Search Results: "cts"

14 February 2017

Julian Andres Klode: jak-linux.org moved / backing up

In the past two days, I moved my main web site jak-linux.org (and jak-software.de) from a very old contract at STRATO over to something else: The domains are registered with INWX and the hosting is handled by uberspace.de. Encryption is provided by Let s Encrypt. I requested the domain transfer from STRATO on Monday at 16:23, received the auth codes at 20:10 and the .de domain was transferred completely on 20:36 (about 20 minutes if you count my overhead). The .org domain I had to ACK, which I did at 20:46 and at 03:00 I received the notification that the transfer was successful (I think there was some registrar ACKing involved there). So the whole transfer took about 10 1/2 hours, or 7 hours since I retrieved the auth code. I think that s quite a good time  And, for those of you who don t know: uberspace is a shared hoster that basically just gives you an SSH shell account, directories for you to drop files in for the http server, and various tools to add subdomains, certificates, virtual users to the mailserver. You can also run your own custom build software and open ports in their firewall. That s quite cool. I m considering migrating the blog away from wordpress at some point in the future having a more integrated experience is a bit nicer than having my web presence split over two sites. I m unsure if I shouldn t add something like cloudflare there I don t want to overload the servers (but I only serve static pages, so how much load is this really going to get?). in other news: off-site backups I also recently started doing offsite backups via borg to a server operated by the wonderful rsync.net. For those of you who do not know rsync.net: You basically get SSH to a server where you can upload your backups via common tools like rsync, scp, or you can go crazy and use git-annex, borg, attic; or you could even just plain zfs send your stuff there. The normal price is $0.08 per GB per month, but there is a special borg price of $0.03 (that price does not include snapshotting or support, really). You can also get a discounted normal account for $0.04 if you find the correct code on Hacker News, or other discounts for open source developers, students, etc. you just have to send them an email. Finally, I must say that uberspace and rsync.net feel similar in spirit. Both heavily emphasise the command line, and don t really have any fancy click stuff. I like that.
Filed under: General

Reproducible builds folks: Reproducible Builds: week 94 in Stretch cycle

Here's what happened in the Reproducible Builds effort between Sunday February 5 and Saturday February 11 2017: Upcoming events Patches sent upstream Packages reviewed and fixed, and bugs filed Chris Lamb: Daniel Shahaf: "Z. Ren": Reviews of unreproducible packages 83 package reviews have been added, 8 have been updated and 32 have been removed in this week, adding to our knowledge about identified issues. 5 issue types have been added: 1 issue type has been updated: Weekly QA work During our reproducibility testing, the following FTBFS bugs have been detected and reported by: diffoscope development diffoscope versions 71, 72, 73, 74 & 75 were uploaded to unstable by Chris Lamb: strip-nondeterminism development strip-nondeterminism 0.030-1 was uploaded to unstable by Chris Lamb: buildinfo.debian.net development reproducible-website development Misc. This week's edition was written by Chris Lamb & reviewed by a bunch of Reproducible Builds folks on IRC & the mailing lists.

13 February 2017

Vincent Sanders: The minority yields to the majority!

Deng Xiaoping (who succeeded Mao) expounded this view and obviously did not depend on a minority to succeed. In open source software projects we often find ourselves implementing features of interest to a minority of users to keep our software relevant to a larger audience.

As previously mentioned I contribute to the NetSurf project and the browser natively supports numerous toolkits for numerous platforms. This produces many challenges in development to obtain the benefits of a more diverse user base. As part of the recent NetSurf developer weekend we took the opportunity to review all the frontends to make a decision on their future sustainability.

Each of the nine frontend toolkits were reviewed in turn and the results of that discussion published. This task was greatly eased because we we able to hold the discussion face to face, over time I have come to the conclusion some tasks in open source projects greatly benefit from this form of interaction.

Netsurf running on windows showing this blog post
Coding and day to day discussions around it can be easily accommodated va IRC and email. Decisions affecting a large area of code are much easier with the subtleties of direct interpersonal communication. An example of this is our decision to abandon the cocoa frontend (toolkit used on Mac OS X) against that to keep the windows frontend.

The cocoa frontend was implemented by Sven Weidauer in 2011, unfortunately Sven did not continue contributing to this frontend afterwards and it has become the responsibility of the core team to maintain. Because NetSuf has a comprehensive CI system that compiles the master branch on every commit any changes that negatively affected the cocoa frontend were immediately obvious.

Thus issues with the compilation were fixed promptly but because these fixes were only ever compile tested and at some point the Mac OS X build environments changed resulting in an application that crashes when used. Despite repeatedly asking for assistance to fix the cocoa frontend over the last eighteen months no one had come forward.

And when the topic was discussed amongst the developers it quickly became apparent that no one had any objections to removing the cocoa support. In contrast the windows frontend, which despite having many similar issues to cocoa, we decided to keep. These were almost immediate consensus on the decision, despite each individual prior to the discussion not advocating any position.

This was a single example but it highlights the benefits of a disparate development team having a physical meeting from time to time. However this was not the main point I wanted to discuss, this incident highlights that supporting a feature only useful to a minority of users can have a disproportionate cost.

The cost of a feature for an open source project is usually a collection of several factors:
Developer time
Arguably the greatest resource of a project is the time its developers can devote to it. Unless it is a very large, well supported project like the Kernel or libreoffice almost all developer time is voluntary.
Developer focus
Any given developer is likely to work on an area of code that interests them in preference to one that does not. This means if a developer must do work which does not interest them they may loose focus and not work on the project at all.
Developer skillset
A given developer may not have the skillset necessary to work on a feature, this is especially acute when considering minority platforms which often have very, very few skilled developers available.
Developer access
It should be obvious that software that only requires commodity hardware and software to develop is much cheaper than that which requires special hardware and software. To use our earlier example the cocoa frontend required an apple computer running MAC OS X to compile and test, this resource was very limited and the project only had access to two such systems via remote desktop. These systems also had to serve as CI builders and required physical system administration as they could not be virtualized.
Support
Once a project releases useful software it generally gains users outside of the developers. Supporting users consumes developer time and generally causes them to focus on things other than code that interests them.

While most developers have enough pride in what they produce to fix bugs, users must always remember that the main freedom they get from OSS is they recived the code and can change it themselves, there is no requirement for a developer to do anything for them.
Resources
A project requires a website, code repository, wiki, CI systems etc. which must all be paid for. Netsurf for example is fortunate to have Pepperfish look after our website hosting at favorable rates, Mythic beasts provide exceptionally good rates for the CI system virtual machine along with hardware donations (our apple macs were donated by them) and Collabora for providing physical hosting for our virtual machine server.

Despite these incredibly good deals the project still spends around 200gbp (250usd) a year on overheads, these services obviously benefit the whole project including minority platforms but are generally donated by users of the more popular platforms.
The benefits of a feature are similarly varied:
Developer learning
A developer may implement a feature to allow them to learn a new technology or skill
Project diversity
A feature may mean the project gets built in a new environment which reveals issues or opportunities in unconnected code. For example the Debian OS is built on a variety of hardware platforms and sometimes reveals issues in software by compiling it on big endian systems. These issues are often underlying bugs that are causing errors which are simply not observed on a little endian platform.
More users
Gaining users of the software is often a benefit and although most OSS developers are contributing for personal reasons having their work appreciated by others is often a factor. This might be seen as the other side of the support cost.

In the end the maintainers of a project often have to consider all of these factors and more to arrive at a decision about a feature, especially those only useful to a minority of users. Such decisions are rarely taken lightly as they often remove another developers work and the question is often what would I think about my contributions being discarded?

As a postscript, if anyone is willing to pay the costs to maintain the NetSurf cocoa frontend I have not removed the code just yet.

Dirk Eddelbuettel: RcppTOML 0.1.1

Following up on the somewhat important RcppTOML 0.1.0 releaseas which brought RcppTOML to Windows, we have a first minor update 0.1.1. Two things changed: once again updated upstream code from Chase Geigle's cpptoml which now supports Date types too, and we added the ability to parse TOML from strings as opposed to only from files. TOML is a file format that is most suitable for configurations, as it is meant to be edited by humans but read by computers. It emphasizes strong readability for humans while at the same time supporting strong typing as well as immediate and clear error reports. On small typos you get parse errors, rather than silently corrupted garbage. Much preferable to any and all of XML, JSON or YAML -- though sadly these may be too ubiquitous now.
TOML is making good inroads with newer and more flexible projects such as the Hugo static blog compiler, or the Cargo system of Crates (aka "packages") for the Rust language.

Changes in version 0.1.1 (2017-xx-yy)
  • Synchronized multiple times with ccptoml upstream adding support for local datetime and local date and more (PR #9, #10, PR #11)
  • Dates are now first class types, some support for local versus UTC times was added (though it may be adviseable to stick with UTC)
  • Parsing from (R) character variables is now supported as well
  • Output from print.toml no longer prints extra newlines

Courtesy of CRANberries, there is a diffstat report for this release. More information and examples are on the RcppTOML page. Issues and bugreports should go to the GitHub issue tracker.

