filed a bookworm point update request for gdk-pixbuf to fix CVE-2025-7345, a heap buffer overflow vulnerability that could lead to arbitrary code execution.
  • Daniel Leidert prepared bookworm and trixie updates for r-cran-gh to fix CVE-2025-54956, an issue that may expose user credentials in HTTP responses.
  • Along with the bullseye updates for unbound mentioned above, Guilhem helped to prepare the trixie update for unbound.
  • In collaboration with Lukas M rdian, Tobias Frost prepared trixie and bookworm updates for log4cxx, the C++ port of the logging framework for JAVA.
  • Jochen Sprickerhof prepared a bookworm update for syslog-ng.
  • Utkarsh completed the bookworm update for wordpress, addressing multiple security issues in the popular blogging tool.
Beyond security updates, there has been a significant effort in revamping our documentation, aiming to make the processes more clear and consistent for all the members of the team. This work was mainly carried out by Sylvain, Jochen and Roberto. We would like to express our gratitude to the sponsors for making the Debian LTS project possible. Also, special thanks to the fellows outside the LTS team for their valuable help.

Individual Debian LTS contributor reports

Thanks to our sponsors Sponsors that joined recently are in bold.

15 December 2025

Russ Allbery: Review: Brigands & Breadknives

Review: Brigands & Breadknives, by Travis Baldree
Series: Legends & Lattes #3
Publisher: Tor
Copyright: 2025
ISBN: 1-250-33489-6
Format: Kindle
Pages: 325
Brigands & Breadknives is a secondary-world sword-and-sorcery fantasy and a sequel to both Legends & Lattes and Bookshops & Bonedust. It takes place shortly after Legends & Lattes chronologically, but Fern, the protagonist, was introduced in the Bookshops & Bonedust prequel. You may have noticed I didn't describe this as cozy fantasy. That is intentional. When we left Fern at the end of Bookshops & Bonedust, the rattkin was running a bookshop in the town of Murk. As Brigands & Breadknives opens, Fern is moving, for complicated and hard-to-describe personal reasons, to Thune where Viv has her coffee shop. Her plan is to open a new bookstore next door to Legends and Lattes. This is exactly the sort of plot one might expect from this series, and the first few chapters feel like yet another version of the first two novels. Then Fern makes an impulsive and rather inexplicable (even to herself) decision and the plot goes delightfully sideways. Brigands & Breadknives is not, as Baldree puts it in the afterword, a book about fantasy small-business ownership as the answer to all of life's woes. It is, instead, a sword and sorcery story about a possibly immortal elven bounty hunter, her utterly baffling goblin prisoner, and a rattkin bookseller who becomes their unexpected travel companion for reasons she can't explain. It's a story about a mid-life crisis in a world and with supporting characters that I can only describe as inspired by a T. Kingfisher novel. Baldree is not Ursula Vernon, of course. This book does not contain paladins or a romance, possibly to the relief of some readers. It's slower, a bit more introspective, and doesn't have as sharp of edges or the casual eerie unsettlingness. But there is a religious order that worships a tentacled space horror for entirely unexpected reasons, pompous and oleaginous talking swords with verbose opinions about everything, a mischievously chaotic orange-haired goblin who quickly became one of my favorite fantasy characters and then kept getting better, and a whole lot of heart. You may see why Kingfisher was my first thought for a comparison point. Unlike Baldree's previous novels, there is a lot of combat and injury. I think some people will still describe this book as cozy, and I'm not going to argue too strongly because the conflicts are a bit lighter than the sort of rape and murder one would see in a Mercedes Lackey novel. But to me this felt like sword and sorcery in a Dungeons and Dragons universe made more interesting by letting the world-building go feral and a little bit sarcastic. Most of the book is spent traveling, there are a lot of random encounters that build into a connected plot, and some scenes (particularly the defense of the forest village) felt like they could have sold to the Swords and Sorceress anthology series. Also, this was really good! I liked both Legends & Lattes and Bookshops & Bonedust, maybe a bit more than the prevailing opinion among reviewers since the anachronisms never bothered me, but I wasn't sure whether to dive directly into this book because I was expecting more of the same. This is not more of the same. I think it's clearly better writing and world-building than either of the previous books. It helps that Fern is the protagonist; as much as I like Viv, I think Fern is a more interesting character, and I am glad she got a book of her own. Baldree takes a big risk on the emotional arc of this book. Fern starts the story in a bad state and makes some decisions to kick off the plot that are difficult to defend. She beats herself up for those decisions for most of the book, deservedly, and parts of that emotional turmoil are difficult to read. Baldree resists the urge to smooth everything over and instead provides a rather raw sense of depression, avoidance, and social anxiety that some readers are going to have to brace themselves for. I respect the decision to not write the easy series book people probably expected, but I'm not sure Fern's emotional arc quite worked. Baldree is hinting at something that's hard to describe logically, and I'm not sure he was able to draw a clear enough map of Fern's thought process for the reader to understand her catharsis. The "follow your passion" self-help mindset has formed a gravitational singularity in the vicinity of this book's theme, it takes some skillful piloting to avoid being sucked into its event horizon, and I don't think Baldree quite managed to escape it. He made a valiant attempt, though, and it created a far more interesting book than one about safer emotions. I wanted more of an emotional payoff than I got, but the journey, even with the moments of guilt and anxiety, was so worth it. The world-building is funnier and more interesting than the previous books of the series, and the supporting cast is fantastic. If you bailed on the series but you like sword and sorcery and T. Kingfisher novels, consider returning. You do probably need to read Bookshops & Bonedust first, if you haven't already, since it helps to know the start of Fern's story. Recommended, and shortcomings aside, much better than I had expected. Content notes: Bloody sword fights, major injury, some very raw emotions about letting down friends and destroying friendships. Rating: 8 out of 10