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

12 February 2017

Stefano Zacchiroli: Opening the Software Heritage archive

... one API (and one FOSDEM) at a time [ originally posted on the Software Heritage blog, reposted here with minor adaptations ] Last Saturday at FOSDEM we have opened up the public API of Software Heritage, allowing to programmatically browse its archive. We posted this while I was keynoting with Roberto at FOSDEM 2017, to discuss the role Software Heritage plays in preserving the Free Software commons. To accompany the talk we released our first public API, which allows to navigate the entire content of the Software Heritage archive as a graph of connected development objects (e.g., blobs, directories, commits, releases, etc.). Over the past months we have been busy working on getting source code (with full development history) into the archive, to minimize the risk that important bits of Free/Open Sources Software that are publicly available today disappear forever from the net, due to whatever reason --- crashes, black hat hacking, business decisions, you name it. As a result, our archive is already one of the largest collections of source code in existence, spanning a GitHub mirror, injections of important Free Software collections such as Debian and GNU, and an ongoing import of all Google Code and Gitorious repositories. Up to now, however, the archive was deposit-only. There was no way for the public to access its content. While there is a lot of value in archival per se, our mission is to Collect, Preserve, and Share all the material we collect with everybody. Plus, we totally get that a deposit-only library is much less exciting than a store-and-retrieve one! Last Saturday we took a first important step towards providing full access to the content of our archive: we released version 1 of our public API, which allows to navigate the Software Heritage archive programmatically. You can have a look at the API documentation for full details about how it works. But to briefly recap: conceptually, our archive is a giant Merkle DAG connecting together all development-related objects we encounter while crawling public VCS repositories, source code releases, and GNU/Linux distribution packages. Examples of the objects we store are: file contents, directories, commits, releases; as well as their metadata, such as: log messages, author information, permission bits, etc. The API we have just released allows to pointwise navigate this huge graph. Using the API you can lookup individual objects by their IDs, retrieve their metadata, and jump from one object to another following links --- e.g., from a commit to the corresponding directory or parent commits, from a release to the annotated commit, etc. Additionally, you can retrieve crawling-related information, such as the software origins we track (usually as VCS clone/checkout URLs), and the full list of visits we have done on any known software origin. This allows, for instance, to know when we took snapshots of a Git repository you care about and, for each visit, where each branch of the repo was pointing to at that time. Our resources for offering the API as a public service are still quite limited. This is the reason why you will encounter a couple of limitations. First, no download of the actual content of files we have stored is possible yet --- you can retrieve all content-related metadata (e.g., checksums, detected file types and languages, etc.), but not the actual content as a byte sequence. Second, some pretty severe rate limits apply; API access is entirely anonymous and users are identified by their IP address, each "user" will be able to do a little bit more than 100 requests/hour. This is to keep our infrastructure sane while we grow in capacity and focus our attention to developing other archive features. If you're interested in having rate limits lifted for a specific use case or experiment, please contact us and we will see what we can do to help. If you'd like to contribute to increase our resource pool, have a look at our sponsorship program!

Elena 'valhalla' Grandi: Mobile-ish devices as freedom respecting working environments

Mobile-ish devices as freedom respecting working environments

On planet FSFE, there is starting to be a conversation on using tablets / Android as the main working platform.

It started with the article by Henri Bergius http://bergie.iki.fi/blog/working-on-android-2017/ which nicely covers all practical points, but is quite light on the issues of freedom.

This was rectified by the article by David Boddie http://www.boddie.org.uk/david/www-repo/Personal/Updates/2017/2017-02-11.html which makes an apt comparison of Android to the platform it is replacing in many areas of work and life: Microsoft Windows and criticises its lack of effective freedom, even when the OS was supposed to be under a free license.

I fully agree that lightweight/low powered hardware can be an excellent work environment, especially when on the go, and even for many kinds of software developement, but I'd very much rather have that hardware run an environment that I can trust like Debian (or another traditional GNU/Linux distribution) rather than the phone based ones where, among other problems, there is no clear distinction between what is local and trustable and what is remote and under somebody else's control.

In theory, it would be perfectly possible to run Debian on most tablet and tablet-like hardware, and have such an environment; in practice this is hard for a number of reasons including the lack of mainline kernel support for most hardware and the way actually booting a different OS on it usually ranges from the quite hard to the downright impossible.

Luckily, there is some niche hardware that uses tablet/phone SoCs but is sold with a GNU/Linux distribution and can be used as a freedom respecting work environment on-the-go: my current setup includes an OpenPandora https://en.wikipedia.org/wiki/Pandora_(console) (running Angstrom + a Debian chroot) and an Efika MX Smartbook https://en.wikipedia.org/wiki/Efika, but they are both showing their age badly: they have little RAM (especially the Pandora), and they aren't fully supported by a mainline kernel, which means that you're stuck on an old kernel and dependent on the producer for updates (which for the Efika ended quite early; at least the Pandora is still somewhat supported, at least for bugfixes).

Right now I'm looking forward to two devices as a replacement: the DragonBox Pyra https://en.wikipedia.org/wiki/DragonBox_Pyra (still under preorders) and the THERES-I laptop kit https://www.olimex.com/Products/DIY%20Laptop/ (hopefully available for sale "in a few months", and with no current mainline support for the SoC, but there is hope to see it from the sunxi community http://linux-sunxi.org/Main_Page).

As for software, the laptop/clamshell designs means that using a regular Desktop Environment (or, in my case, Window Manager) works just fine; I do hope that the availability of Pyra (with its touchscreen and 4G/"phone" chip) will help to give a bit of life back to the efforts to improve mobile software on Debian https://wiki.debian.org/Mobile

Hopefully, more such devices will continue to be available, and also hopefully the trend for more openness of the hardware itself will continue; sadly I don't see this getting outside of a niche market in the next few years, but I think that this niche will remain strong enough to be sustainable.

P.S. from nitpicker-me: David Boddie mentions the ability to easily download sources for any component with apt-get source: the big difference IMHO is given by apt-get build-dep, which also install every dependency needed to actually build the code you have just downloaded.

P.S.2: I also agree with Davide Boddie that supporting Conservancy https://sfconservancy.org/supporter/ is very important, and there are still a few hours left to have the contribution count twice.

Iustin Pop: Fine art printing at home

Fine art printing at home It is very interesting how people change over time. Way back in the analog film era, I was using a very cheap camera, and getting the film developed and pictures printed at random places in town. As the movement towards digital began, I started dreaming of a full digital workflow take picture, download from camera, enjoy on your monitor. No more pesky physical stuff. And when I finally got a digital camera, I was oh-so-happy to finally get rid of films and prints. But time passes, and a few years back though, at the end of 2013, I had the misfortune to learn on various photography forums that, within certain limits, one can do high quality printing at home quality high enough for serious prints. I always imagined that "serious" prints can only happen on big, professional stuff, but to my surprise, what I was reading was that many professional photographers can do their prints themselves (for certain paper sizes). I tried before printing photos on my laser printer that I wrote about, but that is a hilarious exercise, nothing more. Thinking process was pretty simple: So I decided to get a photo printer. Because hey, one more printer was the thing I was missing the most. Ink The think with inkjet photo printers is that the bigger they are, the more cheaper the ink is, and the more optimised they are for large volume printing. The more optimisation for large volume, the worse the printers do if you don't print often enough, in the sense of dried ink. This means clogged heads, and each of the serious printer manufacturers (Canon, Epson, HP) deal in different ways with it; some by having extra, spare lines in the print head that replace the clogged ones, others have replaceable printer heads, others rely on wasting ink by trying to flush the ink lines, etc. Also within each manufacturer's lines, different printers behave differently. So one must take this into account how often will you print? Of course I thought very often, but the truth is, this is just another hobby, so time is lacking, and I have weeks going by without turning the printer on. And so, I did have some problems with dried ink, but minor I'd say; I only had once to run a "power cleaning", when due to real world I didn't have time to turn the printer on for months; I managed to choose a good printer in this regard. I never though computed how much ink I wasted with cleaning the heads Paper Another issue with printing is the fact that the result is a physical object, outside of the digital realm. And the transition from digital to physical is tricky. First, the printer itself and the ink are one relatively straightforward choice: decide (by whatever criteria you want) on the printer, and most printers at this level have one set of inks only. But the problem is: which paper? And as I learned, since how the paper looks is a subjective thing, this is an endless topic As you can see, this is really a bottomless pit. I made the mistake of buying lots of sample packs, thinking that settling on a specific paper will be an objective process, but no. Three years later, I have a few favourite papers, but I'm sure I could have almost randomly chosen them (read 3 reviews, choose) and not gotten objectively different results. ICC profiles and processing Another thing is that simply having the printer and the paper doesn't mean everything is fixed. Since printers are analog devices, there needs to be a printer and paper specific colour profile, so that you get (on paper) what you see on the screen (which also needs to be calibrated). So when choosing the printer you should be careful to choose one which is common enough that it has profiles, ideally profiles done by the paper manufacturer themselves. Or, you can go the more basic route, and calibrate the printer/paper combination yourself! I skipped that part though. However you get a profile, if you tell your photo processing application what is your display profile and your printer+paper profile, ideally you what you see is what you get, this time for real. Except that sometimes the gamut of colours in the picture can't be represented entirely in either the display nor the printer profile, so the display is an approximation, but a different one than your printer will do on paper. So you learn about relative and perceptual colorimetric conversions, and you read many blog posts about which one to use for what type of pictures (portraits have different needs than landscapes), and you wonder why did you chose this hobby? Of course, you can somewhat avoid the previous two issues by going more old-school to black and white printing. This should be simple, right? Black and white, nothing more. Hah, you wish. Do you do the B&W conversion in your photo processing application, or in your printer? Some printers are renowned by their good B&W conversions, some not. If you print B&W, then the choice of papers also change, because some papers are just awesome at B&W, but only so-so for colours. So says the internet, at least. But even if you solve all of the above, don't give up just yet, because there is still a little problem. Even if you send the right colours to the printer, the way a certain picture looks on paper is different than on screen. This circles somewhat back to paper choice (glossy type ink having deeper blacks than matte, for example) and colour-vs-b&w, but is a general issue: displays have better contrasts than paper (this doesn't mean the pictures are better looking on screen though). So you use the soft-proofing function, but it looks completely weird, and you learn that you need to learn how specific papers will differ from screen, and that sometimes you don't need any adjustment, sometimes you need a +15, which might mean another run of the same print. You print, then what? So you print. Nice, high quality print. All colours perfect! And then what? First, you wait. Because ink, as opposed to laser toner, is not "done" once the paper is out of the printer. It has to dry, which is a process taking about 24 hours in its initial phase, and which you help along by doing some stuff. The ink settles during this time in the paper, and only after that you know what the final look of the print will be. Depending on what you plan to do with the print, you might want to lay a layer of protective stuff on top of it; a kind of protective film that will keep it in better shape over time, but which has the downside that a) it must definitely be applied after the ink has dried and the the paper has for sure finished outgassing and b) it's a semi-hard layer, so you can roll the paper anymore (if you were planning to do that for transport). Or you say damn it, this is anyway a poor picture So with the print all good and really in its final state, you go on and research what solutions are there for hanging prints at home. And look at frames, and think about behind-glass framing or no glass-framing, and and and and you realise that if you just printed your photos at a lab, they'd come directly framed! I still have the really minimalist hanging solution that I bought a year ago unpacked Getting there, sometime! Costs/economic sense If you think all this effort is done in order to save money on prints, the answer is "Ha ha ha" While professional prints at a lab are expensive, how much do you think all the above (printer, inks, paper, framing, TIME) costs? A lot. It's definitely not worth unless your day job is photography. No, for me it was more the desire to own the photographic process from start to end: learn enough to be able to choose everything (camera which implies sensor which implies a lot of things, lens, post-processing, printer/ink, paper), and see (and have) the end result of your work in your hands. Is it worth all the trouble? Fast forward three years later, I still have the printer, although many times I was thinking of getting rid of it. It takes space, it costs some money (although you don't realise this as you print, since you already sunk the money in consumables), it takes time. Being able to print small photos for family (e.g. 10 15) is neat, but a small printer can do this as well, or you can order prints online, or print them from a memory card at many places. Being able to print A4-size (for which framing for e.g. desk-use is a pain) is also neat, but here there are still simpler solutions than your own big printer. The difference is when you print large. You look at the picture on your big screen, you think/imagine how it will look printer, and then you fire an A2 print. The printer starts, makes noises for about 10 minutes, and then you have the picture in your hands. The ink is still fresh (you know it takes 24 hours to settle), and has that nice ink smell that you don't get anymore in day to day life. With a good paper and a good printer, the way the picture looks is so special, that all the effort seems trivial now. I don't know how looking at pictures on an 8K 30+ inch monitor will be; but there's an indescribable difference between back-lighted LCD and paper for the same picture. Even at the same relative size, the paper is real, while the picture is virtual. You look at the people in the picture on your display, whereas the people in the print look at you. Maybe this is just size. A2 is bigger than my monitor wait, no. A2 has a diagonal of ~29 inches (vs. the display at 30"). Maybe it's resolution? An A2 print out of D810 is small enough to still have good resolution (it's about 320dpi after the small cropping needed for correcting the aspect ratio, which matches the printer's native 360dpi resolution). Coupled with a good printer, it's more than high enough resolution that even with a loupe, there's enough detail in the picture to not see its "digital" history (i.e. no rasterization, no gradients, etc.) Note that 360dpi for photo inkjet printers is much different from 600-1200dpi for laser printers (which are raster-based, not ink droplet based, so it's really not comparable). In any case, the print, even at this (relatively large) size, feels like a reflection of reality. On the monitor, it still feels like a digital picture. I could take a picture of the print to show you, but that would defeat the point, wouldn't it And this is what prompted this blog post. I had a pretty intense week at work, so when the weekend came, I was thinking what to do to disconnect and relax. I had a certain picture (people, group photo) that I wanted to print for a while, and it was OK on the screen, but not special. I said, somewhat not very enthusiastic, let's print it. And as the printer was slowly churning along, and the paper was coming out, I remembered why I don't get rid of the printer. Because every time I think about doing that, I say to myself "let's do one more print", which quickly turns into "wow, not, I'm keeping it". Because, even as our life migrates into the digital/virtual realm or maybe more so we're still living in the real world, and our eyes like to look at real objects. And hey, on top of that, it was and still is a pretty intense learning experience!

11 February 2017

Reproducible builds folks: Reproducible Builds: week 93 in Stretch cycle

Here's what happened in the Reproducible Builds effort between Sunday January 29 and Saturday February 4 2017: Media coverage Dennis Gilmore and Holger Levsen presented "Reproducible Builds and Fedora" (Video, Slides) at Devconf.cz on February 27th 2017. On February 1st, stretch/armhf reached 90% reproducible packages in our test framework, so that now all four tested architectures are 90% reproducible in stretch. Yay! For armhf this means 22472 reproducible source packages (in main); for amd64, arm64 and i386 these figures are 23363, 23062 and 22607 respectively. Chris Lamb appeared on the Changelog podcast to talk about reproducible builds: Holger Levsen pitched Reproducible Builds and our need for a logo in the "Open Source Design" room at FOSDEM 2017 (Video, 09:36 - 12:00). Upcoming Events Reproducible work in other projects We learned that the "slightly more secure" Heads firmware (a Coreboot payload) is now reproducibly built regardless of host system or build directory. A picture says more than a thousand words: reproducible heads build on two machines Docker started preliminary work on making image builds reproducible. Toolchain development and fixes Ximin Luo continued to write code and test cases for the BUILD_PATH_PREFIX_MAP environment variable. He also did extensive research on cross-platform and cross-language issues with enviroment variables, filesystem paths, and character encodings, and started preparing a draft specification document to describe all of this. Chris Lamb asked CPython to implement an environment variable PYTHONREVERSEDICTKEYORDER to add an an option to reverse iteration order of items in a dict. However this was rejected because they are planning to formally fix this order in the next language version. Bernhard Wiedemann and Florian Festi added support for our SOURCE_DATE_EPOCH environment variable, to the RPM Package Manager. James McCoy uploaded devscripts 2.17.1 with a change from Guillem Jover for dscverify(1), adding support for .buildinfo files. (Closes: #852801) Piotr O arowski uploaded dh-python 2.20170125 with a change from Chris Lamb for a patch to fix #835805. Chris Lamb added documentation to diffoscope, strip-nondeterminism, disorderfs, reprotest and trydiffoscope about uploading signed tarballs when releasing. He also added a link to these on our website's tools page. Packages reviewed and bugs filed Bugs filed: Reviews of unreproducible packages 83 package reviews have been added, 86 have been updated and 276 have been removed in this week, adding to our knowledge about identified issues. 2 issue types have been updated: Weekly QA work During our reproducibility testing, the following FTBFS bugs have been detected and reported by: diffoscope development Work on the next version (71) continued in git this week: reproducible-website development Daniel Shahaf added more notes on our "How to chair a meeting" document. tests.reproducible-builds.org Holger unblacklisted pspp and tiledarray. If you think further packages should also be unblacklisted (possibly only on some architectures), please tell us. Misc. This week's edition was written by Ximin Luo, Holger Levsen and Chris Lamb & reviewed by a bunch of Reproducible Builds folks on IRC & the mailing lists.