14 December 2025

Dirk Eddelbuettel: BH 1.90.0-1 on CRAN: New Upstream

Boost Boost is a very large and comprehensive set of (peer-reviewed) libraries for the C++ programming language, containing well over one hundred individual libraries. The BH package provides a sizeable subset of header-only libraries for (easier, no linking required) use by R. It is fairly widely used: the (partial) CRAN mirror logs (aggregated from the cloud mirrors) show over 41.5 million package downloads. Version 1.90.0 of Boost was released a few days ago following the regular Boost release schedule of April, August and December releases. As before, we packaged it almost immediately and started testing following our annual update cycle which strives to balance being close enough to upstream and not stressing CRAN and the user base too much. The reverse depends check revealed only one really minor issue among the over three hundred direct reverse dependencies. And that issue was addressed yesterday within hours by a truly responsove maintainer (and it helped that a related issue had been addressed months earlier with version 1.89.). So big thanks to Jean-Romain Roussel for the prompt fix, and to Andrew Johnson for the earlier test with 1.89.0. As last year with 1.87.0, no new Boost libraries were added to BH so the (considerable) size is more or less unchanged. It lead to CRAN doing a manual inspection but as there were no other issues it sailed through as is now in the CRAN repository. The short NEWS entry follows.

Changes in version 1.90.0-1 (2025-12-13)
  • Upgrade to Boost 1.90.0, patched as usual to comment-out diagnostic suppression messages per the request of CRAN
  • Minor upgrades to continuous integration

Via my CRANberries, there is a diffstat report relative to the previous release. Comments and suggestions about BH are welcome via the issue tracker at the GitHub repo.

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.