Noah Meyerhans: Using FAI to customize and build your own cloud images

At this past November's Debian cloud sprint, we classified our image users into three broad buckets in order to help guide our discussions and ensure that we were covering the common use cases. Our users fit generally into one of the following groups:
  1. People who directly launch our image and treat it like a classic VPS. These users most likely will be logging into their instances via ssh and configuring it interactively, though they may also install and use a configuration management system at some point.
  2. People who directly launch our images but configure them automatically via launch-time configuration passed to the cloud-init process on the agent. This automatic configuration may optionally serve to bootstrap the instance into a more complete configuration management system. The user may or may not ever actually log in to the system at all.
  3. People who will not use our images directly at all, but will instead construct their own image based on ours. They may do this by launching an instance of our image, customizing it, and snapshotting it, or they may build a custom image from scratch by reusing and modifying the tools and configuration that we use to generate our images.
This post is intended to help people in the final category get started with building their own cloud images based on our tools and configuration. As I mentioned in my previous post on the subject, we are using the FAI project with configuration from the fai-cloud-images. It's probably a good idea to get familiar with FAI and our configs before proceeding, but it's not necessary. You'll need to use FAI version 5.3.4 or greater. 5.3.4 is currently available in stretch and jessie-backports. Images can be generated locally on your non-cloud host, or on an existing cloud instance. You'll likely find it more convenient to use a cloud instance so you can avoid the overhead of having to copy disk images between hosts. For the most part, I'll assume throughout this document that you're generating your image on a cloud instance, but I'll highlight the steps where it actually matters. I'll also be describing the steps to target AWS, though the general workflow should be similar if you're targeting a different platform. To get started, install the fai-server package on your instance and clone the fai-cloud-images git repository. (I'll assume the repository is cloned to /srv/fai/config.) In order to generate your own disk image that generally matches what we've been distributing, you'll use a command like:
sudo fai-diskimage --hostname stretch-image --size 8G \
--class DEBIAN,STRETCH,AMD64,GRUB_PC,DEVEL,CLOUD,EC2 \
/tmp/stretch-image.raw
This command will create an 8 GB raw disk image at /tmp/stretch-image.raw, create some partitions and filesystems within it, and install and configure a bunch of packages into it. Exactly what packages it installs and how it configures them will be determined by the FAI config tree and the classes provided on the command line. The package_config subdirectory of the FAI configuration contains several files, the names of which are FAI classes. Activating a given class by referencing it on the fai-diskimage command line instructs FAI to process the contents of the matching package_config file if such a file exists. The files use a simple grammar that provides you with the ability to request certain packages to be installed or removed. Let's say for example that you'd like to build a custom image that looks mostly identical to Debian's images, but that also contains the Apache HTTP server. You might do that by introducing a new file to package_config/HTTPD file, as follows:
PACKAGES install
apache2
Then, when running fai-diskimage, you'll add HTTPD to the list of classes:
sudo fai-diskimage --hostname stretch-image --size 8G \
--class DEBIAN,STRETCH,AMD64,GRUB_PC,DEVEL,CLOUD,EC2,HTTPD \
/tmp/stretch-image.raw
Aside from custom package installation, you're likely to also want custom configuration. FAI allows the use of pretty much any scripting language to perform modifications to your image. A common task that these scripts may want to perform is the installation of custom configuration files. FAI provides the fcopy tool to help with this. Fcopy is aware of FAI's class list and is able to select an appropriate file from the FAI config's files subdirectory based on classes. The scripts/EC2/10-apt script provides a basic example of using fcopy to select and install an apt sources.list file. The files/etc/apt/sources.list/ subdirectory contains both an EC2 and a GCE file. Since we've enabled the EC2 class on our command line, fcopy will find and install that file. You'll notice that the sources.list subdirectory also contains a preinst file, which fcopy can use to perform additional actions prior to actually installing the specified file. postinst scripts are also supported. Beyond package and file installation, FAI also provides mechanisms to support debconf preseeding, as well as hooks that are executed at various stages of the image generation process. I recommend following the examples in the fai-cloud-images repo, as well as the FAI guide for more details. I do have one caveat regarding the documentation, however: FAI was originally written to help provision bare-metal systems, and much of its documentation is written with that use case in mind. The cloud image generation process is able to ignore a lot of the complexity of these environments (for example, you don't need to worry about pxeboot and tftp!) However, this means that although you get to ignore probably half of the FAI Guide, it's not immediately obvious which half it is that you get to ignore. Once you've generated your raw image, you can inspect it by telling Linux about the partitions contained within, and then mount and examine the filesystems. For example:
admin@ip-10-0-0-64:~$ sudo partx --show /tmp/stretch-image.raw
NR START      END  SECTORS SIZE NAME UUID
 1  2048 16777215 16775168   8G      ed093314-01
admin@ip-10-0-0-64:~$ sudo partx -a /tmp/stretch-image.raw 
partx: /dev/loop0: error adding partition 1
admin@ip-10-0-0-64:~$ lsblk 
NAME      MAJ:MIN RM    SIZE RO TYPE MOUNTPOINT
xvda      202:0    0      8G  0 disk 
 xvda1   202:1    0 1007.5K  0 part 
 xvda2   202:2    0      8G  0 part /
loop0       7:0    0      8G  0 loop 
 loop0p1 259:0    0      8G  0 loop 
admin@ip-10-0-0-64:~$ sudo mount /dev/loop0p1 /mnt/
admin@ip-10-0-0-64:~$ ls /mnt/
bin/   dev/  home/        initrd.img.old@  lib64/       media/  opt/   root/  sbin/  sys/  usr/  vmlinuz@
boot/  etc/  initrd.img@  lib/             lost+found/  mnt/    proc/  run/   srv/   tmp/  var/  vmlinuz.old@
In order to actually use your image with your cloud provider, you'll need to register it with them. Strictly speaking, these are the only steps that are provider specific and need to be run on your provider's cloud infrastructure. AWS documents this process in the User Guide for Linux Instances. The basic workflow is:
  1. Attach a secondary EBS volume to your EC2 instance. It must be large enough to hold the raw disk image you created.
  2. Use dd to write your image to the secondary volume, e.g. sudo dd if=/tmp/stretch-image.raw of=/dev/xvdb
  3. Use the volume-to-ami.sh script in the fail-cloud-image repo to snapshot the volume and register the resulting snapshot with AWS as a new AMI. Example: ./volume-to-ami.sh vol-04351c30c46d7dd6e
The volume-to-ami.sh script must be run with access to AWS credentials that grant access to several EC2 API calls: describe-snapshots, create-snapshot, and register-image. It recognizes a --help command-line flag and several options that modify characteristics of the AMI that it registers. When volume-to-ami.sh completes, it will print the AMI ID of your new image. You can now work with this image using standard AWS workflows. As always, we welcome feedback and contributions via the debian-cloud mailing list or #debian-cloud on IRC.

10 February 2017

Dirk Eddelbuettel: anytime 0.2.1

An updated anytime package arrived at CRAN yesterday. This is release number nine, and the first with a little gap to the prior release on Christmas Eve as the features are stabilizing, as is the implementation. anytime is a very focused package aiming to do just one thing really well: to convert anything in integer, numeric, character, factor, ordered, ... format to either POSIXct or Date objects -- and to do so without requiring a format string. See the anytime page, or the GitHub README.md for a few examples. This releases addresses two small things related to the anydate() and utcdate() conversion (see below) and adds one nice new format, besides some internal changes detailed below:
R> library(anytime)
R> anytime("Thu Sep 01 10:11:12 CDT 2016")
[1] "2016-09-01 10:11:12 CDT"
R> anytime("Thu Sep 01 10:11:12.123456 CDT 2016") # with frac. seconds
[1] "2016-09-01 10:11:12.123456 CDT"
R> 
Of course, all commands are also fully vectorised. See the anytime page, or the GitHub README.md for more examples.

Changes in anytime version 0.2.1 (2017-02-09)
  • The new DatetimeVector class from Rcpp is now used, and proper versioned Depends: have been added (#43)
  • The anydate and utcdate functions convert again from factor and ordered (#46 closing #44)
  • A format similar to RFC 28122 but with additonal timezone text can now be parsed (#48 closing #47)
  • Conversion from POSIXt to Date now also respect the timezone (#50 closing #49)
  • The internal .onLoad functions was updated
  • The Travis setup uses https to fetch the run script

Courtesy of CRANberries, there is a comparison to the previous release. More information is on the anytime page. For questions or comments use the issue tracker off the GitHub repo.

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

9 February 2017

Sven Hoexter: Limit host access based on LDAP groupOfUniqueNames with sssd

For CentOS 4 to CentOS 6 we used pam_ldap to restrict host access to machines, based on groupOfUniqueNames listed in an openldap. With RHEL/CentOS 6 RedHat already deprecated pam_ldap and highly recommended to use sssd instead, and with RHEL/CentOS 7 they finally removed pam_ldap from the distribution. Since pam_ldap supported groupOfUniqueNames to restrict logins a bigger collection of groupOfUniqueNames were created to restrict access to all kind of groups/projects and so on. But sssd is in general only able to filter based on an "ldap_access_filter" or use the host attribute via "ldap_user_authorized_host". That does not allow the use of "groupOfUniqueNames". So to allow a smoth migration I had to configure sssd in some way to still support groupOfUniqueNames. The configuration I ended up with looks like this:
[domain/hostacl]
autofs_provider = none 
ldap_schema = rfc2307bis
# to work properly we've to keep the search_base at the highest level
ldap_search_base = ou=foo,ou=people,o=myorg
ldap_default_bind_dn = cn=ro,ou=ldapaccounts,ou=foo,ou=people,o=myorg
ldap_default_authtok = foobar
id_provider = ldap
auth_provider = ldap
chpass_provider = none
ldap_uri = ldaps://ldapserver:636
ldap_id_use_start_tls = false
cache_credentials = false
ldap_tls_cacertdir = /etc/pki/tls/certs
ldap_tls_cacert = /etc/pki/tls/certs/ca-bundle.crt
ldap_tls_reqcert = allow
ldap_group_object_class = groupOfUniqueNames
ldap_group_member = uniqueMember
access_provider = simple
simple_allow_groups = fraappmgmtt
[sssd]
domains = hostacl
services = nss, pam
config_file_version = 2
Important side note: With current sssd versions you're more or less forced to use ldaps with a validating CA chain, though hostnames are not required to match the CN/SAN so far. Relevant are: In practise what we do is match the member of the groupOfUniqueNames to the sssd internal group representation. The best explanation about the several possible object classes in LDAP for group representation I've found so far is unfortunately in a german blog post. Another explanation is in the LDAP wiki. In short: within a groupOfUniqueNames you'll find a full DN, while in a posixGroup you usually find login names. Different kind of object class requires a different handling. Next step would be to move auth and nss functionality to sssd as well.

Vincent Bernat: Integration of a Go service with systemd

Unlike other programming languages, Go s runtime doesn t provide a way to reliably daemonize a service. A system daemon has to supply this functionality. Most distributions ship systemd which would fit the bill. A correct integration with systemd is quite straightforward. There are two interesting aspects: readiness & liveness. As an example, we will daemonize this service whose goal is to answer requests with nifty 404 errors:
package main
import (
    "log"
    "net"
    "net/http"
)
func main()  
    l, err := net.Listen("tcp", ":8081")
    if err != nil  
        log.Panicf("cannot listen: %s", err)
     
    http.Serve(l, nil)
 
You can build it with go build 404.go. Here is the service file, 404.service1:
[Unit]
Description=404 micro-service
[Service]
Type=notify
ExecStart=/usr/bin/404
WatchdogSec=30s
Restart=on-failure
[Install]
WantedBy=multi-user.target

Readiness The classic way for an Unix daemon to signal its readiness is to daemonize. Technically, this is done by calling fork(2) twice (which also serves other intents). This is a very common task and the BSD systems, as well as some other C libraries, supply a daemon(3) function for this purpose. Services are expected to daemonize only when they are ready (after reading configuration files and setting up a listening socket, for example). Then, a system can reliably initialize its services with a simple linear script:
syslogd
unbound
ntpd -s
Each daemon can rely on the previous one being ready to do its work. The sequence of actions is the following:
  1. syslogd reads its configuration, activates /dev/log, daemonizes.
  2. unbound reads its configuration, listens on 127.0.0.1:53, daemonizes.
  3. ntpd reads its configuration, connects to NTP peers, waits for clock to be synchronized2, daemonizes.
With systemd, we would use Type=fork in the service file. However, Go s runtime does not support that. Instead, we use Type=notify. In this case, systemd expects the daemon to signal its readiness with a message to an Unix socket. go-systemd package handles the details for us:
package main
import (
    "log"
    "net"
    "net/http"
    "github.com/coreos/go-systemd/daemon"
)
func main()  
    l, err := net.Listen("tcp", ":8081")
    if err != nil  
        log.Panicf("cannot listen: %s", err)
     
    daemon.SdNotify(false, "READY=1") //  
    http.Serve(l, nil)                //  
 
It s important to place the notification after net.Listen() (in ): if the notification was sent earlier, a client would get connection refused when trying to use the service. When a daemon listens to a socket, connections are queued by the kernel until the daemon is able to accept them (in ). If the service is not run through systemd, the added line is a no-op.

Liveness Another interesting feature of systemd is to watch the service and restart it if it happens to crash (thanks to the Restart=on-failure directive). It s also possible to use a watchdog: the service sends watchdog keep-alives at regular interval. If it fails to do so, systemd will restart it. We could insert the following code just before http.Serve() call:
go func()  
    interval, err := daemon.SdWatchdogEnabled(false)
    if err != nil   interval == 0  
        return
     
    for  
        daemon.SdNotify(false, "WATCHDOG=1")
        time.Sleep(interval / 3)
     
 ()
However, this doesn t add much value: the goroutine is unrelated to the core business of the service. If for some reason, the HTTP part gets stuck, the goroutine will happily continue to send keep-alives to systemd. In our example, we can just do a HTTP query before sending the keep-alive. The internal loop can be replaced with this code:
for  
    _, err := http.Get("http://127.0.0.1:8081") //  
    if err == nil  
        daemon.SdNotify(false, "WATCHDOG=1")
     
    time.Sleep(interval / 3)
 
In , we connect to the service to check if it s still working. If we get some kind of answer, we send a watchdog keep-alive. If the service is unavailable or if http.Get() gets stuck, systemd will trigger a restart. There is no universal recipe. However, checks can be split into two groups:
  • Before sending a keep-alive, you execute an active check on the components of your service. The keep-alive is sent only if all checks are successful. The checks can be internal (like in the above example) or external (for example, check with a query to the database).
  • Each component reports its status, telling if it s alive or not. Before sending a keep-alive, you check the reported status of all components (passive check). If some components are late or reported fatal errors, don t send the keep-alive.
If possible, recovery from errors (for example, with a backoff retry) and self-healing (for example, by reestablishing a network connection) is always better, but the watchdog is a good tool to handle the worst cases and avoid too complex recovery logic. For example, if a component doesn t know how to recover from an exceptional condition3, instead of using panic(), it could signal its situation before dying. Another dedicated component could try to resolve the situation by restarting the faulty component. If it fails to reach an healthy state in time, the watchdog timer will trigger and the whole service will be restarted.

  1. Depending on the distribution, this should be installed in /lib/systemd/system or /usr/lib/systemd/system. Check with the output of the command pkg-config systemd --variable=systemdsystemunitdir.
  2. This highly depends on the NTP daemon used. OpenNTPD doesn t wait unless you use the -s option. ISC NTP doesn t either unless you use the --wait-sync option.
  3. An example of an exceptional condition is to reach the limit on the number of file descriptors. Self-healing from this situation is difficult and it s easy to get stuck in a loop.

Dirk Eddelbuettel: RcppArmadillo 0.7.700.0.0

armadillo image Time for another update of RcppArmadillo with a new release 0.7.700.0.0 based on a fresh Armadillo 7.700.0. Following my full reverse-dependency check of 318 package (commit of log here), CRAN took another day to check again. Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language--and is widely used by (currently) 318 other packages on CRAN -- an increase of 20 just since the last CRAN release of 0.7.600.1.0 in December! Changes in this release relative to the previous CRAN release are as follows:

Changes in RcppArmadillo version 0.7.700.0.0 (2017-02-07)
  • Upgraded to Armadillo release 7.700.0 ("Rogue State")
    • added polyfit() and polyval()
    • added second form of log_det() to directly return the result as a complex number
    • added range() to statistics functions
    • expanded trimatu()/trimatl() and symmatu()/symmatl() to handle sparse matrice

Changes in RcppArmadillo version 0.7.600.2.0 (2017-01-05)
  • Upgraded to Armadillo release 7.600.2 (Coup d'Etat Deluxe)
    • Bug fix to memory allocation for fields

Courtesy of CRANberries, there is a diffstat report. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.

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

Steve Kemp: Old packages are interesting.

Recently Vincent Bernat wrote about writing his own simple terminal, using vte. That was a fun read, as the sample code built really easily and was functional. At the end of his post he said :
evilvte is quite customizable and can be lightweight. Consider it as a first alternative. Honestly, I don t remember why I didn t pick it.
That set me off looking at evilvte, and it was one of those rare projects which seems to be pretty stable, and also hasn't changed in any recent release of Debian GNU/Linux: I wonder if it would be possible to easily generate a list of packages which have the same revision in multiple distributions? Anyway I had a look at the source, and unfortunately spotted that it didn't entirely handle clicking on hyperlinks terribly well. Clicking on a link would pretty much run:
 firefox '%s'
That meant there was an obvious security problem. It is a great terminal though, and it just goes to show how short, simple, and readable such things can be. I enjoyed looking at the source, and furthermore enjoyed using it. Unfortunately due to a dependency issue it looks like this package will be removed from stretch.

8 February 2017

Steve Kemp: Old packages are interesting.

Recently Vincent Bernat wrote about writing his own simple terminal, using vte. That was a fun read, as the sample code built really easily and was functional. At the end of his post he said :
evilvte is quite customizable and can be lightweight. Consider it as a first alternative. Honestly, I don t remember why I didn t pick it.
That set me off looking at evilvte, and it was one of those rare projects which seems to be pretty stable, and also hasn't changed in any recent release of Debian GNU/Linux: I wonder if it would be possible to easily generate a list of packages which have the same revision in multiple distributions? Anyway I had a look at the source, and unfortunately spotted that it didn't entirely handle clicking on hyperlinks terribly well. Clicking on a link would pretty much run:
 firefox '%s'
That meant there was an obvious security problem. It is a great terminal though, and it just goes to show how short, simple, and readable such things can be. I enjoyed looking at the source, and furthermore enjoyed using it. Unfortunately due to a dependency issue it looks like this package will be removed from stretch.

Antoine Beaupr : Reliably generating good passwords

Passwords are used everywhere in our modern life. Between your email account and your bank card, a lot of critical security infrastructure relies on "something you know", a password. Yet there is little standard documentation on how to generate good passwords. There are some interesting possibilities for doing so; this article will look at what makes a good password and some tools that can be used to generate them. There is growing concern that our dependence on passwords poses a fundamental security flaw. For example, passwords rely on humans, who can be coerced to reveal secret information. Furthermore, passwords are "replayable": if your password is revealed or stolen, anyone can impersonate you to get access to your most critical assets. Therefore, major organizations are trying to move away from single password authentication. Google, for example, is enforcing two factor authentication for its employees and is considering abandoning passwords on phones as well, although we have yet to see that controversial change implemented. Yet passwords are still here and are likely to stick around for a long time until we figure out a better alternative. Note that in this article I use the word "password" instead of "PIN" or "passphrase", which all roughly mean the same thing: a small piece of text that users provide to prove their identity.

What makes a good password? A "good password" may mean different things to different people. I will assert that a good password has the following properties:
  • high entropy: hard to guess for machines
  • transferable: easy to communicate for humans or transfer across various protocols for computers
  • memorable: easy to remember for humans
High entropy means that the password should be unpredictable to an attacker, for all practical purposes. It is tempting (and not uncommon) to choose a password based on something else that you know, but unfortunately those choices are likely to be guessable, no matter how "secret" you believe it is. Yes, with enough effort, an attacker can figure out your birthday, the name of your first lover, your mother's maiden name, where you were last summer, or other secrets people think they have. The only solution here is to use a password randomly generated with enough randomness or "entropy" that brute-forcing the password will be practically infeasible. Considering that a modern off-the-shelf graphics card can guess millions of passwords per second using freely available software like hashcat, the typical requirement of "8 characters" is not considered enough anymore. With proper hardware, a powerful rig can crack such passwords offline within about a day. Even though a recent US National Institute of Standards and Technology (NIST) draft still recommends a minimum of eight characters, we now more often hear recommendations of twelve characters or fourteen characters. A password should also be easily "transferable". Some characters, like & or !, have special meaning on the web or the shell and can wreak havoc when transferred. Certain software also has policies of refusing (or requiring!) some special characters exactly for that reason. Weird characters also make it harder for humans to communicate passwords across voice channels or different cultural backgrounds. In a more extreme example, the popular Signal software even resorted to using only digits to transfer key fingerprints. They outlined that numbers are "easy to localize" (as opposed to words, which are language-specific) and "visually distinct". But the critical piece is the "memorable" part: it is trivial to generate a random string of characters, but those passwords are hard for humans to remember. As xkcd noted, "through 20 years of effort, we've successfully trained everyone to use passwords that are hard for human to remember but easy for computers to guess". It explains how a series of words is a better password than a single word with some characters replaced. Obviously, you should not need to remember all passwords. Indeed, you may store some in password managers (which we'll look at in another article) or write them down in your wallet. In those cases, what you need is not a password, but something I would rather call a "token", or, as Debian Developer Daniel Kahn Gillmor (dkg) said in a private email, a "high entropy, compact, and transferable string". Certain APIs are specifically crafted to use tokens. OAuth, for example, generates "access tokens" that are random strings that give access to services. But in our discussion, we'll use the term "token" in a broader sense. Notice how we removed the "memorable" property and added the "compact" one: we want to efficiently convert the most entropy into the shortest password possible, to work around possibly limiting password policies. For example, some bank cards only allow 5-digit security PINs and most web sites have an upper limit in the password length. The "compact" property applies less to "passwords" than tokens, because I assume that you will only use a password in select places: your password manager, SSH and OpenPGP keys, your computer login, and encryption keys. Everything else should be in a password manager. Those tools are generally under your control and should allow large enough passwords that the compact property is not particularly important.