11 December 2025

Dirk Eddelbuettel: #056: Running r-ci with R-devel

Welcome to post 56 in the R4 series. The recent post #54 reviewed a number of earlier posts on r-ci, our small (but very versatile) runner for continunous integration (CI) with R. The post also introduced the notion of using a container in the matrix of jobs defined and running in parallel. The initial motivation was the (still ongoing, and still puzzling) variation in run-times of GitHub Actions. So when running CI and relying on r2u for the fast, easy, reliable: pick all three! provision of CRAN packages as Ubuntu binaries, a small amount of time is spent prepping a basic Ubuntu instance with the necessary setup. This can be as fast as maybe 20 to 30 seconds, but it can also stretch to almost two minutes when GitHub is busier or out of sorts for other reasons. When the CI job itself is short, that is a nuisance. We presented relying on a pre-made r2u4ci container that adds just a few commands to the standard r2u container to be complete for CI. And with that setup CI runs tend to be reliably faster. This situation is still evolving. I have not converted any of my existing CI scripts (apart from a test instance or two), but I keep monitoring the situation. However, this also offered another perspective: why not rely on a different container for a different CI aspect? When discussing the CI approach with Jeff the other day (and helping add CI to his mmap repo), it occurred to me we could also use on of the Rocker containers for R-devel. A minimal change to the underlying run.sh script later, this was accomplished. An example is provided as both a test and an illustration in the repo for package RcppInt64 in its script ci.yaml:
    strategy:
      matrix:
        include:
          -   name: container, os: ubuntu-latest, container: rocker/r2u4ci  
          -   name: r-devel,   os: ubuntu-latest, container: rocker/drd  
          -   name: macos,     os: macos-latest  
          -   name: ubuntu,    os: ubuntu-latest  

    runs-on: $  matrix.os  
    container: $  matrix.container  
This runs both a standard Ubuntu setup (fourth entry) and the alternate just described relying on the container (first entry) along with the (usually commented-out) optional macOS setup (third entry). And line two brings the drd container from Rocker. The CI runner script now checks for a possible Rdevel binary as provided inside drd (along with alias RD) and uses it when present. And that is all that there is: no other change on the user side; tests now run under R-devel. You can see some of the initial runs at the rcppint64 repo actions log. Another example is now also at Jeff s mmap repo. It should be noted that this relies on R-devel running packages made with R-release. Every few years this breaks when R needs to break its binary API. If and when that happens this option will be costlier as the R-devel instance will then have to (re-)install its R package dependencies. This can be accomodated easily as a step in the yaml file. And under normal circumstances it is not needed. Having easy access to recent builds of R-devel (the container refreshes weekly on a schedule) with the convenience of r2u gives another option for package testing. I may continue to test locally with R-devel as my primary option, and most likely keep my CI small and lean (usually just one R-relase run on Ubuntu) but having another option at GitHub Actions is also a good thing.

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.

7 December 2025

Vincent Bernat: Compressing embedded files in Go

Go s embed feature lets you bundle static assets into an executable, but it stores them uncompressed. This wastes space: a web interface with documentation can bloat your binary by dozens of megabytes. A proposition to optionally enable compression was declined because it is difficult to handle all use cases. One solution? Put all the assets into a ZIP archive!

Code The Go standard library includes a module to read and write ZIP archives. It contains a function that turns a ZIP archive into an io/fs.FS structure that can replace embed.FS in most contexts.1
package embed
import (
  "archive/zip"
  "bytes"
  _ "embed"
  "fmt"
  "io/fs"
  "sync"
)
//go:embed data/embed.zip
var embeddedZip []byte
var dataOnce = sync.OnceValue(func() *zip.Reader  
  r, err := zip.NewReader(bytes.NewReader(embeddedZip), int64(len(embeddedZip)))
  if err != nil  
    panic(fmt.Sprintf("cannot read embedded archive: %s", err))
   
  return r
 )
func Data() fs.FS  
  return dataOnce()
 
We can build the embed.zip archive with a rule in a Makefile. We specify the files to embed as dependencies to ensure changes are detected.
common/embed/data/embed.zip: console/data/frontend console/data/docs
common/embed/data/embed.zip: orchestrator/clickhouse/data/protocols.csv 
common/embed/data/embed.zip: orchestrator/clickhouse/data/icmp.csv
common/embed/data/embed.zip: orchestrator/clickhouse/data/asns.csv
common/embed/data/embed.zip:
    mkdir -p common/embed/data && zip --quiet --recurse-paths --filesync $@ $^
The automatic variable $@ is the rule target, while $^ expands to all the dependencies, modified or not.