Generating secure passwords We'll look now at how to generate a strong, transferable, and memorable password. These are most likely the passwords you will deal with most of the time, as security tokens used in other settings should actually never show up on screen: they should be copy-pasted or automatically typed in forms. The password generators described here are all operated from the command line. Password managers often have embedded password generators, but usually don't provide an easy way to generate a password for the vault itself. The previously mentioned xkcd cartoon is probably a common cultural reference in the security crowd and I often use it to explain how to choose a good passphrase. It turns out that someone actually implemented xkcd author Randall Munroe's suggestion into a program called xkcdpass:
    $ xkcdpass
    estop mixing edelweiss conduct rejoin flexitime
In verbose mode, it will show the actual entropy of the generated passphrase:
    $ xkcdpass -V
    The supplied word list is located at /usr/lib/python3/dist-packages/xkcdpass/static/default.txt.
    Your word list contains 38271 words, or 2^15.22 words.
    A 6 word password from this list will have roughly 91 (15.22 * 6) bits of entropy,
    assuming truly random word selection.
    estop mixing edelweiss conduct rejoin flexitime
Note that the above password has 91 bits of entropy, which is about what a fifteen-character password would have, if chosen at random from uppercase, lowercase, digits, and ten symbols:
    log2((26 + 26 + 10 + 10)^15) = approx. 92.548875
It's also interesting to note that this is closer to the entropy of a fifteen-letter base64 encoded password: since each character is six bits, you end up with 90 bits of entropy. xkcdpass is scriptable and easy to use. You can also customize the word list, separators, and so on with different command-line options. By default, xkcdpass uses the 2 of 12 word list from 12 dicts, which is not specifically geared toward password generation but has been curated for "common words" and words of different sizes. Another option is the diceware system. Diceware works by having a word list in which you look up words based on dice rolls. For example, rolling the five dice "1 4 2 1 4" would give the word "bilge". By rolling those dice five times, you generate a five word password that is both memorable and random. Since paper and dice do not seem to be popular anymore, someone wrote that as an actual program, aptly called diceware. It works in a similar fashion, except that passwords are not space separated by default:
    $ diceware
    AbateStripDummy16thThanBrock
Diceware can obviously change the output to look similar to xkcdpass, but can also accept actual dice rolls for those who do not trust their computer's entropy source:
    $ diceware -d ' ' -r realdice -w en_orig
    Please roll 5 dice (or a single dice 5 times).
    What number shows dice number 1? 4
    What number shows dice number 2? 2
    What number shows dice number 3? 6
    [...]
    Aspire O's Ester Court Born Pk
The diceware software ships with a few word lists, and the default list has been deliberately created for generating passwords. It is derived from the standard diceware list with additions from the SecureDrop project. Diceware ships with the EFF word list that has words chosen for better recognition, but it is not enabled by default, even though diceware recommends using it when generating passwords with dice. That is because the EFF list was added later on. The project is currently considering making the EFF list be the default. One disadvantage of diceware is that it doesn't actually show how much entropy the generated password has those interested need to compute it for themselves. The actual number depends on the word list: the default word list has 13 bits of entropy per word (since it is exactly 8192 words long), which means the default 6 word passwords have 78 bits of entropy:
    log2(8192) * 6 = 78
Both of these programs are rather new, having, for example, entered Debian only after the last stable release, so they may not be directly available for your distribution. The manual diceware method, of course, only needs a set of dice and a word list, so that is much more portable, and both the diceware and xkcdpass programs can be installed through pip. However, if this is all too complicated, you can take a look at Openwall's passwdqc, which is older and more widely available. It generates more memorable passphrases while at the same time allowing for better control over the level of entropy:
    $ pwqgen
    vest5Lyric8wake
    $ pwqgen random=78
    Theme9accord=milan8ninety9few
For some reason, passwdqc restricts the entropy of passwords between the bounds of 24 and 85 bits. That tool is also much less customizable than the other two: what you see here is pretty much what you get. The 4096-word list is also hardcoded in the C source code; it comes from a Usenet sci.crypt posting from 1997. A key feature of xkcdpass and diceware is that you can craft your own word list, which can make dictionary-based attacks harder. Indeed, with such word-based password generators, the only viable way to crack those passwords is to use dictionary attacks, because the password is so long that character-based exhaustive searches are not workable, since they would take centuries to complete. Changing from the default dictionary therefore brings some advantage against attackers. This may be yet another "security through obscurity" procedure, however: a naive approach may be to use a dictionary localized to your native language (for example, in my case, French), but that would deter only an attacker that doesn't do basic research about you, so that advantage is quickly lost to determined attackers. One should also note that the entropy of the password doesn't depend on which word list is chosen, only its length. Furthermore, a larger dictionary only expands the search space logarithmically; in other words, doubling the word-list length only adds a single bit of entropy. It is actually much better to add a word to your password than words to the word list that generates it.

Generating security tokens As mentioned before, most password managers feature a way to generate strong security tokens, with different policies (symbols or not, length, etc). In general, you should use your password manager's password-generation functionality to generate tokens for sites you visit. But how are those functionalities implemented and what can you do if your password manager (for example, Firefox's master password feature) does not actually generate passwords for you? pass, the standard UNIX password manager, delegates this task to the widely known pwgen program. It turns out that pwgen has a pretty bad track record for security issues, especially in the default "phoneme" mode, which generates non-uniformly distributed passwords. While pass uses the more "secure" -s mode, I figured it was worth removing that option to discourage the use of pwgen in the default mode. I made a trivial patch to pass so that it generates passwords correctly on its own. The gory details are in this email. It turns out that there are lots of ways to skin this particular cat. I was suggesting the following pipeline to generate the password:
    head -c $entropy /dev/random   base64   tr -d '\n='
The above command reads a certain number of bytes from the kernel (head -c $entropy /dev/random) encodes that using the base64 algorithm and strips out the trailing equal sign and newlines (for large passwords). This is what Gillmor described as a "high-entropy compact printable/transferable string". The priority, in this case, is to have a token that is as compact as possible with the given entropy, while at the same time using a character set that should cause as little trouble as possible on sites that restrict the characters you can use. Gillmor is a co-maintainer of the Assword password manager, which chose base64 because it is widely available and understood and only takes up 33% more space than the original 8-bit binary encoding. After a lengthy discussion, the pass maintainer, Jason A. Donenfeld, chose the following pipeline:
    read -r -n $length pass < <(LC_ALL=C tr -dc "$characters" < /dev/urandom)
The above is similar, except it uses tr to directly to read characters from the kernel, and selects a certain set of characters ($characters) that is defined earlier as consisting of [:alnum:] for letters and digits and [:graph:] for symbols, depending on the user's configuration. Then the read command extracts the chosen number of characters from the output and stores the result in the pass variable. A participant on the mailing list, Brian Candler, has argued that this wastes entropy as the use of tr discards bits from /dev/urandom with little gain in entropy when compared to base64. But in the end, the maintainer argued that reading "reading from /dev/urandom has no [effect] on /proc/sys/kernel/random/entropy_avail on Linux" and dismissed the objection. Another password manager, KeePass uses its own routines to generate tokens, but the procedure is the same: read from the kernel's entropy source (and user-generated sources in case of KeePass) and transform that data into a transferable string.

Conclusion While there are many aspects to password management, we have focused on different techniques for users and developers to generate secure but also usable passwords. Generating a strong yet memorable password is not a trivial problem as the security vulnerabilities of the pwgen software showed. Furthermore, left to their own devices, users will generate passwords that can be easily guessed by a skilled attacker, especially if they can profile the user. It is therefore essential we provide easy tools for users to generate strong passwords and encourage them to store secure tokens in password managers.
Note: this article first appeared in the Linux Weekly News.