Space gain Akvorado, a flow collector written in Go, embeds several static assets:
  • CSV files to translate port numbers, protocols or AS numbers, and
  • HTML, CSS, JS, and image files for the web interface, and
  • the documentation.
Breakdown of space used by each package before and after introducing embed.zip. It is displayed as a treemap and we can see many embedded files replaced by a bigger one.
Breakdown of the space used by each component before (left) and after (right) the introduction of embed.zip.
Embedding these assets into a ZIP archive reduced the size of the Akvorado executable by more than 4 MiB:
$ unzip -p common/embed/data/embed.zip   wc -c   numfmt --to=iec
7.3M
$ ll common/embed/data/embed.zip
-rw-r--r-- 1 bernat users 2.9M Dec  7 17:17 common/embed/data/embed.zip

Performance loss Reading from a compressed archive is not as fast as reading a flat file. A simple benchmark shows it is more than 4 slower. It also allocates some memory.2
goos: linux
goarch: amd64
pkg: akvorado/common/embed
cpu: AMD Ryzen 5 5600X 6-Core Processor
BenchmarkData/compressed-12     2262   526553 ns/op   610 B/op   10 allocs/op
BenchmarkData/uncompressed-12   9482   123175 ns/op     0 B/op    0 allocs/op
Each access to an asset requires a decompression step, as seen in this flame graph:
&#128444; Flame graph when reading data from embed.zip compared to reading data directly
CPU flame graph comparing the time spent on CPU when reading data from embed.zip (left) versus reading data directly (right). Because the Go testing framework executes the benchmark for uncompressed data 4 times more often, it uses the same horizontal space as the benchmark for compressed data. The graph is interactive.
While a ZIP archive has an index to quickly find the requested file, seeking inside a compressed file is currently not possible.3 Therefore, the files from a compressed archive do not implement the io.ReaderAt or io.Seeker interfaces, unlike directly embedded files. This prevents some features, like serving partial files or detecting MIME types when serving files over HTTP.
For Akvorado, this is an acceptable compromise to save a few mebibytes from an executable of almost 100 MiB. Next week, I will continue this futile adventure by explaining how I prevented Go from disabling dead code elimination!

  1. You can safely read multiple files concurrently. However, it does not implement ReadDir() and ReadFile() methods.
  2. You could keep frequently accessed assets in memory. This reduces CPU usage and trades cached memory for resident memory.
  3. SOZip is a profile that enables fast random access in a compressed file. However, Go s archive/zip module does not support it.

4 December 2025

Colin Watson: Free software activity in November 2025

My Debian contributions this month were all sponsored by Freexian. I had a bit less time than usual, because Freexian collaborators gathered in Marseille this month for our yearly sprint, doing some planning for next year. You can also support my work directly via Liberapay or GitHub Sponsors. OpenSSH I began preparing for the second stage of the GSS-API key exchange package split (some details have changed since that message). It seems that we ll need to wait until Ubuntu 26.04 LTS has been released, but that s close enough that it s worth making sure we re ready. This month I just did some packaging cleanups that would otherwise have been annoying to copy, such as removing support for direct upgrades from pre-bookworm. I m considering some other package rearrangements to make the split easier to manage, but haven t made any decisions here yet. This also led me to start on a long-overdue bug triage pass, mainly consisting of applying usertags to lots of our open bugs to sort them by which program they apply to, and also closing a few that have been fixed, since some bugs will eventually need to be reassigned to GSS-API packages and it would be helpful to make them easier to find. At the time of writing, about 30% of the bug list remains to be categorized this way. Python packaging I upgraded these packages to new upstream versions: I packaged django-pgtransaction and backported it to trixie, since we plan to use it in Debusine; and I adopted python-certifi for the Python team. I fixed or helped to fix several other build/test failures: I fixed a couple of other bugs: Other bits and pieces Code reviews

Ben Hutchings: FOSS activity in November 2025

3 December 2025

Reproducible Builds: Reproducible Builds in November 2025

Welcome to the report for November 2025 from the Reproducible Builds project! These monthly reports outline what we ve been up to over the past month, highlighting items of news from elsewhere in the increasingly-important area of software supply-chain security. As always, if you are interested in contributing to the Reproducible Builds project, please see the Contribute page on our website. In this report:

  1. 10 years of Reproducible Build at SeaGL
  2. Distribution work
  3. Tool development
  4. Website updates
  5. Miscellaneous news
  6. Software Supply Chain Security of Web3
  7. Upstream patches

10 years of Reproducible Builds at SeaGL 2025 On Friday 8th November, Chris Lamb gave a talk called 10 years of Reproducible Builds at SeaGL in Seattle, WA. Founded in 2013, SeaGL is a free, grassroots technical summit dedicated to spreading awareness and knowledge about free source software, hardware and culture. Chris talk:
[ ] introduces the concept of reproducible builds, its technical underpinnings and its potentially transformative impact on software security and transparency. It is aimed at developers, security professionals and policy-makers who are concerned with enhancing trust and accountability in our software. It also provides a history of the Reproducible Builds project, which is approximately ten years old. How are we getting on? What have we got left to do? Aren t all the builds reproducible now?

Distribution work In Debian this month, Jochen Sprickerhof created a merge request to replace the use of reprotest in Debian s Salsa Continuous Integration (CI) pipeline with debrebuild. Jochen cites the advantages as being threefold: firstly, that only one extra build needed ; it uses the same sbuild and ccache tooling as the normal build ; and works for any Debian release . The merge request was merged by Emmanuel Arias and is now active. kpcyrd posted to our mailing list announcing the initial release of repro-threshold, which implements an APT transport that defines a threshold of at least X of my N trusted rebuilders need to confirm they reproduced the binary before installing Debian packages. Configuration can be done through a config file, or through a curses-like user interface. Holger then merged two commits by Jochen Sprickerhof in order to address a fakeroot-related reproducibility issue in the debian-installer, and J rg Jaspert deployed a patch by Ivo De Decker for a bug originally filed by Holger in February 2025 related to some Debian packages not being archived on snapshot.debian.org. Elsewhere, Roland Clobus performed some analysis on the live Debian trixie images, which he determined were not reproducible. However, in a follow-up post, Roland happily reports that the issues have been handled. In addition, 145 reviews of Debian packages were added, 12 were updated and 15 were removed this month adding to our knowledge about identified issues. Lastly, Jochen Sprickerhof filed a bug announcing their intention to binary NMU a very large number of the R programming language after a reproducibility-related toolchain bug was fixed.
Bernhard M. Wiedemann posted another openSUSE monthly update for their work there.
Julien Malka and Arnout Engelen launched the new hash collection server for NixOS. Aside from improved reporting to help focus reproducible builds efforts within NixOS, it collects build hashes as individually-signed attestations from independent builders, laying the groundwork for further tooling.

Tool development diffoscope version 307 was uploaded to Debian unstable (as well as version 309). These changes included further attempts to automatically attempt to deploy to PyPI by liaising with the PyPI developers/maintainers (with this experimental feature). [ ][ ][ ] In addition, reprotest versions 0.7.31 and 0.7.32 were uploaded to Debian unstable by Holger Levsen, who also made the following changes:
  • Do not vary the architecture personality if the kernel is not varied. (Thanks to Ra l Cumplido). [ ]
  • Drop the debian/watch file, as Lintian now flags this as error for native Debian packages. [ ][ ]
  • Bump Standards-Version to 4.7.2, with no changes needed. [ ]
  • Drop the Rules-Requires-Root header as it is no longer required.. [ ]
In addition, however, Vagrant Cascadian fixed a build failure by removing some extra whitespace from an older changelog entry. [ ]

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

Miscellaneous news

Software Supply Chain Security of Web3 Via our mailing list, Martin Monperrus let us know about their recently-published page on the Software Supply Chain Security of Web3. The abstract of their paper is as follows:
Web3 applications, built on blockchain technology, manage billions of dollars in digital assets through decentralized applications (dApps) and smart contracts. These systems rely on complex, software supply chains that introduce significant security vulnerabilities. This paper examines the software supply chain security challenges unique to the Web3 ecosystem, where traditional Web2 software supply chain problems intersect with the immutable and high-stakes nature of blockchain technology. We analyze the threat landscape and propose mitigation strategies to strengthen the security posture of Web3 systems.
Their paper lists reproducible builds as one of the mitigating strategies. A PDF of the full text is available to download.

Upstream patches The Reproducible Builds project detects, dissects and attempts to fix as many currently-unreproducible packages as possible. We endeavour to send all of our patches upstream where appropriate. 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:

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