Alberto Garc a: QEMU and the qcow2 metadata checks

When choosing a disk image format for your virtual machine one of the factors to take into considerations is its I/O performance. In this post I ll talk a bit about the internals of qcow2 and about one of the aspects that can affect its performance under QEMU: its consistency checks. As you probably know, qcow2 is QEMU s native file format. The first thing that I d like to highlight is that this format is perfectly fine in most cases and its I/O performance is comparable to that of a raw file. When it isn t, chances are that this is due to an insufficiently large L2 cache. In one of my previous blog posts I wrote about the qcow2 L2 cache and how to tune it, so if your virtual disk is too slow, you should go there first. I also recommend Max Reitz and Kevin Wolf s qcow2: why (not)? talk from KVM Forum 2015, where they talk about a lot of internal details and show some performance tests. qcow2 clusters: data and metadata A qcow2 file is organized into units of constant size called clusters. The cluster size defaults to 64KB, but a different value can be set when creating a new image: qemu-img create -f qcow2 -o cluster_size=128K hd.qcow2 4G Clusters can contain either data or metadata. A qcow2 file grows dynamically and only allocates space when it is actually needed, so apart from the header there s no fixed location for any of the data and metadata clusters: they can appear mixed anywhere in the file. Here s an example of what it looks like internally:
In this example we can see the most important types of clusters that a qcow2 file can have: Metadata overlap checks In order to detect corruption when writing to qcow2 images QEMU (since v1.7) performs several sanity checks. They verify that QEMU does not try to overwrite sections of the file that are already being used for metadata. If this happens, the image is marked as corrupted and further access is prevented. Although in most cases these checks are innocuous, under certain scenarios they can have a negative impact on disk write performance. This depends a lot on the case, and I want to insist that in most scenarios it doesn t have any effect. When it does, the general rule is that you ll have more chances of noticing it if the storage backend is very fast or if the qcow2 image is very large. In these cases, and if I/O performance is critical for you, you might want to consider tweaking the images a bit or disabling some of these checks, so let s take a look at them. There are currently eight different checks. They re named after the metadata sections that they check, and can be divided into the following categories:
  1. Checks that run in constant time. These are equally fast for all kinds of images and I don t think they re worth disabling.
    • main-header
    • active-l1
    • refcount-table
    • snapshot-table
  2. Checks that run in variable time but don t need to read anything from disk.
    • refcount-block
    • active-l2
    • inactive-l1
  3. Checks that need to read data from disk. There is just one check here and it s only needed if there are internal snapshots.
    • inactive-l2
By default all tests are enabled except for the last one (inactive-l2), because it needs to read data from disk. Disabling the overlap checks Tests can be disabled or enabled from the command line using the following syntax: -drive file=hd.qcow2,overlap-check.inactive-l2=on
-drive file=hd.qcow2,overlap-check.snapshot-table=off It s also possible to select the group of checks that you want to enable using the following syntax: -drive file=hd.qcow2,overlap-check.template=none
-drive file=hd.qcow2,overlap-check.template=constant
-drive file=hd.qcow2,overlap-check.template=cached
-drive file=hd.qcow2,overlap-check.template=all Here, none means that no tests are enabled, constant enables all tests from group 1, cached enables all tests from groups 1 and 2, and all enables all of them. As I explained in the previous section, if you re worried about I/O performance then the checks that are probably worth evaluating are refcount-block, active-l2 and inactive-l1. I m not counting inactive-l2 because it s off by default. Let s look at the other three: Conclusion The qcow2 consistency checks are useful to detect data corruption, but they can affect write performance. If you re unsure and you want to check it quickly, open an image with overlap-check.template=none and see for yourself, but remember again that this will only affect write operations. To obtain more reliable results you should also open the image with cache=none in order to perform direct I/O and bypass the page cache. I ve seen performance increases of 50% and more, but whether you ll see them depends a lot on your setup. In many cases you won t notice any difference. I hope this post was useful to learn a bit more about the qcow2 format. There are other things that can help QEMU perform better, and I ll probably come back to them in future posts, so stay tuned! Acknowledgments My work in QEMU is sponsored by Outscale and has been made possible by Igalia and the help of the rest of the QEMU development team.

7 February 2017

Vincent Bernat: Write your own terminal emulator

I was an happy user of rxvt-unicode until I got a laptop with an HiDPI display. Switching from a LoDPI to a HiDPI screen and back was a pain: I had to manually adjust the font size on all terminals or restart them. VTE is a library to build a terminal emulator using the GTK+ toolkit, which handles DPI changes. It is used by many terminal emulators, like GNOME Terminal, evilvte, sakura, termit and ROXTerm. The library is quite straightforward and writing a terminal doesn t take much time if you don t need many features. Let s see how to write a simple one.

A simple terminal Let s start small with a terminal with the default settings. We ll write that in C. Another supported option is Vala.
#include <vte/vte.h>
int
main(int argc, char *argv[])
 
    GtkWidget *window, *terminal;
    /* Initialise GTK, the window and the terminal */
    gtk_init(&argc, &argv);
    terminal = vte_terminal_new();
    window = gtk_window_new(GTK_WINDOW_TOPLEVEL);
    gtk_window_set_title(GTK_WINDOW(window), "myterm");
    /* Start a new shell */
    gchar **envp = g_get_environ();
    gchar **command = (gchar *[]) g_strdup(g_environ_getenv(envp, "SHELL")), NULL  ;
    g_strfreev(envp);
    vte_terminal_spawn_sync(VTE_TERMINAL(terminal),
        VTE_PTY_DEFAULT,
        NULL,       /* working directory  */
        command,    /* command */
        NULL,       /* environment */
        0,          /* spawn flags */
        NULL, NULL, /* child setup */
        NULL,       /* child pid */
        NULL, NULL);
    /* Connect some signals */
    g_signal_connect(window, "delete-event", gtk_main_quit, NULL);
    g_signal_connect(terminal, "child-exited", gtk_main_quit, NULL);
    /* Put widgets together and run the main loop */
    gtk_container_add(GTK_CONTAINER(window), terminal);
    gtk_widget_show_all(window);
    gtk_main();
 
You can compile it with the following command:
gcc -O2 -Wall $(pkg-config --cflags --libs vte-2.91) term.c -o term
And run it with ./term: Simple VTE-based terminal

More features From here, you can have a look at the documentation to alter behavior or add more features. Here are three examples.

Colors You can define the 16 basic colors with the following code:
#define CLR_R(x)   (((x) & 0xff0000) >> 16)
#define CLR_G(x)   (((x) & 0x00ff00) >>  8)
#define CLR_B(x)   (((x) & 0x0000ff) >>  0)
#define CLR_16(x)  ((double)(x) / 0xff)
#define CLR_GDK(x) (const GdkRGBA)  .red = CLR_16(CLR_R(x)), \
                                    .green = CLR_16(CLR_G(x)), \
                                    .blue = CLR_16(CLR_B(x)), \
                                    .alpha = 0  
vte_terminal_set_colors(VTE_TERMINAL(terminal),
    &CLR_GDK(0xffffff),
    &(GdkRGBA)  .alpha = 0.85  ,
    (const GdkRGBA[]) 
        CLR_GDK(0x111111),
        CLR_GDK(0xd36265),
        CLR_GDK(0xaece91),
        CLR_GDK(0xe7e18c),
        CLR_GDK(0x5297cf),
        CLR_GDK(0x963c59),
        CLR_GDK(0x5E7175),
        CLR_GDK(0xbebebe),
        CLR_GDK(0x666666),
        CLR_GDK(0xef8171),
        CLR_GDK(0xcfefb3),
        CLR_GDK(0xfff796),
        CLR_GDK(0x74b8ef),
        CLR_GDK(0xb85e7b),
        CLR_GDK(0xA3BABF),
        CLR_GDK(0xffffff)
 , 16);
While you can t see it on the screenshot1, this also enables background transparency. Color rendering

Miscellaneous settings VTE comes with many settings to change the behavior of the terminal. Consider the following code:
vte_terminal_set_scrollback_lines(VTE_TERMINAL(terminal), 0);
vte_terminal_set_scroll_on_output(VTE_TERMINAL(terminal), FALSE);
vte_terminal_set_scroll_on_keystroke(VTE_TERMINAL(terminal), TRUE);
vte_terminal_set_rewrap_on_resize(VTE_TERMINAL(terminal), TRUE);
vte_terminal_set_mouse_autohide(VTE_TERMINAL(terminal), TRUE);
This will:
  • disable the scrollback buffer,
  • not scroll to the bottom on new output,
  • scroll to the bottom on keystroke,
  • rewrap content when terminal size change, and
  • hide the mouse cursor when typing.

Update the window title An application can change the window title using XTerm control sequences (for example, with printf "\e]2;$ title \a"). If you want the actual window title to reflect this, you need to define this function:
static gboolean
on_title_changed(GtkWidget *terminal, gpointer user_data)
 
    GtkWindow *window = user_data;
    gtk_window_set_title(window,
        vte_terminal_get_window_title(VTE_TERMINAL(terminal))?:"Terminal");
    return TRUE;
 
Then, connect it to the appropriate signal, in main():
g_signal_connect(terminal, "window-title-changed", 
    G_CALLBACK(on_title_changed), GTK_WINDOW(window));

Final words I don t need much more as I am using tmux inside each terminal. In my own copy, I have also added the ability to complete a word using ones from the current window or other windows (also known as dynamic abbrev expansion). This requires to implement a terminal daemon to handle all terminal windows with one process, similar to urxvtcd. While writing a terminal from scratch 2 suits my need, it may not be worth it. evilvte is quite customizable and can be lightweight. Consider it as a first alternative. Honestly, I don t remember why I didn t pick it. UPDATED: evilvte has not seen an update since 2014. Its GTK+3 support is buggy. It doesn t support the latest versions of the VTE library. Therefore, it s not a good idea to use it. You should also note that the primary goal of VTE is to be a library to support GNOME Terminal. Notably, if a feature is not needed for GNOME Terminal, it won t be added to VTE. If it already exists, it will likely to be deprecated and removed.

  1. Transparency is handled by the composite manager (Compton, in my case).
  2. For some definition of scratch since the hard work is handled by VTE.

Sean Whitton: reclaiming conversation

On Friday night I attended a talk by Sherry Turkle called Reclaiming Conversation: The Power of Talk in a Digital Age . Here are my notes.
Turkle is an anthropologist who interviews people from different generations about their communication habits. She has observed cross-generational changes thanks to (a) the proliferation of instant messaging apps such as WhatsApp and Facebook Messenger; and (b) fast web searching from smartphones. Her main concern is that conversation is being trivialised. Consider six or seven college students eating a meal together. Turkle s research has shown that the etiquette among such a group has shifted such that so long as at least three people are engaged in conversation, others at the table feel comfortable turning their attention to their smartphones. But then the topics of verbal conversation will tend away from serious issues you wouldn t talk about your mother s recent death if anyone at the table was texting. There are also studies that purport to show that the visibility of someone s smartphone causes them to take a conversation less seriously. The hypothesis is that the smartphone is a reminder of all the other places they could be, instead of with the person they are with. A related cause of the trivialisation of conversation is that people are far less willing to make themselves emotionally vulnerable by talking about serious matters. People have a high degree of control over the interactions that take place electronically (they can think about their reply for much longer, for example). Texting is not open-ended in the way a face-to-face conversation is. People are unwilling to give up this control, so they choose texting over talking. What is the upshot of these two respects in which conversation is being trivialised? Firstly, there are psycho-social effects on individuals, because people are missing out on opportunities to build relationships. But secondly, there are political effects. Disagreeing about politics immediately makes a conversation quite serious, and people just aren t having those conversations. This contributes to polarisation. Note that this is quite distinct from the problems of fake news and the bubbling effects of search engine algorithms, including Facebook s news feed. It would be much easier to tackle fake news if people talked about it with people around them who would be likely to disagree with them. Turkle understands connection as a capacity for solitude and also for conversation. The drip feed of information from the Internet prevents us from using our capacity for solitude. But then we fail to develop a sense of self. Then when we finally do meet other people in real life, we can t hear them because we just use them to try to establish a sense of self. Turkle wants us to be more aware of the effects that our smartphones can have on conversations. People very rarely take their phone out during a conversation because they want to escape from that conversation. Instead, they think that the phone will contribute to that conversation, by sharing some photos, or looking up some information online. But once the phone has come out, the conversation almost always takes a turn for the worse. If we were more aware of this, we would have access to deeper interactions. A further respect in which the importance of conversation is being downplayed is in the relationships between teachers and students. Students would prefer to get answers by e-mail than build a relationship with their professors, but of course they are expecting far too much of e-mail, which can t teach them in the way interpersonal contact can. All the above is, as I said, cross-generational. Something that is unique to millenials and below is that we seek validation for the way that we feel using social media. A millenial is not sure how they feel until they send a text or make a broadcast (this makes them awfully dependent on others). Older generations feel something, and then seek out social interaction (presumably to share, but not in the social media sense of share ). What does Turkle think we can do about all this? She had one positive suggestion and one negative suggestion. In response to student or colleague e-mails asking for something that ought to be discussed face-to-face, reply I m thinking. And you ll find they come to you. She doesn t want anyone to write empathy apps in response to her findings. For once, more tech is definitely not the answer. Turkle also made reference to the study reported here and here and here.

5 February 2017

Iustin Pop: Short rant/review of La La Land

Warning: Spoilers below. Rant below. Much angry, MANY ALL-CAPS. You've been warned! So, today we went to see "La La Land", because I've heard good things about it, and because I do enjoy good musicals. And because of this, I wrote this post, instead of what I originally had in mind (related to kernel configuration). Was it a good movie? Definitely yes. Was it a good musical? So and so. Did I like the ending? HELL NO, over and over NO. The movie itself was much better than I expected. I don't read plot details in advance nor real reviews, so I expected more of a musical, and less of a good plot. But the movie had a very good plot. Two young people, striving to fulfil their artistic dreams, fall in love, and they fight through-sometimes helping, sometimes hindering each other until, finally, each gets their own breakthrough, etc. The choice of actress was spot on halfway through the movie, I was thinking that I can't imagine the same plot played by a different actress. Of course many other actresses could have played the part, but Emma Stone played so well, I have trouble seeing the same character with the same always half-happy, half-sad attitude. The choice of actor was I think OK at first I was in doubt, but he played also well. Or maybe it was just that I couldn't identify with him at first. Not that I identify well with artists in general The dance scenes were OK, and the singing good, but as I said, the musical part was secondary to the actual struggles of the characters. The movie itself was, technically, very well done; a lot of filming was in bars/clubs/locations with difficult lighting, and the shooting was very good. They also had a scene on a pier, looking towards the ocean and the setting sun, and the characters walking towards the beach so heavily back-lighted, and I kept thinking "If I get only one shot this perfectly exposed and colour correct(ed), I'm happy". So high notes here. Back to the plot. The story of how she and him fought their own struggles was very nicely told. Tick-tack, up and down (hope and rejection), leaning on the other to get morale back, is a captivating story. The cliff-hanger at the pre-end with her career, the going back home, the last minute save, all very well told. So at this stage, I would have given the movie a 9/10. And I was happy. Then we have the usual "one character has to go away to a far away country for a long time", except in this case it was just 4 months. And they have the usual discussion "what do we do with our relation, where do we take it", and she says "I will always love you", to which he replies "And I will too" (or equivalent). In my mind, this means they'll have to survive during the break, they'll have to also survive through his touring months/years, but in the end love will be stronger. Because this is what the movie told us until now, that she made it because of him, and he made it because of her. Neither of them would have been this strong without the other (he wouldn't have picked up the invitation from his old pal, she wouldn't have gone to the final audition request nor write the play which got her the audition/recognition). Estimated movie ending: awesome. And then something happens. The timeline jumps 5 years in the future (as expected), and she is famous, married (WITH SOMEONE ELSE) and happy mother of a 3-year old. Through fate, she and her husband enter the club of Sebastian (as he also fulfilled his dream), she and Sebastian see each other, he plays their song, during which we're served a re-run of the movie but in stupid "everything goes well" style (all bad events eliminated), in which it is she and Sebastian who enter the club (which belongs now to somebody else), and then we're back in real time, song ends, she and her husband leave, but before that she and Sebastian exchange one last smile, THE END. And I'm sitting there, not believing my eyes. WHAT THE? So I get home, not write this post for four hours to calm down, but I can't. Because this doesn't make sense. AT ALL. What does the internet say? Quoting from this CNN article, written exactly today. The director says:
"That ending was there from the get-go," [director Damien Chazelle] told CNN in a recent interview. "I think I just have a thing about love stories where the lovers don't wind up together at the end; I find it very romantic."
Huh, excuse me?
"I think there's a reason why most of the greatest love stories in history don't end with happily ever after," Chazelle said. "To me, if you're telling a story about love, love has to be bigger than the characters." Chazelle sees Mia and Sebastian's love as a "third character" and something that "lives on." "[The ending gives] you that sense that even if the relationship itself might be over in practical terms, the love is not over," he said. "The love lasts, and I think that's just a beautiful kind of thing."
OH FOR THE LOVE OF. This is a wishy-washy explanation that tries to approach the thing from the artistic side. No, this is bullshit, because of multiple things. Let me try to roll back and explain what I think was the intention.
  1. An earlier fight between Mia and Sebastian points to the fact that they're both very dedicated to their careers, and this means it's hard for them to stay together if they both chase their dream. He has to be on tour, and she has to rehearse for her play, so they won't see each other for at least two weeks (in this instance). Later, she calls him and leaves a message that she hasn't seen him in a while (complex scene which ends in another fight, which is very well done). So we see the conflict that seems to say "You can't have a relation of equals; one party has to give up their dream". While this might be partially true in the real world, I don't go to movies to see the real world.
  2. After the year-long window into their life, I can't think that either Sebastian or Mia can be really successful without the other; because they are so alike, so passionate about their dreams, that a normal person wouldn't be able to understand and push the other when they need. However, the ending show both Mia and Sebastian quite successful, so one has to wonder: did they make it alone? Sebastian seems so (we don't see a partner for him), Mia unclear, likely not. How did Sebastian get through? What did Mia find in her husband?
  3. This is very one-sided, since I'm a man, so bear with me: Sebastian helped Mia through her tough time. Once she got the breakthrough (and they split), she found somebody else, and I have to wonder in what circumstances they met. In the sense that maybe her husband only knew "successful Mia" and not "struggling/aspiring Mia". Her husband seems completely oblivious to all the eye contact between Mia and Sebastian in the club, seems to know Sebastian/about Sebastian not. How deep is their relation?
  4. This is still one sided, sorry. When they break up (before Mia leaves for Paris), Sebastian asks "so where do we go from here?". Mia says "Nowhere". He asks once more, she rejects him again. So after one year of mad love and cries and happy moments, he gives up over two sentences? He's been following his dream (proper Jazz) in spite of all downturns in life until then, but he gives up on his real love over this? It doesn't make sense; trying to identify my self with the character, I can't reconcile this scene at all, unless he didn't really love her.
So no, I don't see them ending apart as romantic. I see it as the director is saying "You can't have both love and your [career] dreams. Choose either.", and he gives the "love" fake ending in the mini-re-roll of the movie, and the "career" wrong ending in the actual ending. And worse, he does it by negating significant parts of the character development done until now. Moreover, this conclusion is wrong. Wrong because this is a movie, and if movies don't manage to make you dream that you can achieve all, if movies tell you "choose either", then all is lost. Their love is not a separate character; them struggling to find each other in the successful phase of their life, learning to adapt to the new "he" and "she", would be the third thing. As it was shown, their love is simply a young love, that can't really survive the changes in life; they each said "I'll love you forever", but with this ending it sounds more "I'll cherish the memory of young you forever". Or differently said, it sounded like a cheap excuse to use when ending their relationship, in order to not negate the relationship itself. My version of the movie is another half hour long. It explains how Sebastian get over the "only jazz is pure old jazz" and manages to build a successful business around his old-style-but-modern jazz, instead of the pop-style jazz of the touring band (while thinking about her). It explains how Mia becomes a successful actress and gets over her first/second movies (while thinking about him), because one movie doesn't make one really successful (that reminds me: 3 year old child after 5 year forward-jump? when/how did her career go?). Hell, make it even more bitter show how their correspondence starts strong but becomes more and more sporadic over time, dying after the first 2 years. Show how both of them try other relations, and not find the same spark that they had before. And then, after they have matured, they meet again. And, just like the first time, they fall for each other, once again. She for his music, him for her passion for acting/for acting itself. She finds that him naming his club after her suggestion is oh-so-grown-up-and-sweet, he is happy that she finally grew into what he saw in her from the beginning. And he sings their song once more. But no. I'm not an artist, so I can only get the "die hope die die die love because I can" version. I still recommend the movie, but not the "after 5 years" scenes. Also, I didn't get time to bike today nor yesterday, so all you really get here is an ANGRY RANT. Because while I drink the coffee black and the tea without sugar, I like my happy endings, DAMN IT.

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