Posts for Wednesday, July 28, 2010

We need a thoughout integration of the desktop and the web - not Tab Candy superfast jellyfish

This video demonstrates a new tab organising feature called 'Tab Candy' that might make it into a future version of Firefox. Lord help us all if it does.

Embedded below is the promo video:

<object height="340" width="560"><param name="movie" value="http://www.youtube-nocookie.com/v/wXWHb6J1Kgg&amp;hl=en_GB&amp;fs=1?rel=0"><param name="allowFullScreen" value="true"><param name="allowscriptaccess" value="always"><embed allowfullscreen="true" allowscriptaccess="always" height="340" src="http://www.youtube-nocookie.com/v/wXWHb6J1Kgg&amp;hl=en_GB&amp;fs=1?rel=0" type="application/x-shockwave-flash" width="560"></embed></object>

Sorry, wrong video, below is the correct one, yank alert. (Aside question about the intro spiel: how can he use his browser more than his operating system since the former requires the latter?)

<object height="265" width="400"><param name="allowfullscreen" value="true"><param name="allowscriptaccess" value="always"><param name="movie" value="http://vimeo.com/moogaloop.swf?clip_id=13560319&amp;server=vimeo.com&amp;show_title=1&amp;show_byline=1&amp;show_portrait=0&amp;color=&amp;fullscreen=1"><embed allowfullscreen="true" allowscriptaccess="always" height="265" src="http://vimeo.com/moogaloop.swf?clip_id=13560319&amp;server=vimeo.com&amp;show_title=1&amp;show_byline=1&amp;show_portrait=0&amp;color=&amp;fullscreen=1" type="application/x-shockwave-flash" width="400"></embed></object>

Tab Candy allows you to drag web pages (i.e. tabs) and organise them into little piles. The piles can then be saved, named and so on.

Thinking in terms of a Linux distribution, I am not sure how helpful Tab Candy really is. This seems to be the wrong level of the stack.

Tab Candy is just recreating GUI folders, albeit with a nice zoom out and more automatic groups. Tab Candy not only replicating the desktop, but it is dealing with symptoms of a more basic problem, rather than solving the problem itself.

Browsers are crap at saving Web pages

When you view a web page in the browser, it is represented in the navigation by one tab, this is good. However, on the filesystem, a webpage is represented by its composite fragments - the HTML file, Javascript and CSS includes, images and so on, this is really stupid. This difference makes webpages a second class object on the desktop.

A better approach would be to encapsulate a saved webpage into a single file (internally it could be a zip or similar). Then saving and sharing webpages would be much cleaner and would allow operating system graphical interface designers to create a more beautiful desktop.

Ideally the cache would save webpages in the same form, so saving a page is just copying the file from the cache, rather than downloading it again. The cached version of the page can then be in piles implemented at the desktop level rather than at the browser level.

Piles should be in the desktop shell

The piles being a desktop feature would allow the user to put other things into the piles too: pictures, PDFs, songs and so on. At the desktop level, the feature would be implemented in native code rather than an in-browser cross-platform Javascript mess.

Call me old fashioned but I want my GUI to be fast, efficient with resources and to get out of my way. I don't want browser-based bling using up all my RAM. As I moaned about in the last post, Firefox uses quite enough memory as it is; implementing a desktop GUI in Firefox is hardly a recipe for reducing its memory footprint. It is a recipe for more bloat.

http://commandline.org.uk/images/posts/firefox/super_fast_jellyfish.jpg

What do you think? Should the browser become the desktop? Or should Firefox be faster and slimmer without these desktop-style features?

Discuss this post - Leave a comment

Paludis 0.50.2 Relased

Paludis 0.50.2 has been released:

  • ‘cave resolve –continue-on-failure’ interacted weirdly with background fetching. This is now fixed.
  • Support for automatic repository configuration creation via installing a ‘repository/somerepo’ pseudo-package is now available on Gentoo.
  • Queries in the form ‘*/*::foo->’ no longer force pointless generation of metadata for ebuilds.

To enable automatic configuration of repositories on Gentoo, you need to set up an unavailable format repository for Layman, and a repository format repository for installs.


Filed under: paludis releases Tagged: paludis

Posts for Tuesday, July 27, 2010

Footnotes

Did you ever notice how footnotes make your writing seem more important1 somehow?

Maybe one reason is that "real" books use footnotes. At a glance, it looks like I have references2 backing up everything I say. In reality, I don't, but the connotation carries through somehow3. Now my blog seems scholarly and authoritative.

And if you're like me, you can't resist clicking footnotes to see what they refer to4. According to my estimates, by utilizing footnotes, in one fell swoop I have decreased my readers' average reading efficiency by 73%.

In any case, I've added experimental, rudimentary support for footnotes to cow-blog.

I'm loosely copying the syntax from Markdown Extra for this. Markdown is great, except when it isn't. The standard doesn't have support for some useful extensions. I use Showdown for Markdown support, and I'm probably going to work on adding more features of Markdown Extra to Showdown in the near future.

I just dread actually doing it. Showdown (like Markdown itself) is implemented as a series of hackish regex transformations of blobs of text. It's not a proper grammar. Implementing more of Markdown Extra means more regex blobbing. It's brittle and fragile and even getting incomplete support for footnotes was less than enjoyable. But at the same time I find myself wanting to do things that Markdown can't so, so I may have to bite the bullet.

(If there's a Showdown Extra out there already, drop me a URL. It'd be most appreciated. But I couldn't find one.)

  1. In reality nothing I say is important.

  2. Does my inner dialog count as a reference?

  3. Via telepathy.

  4. See?

Posts for Monday, July 26, 2010

Review: Surely You're Joking, Mr. Feynman!

I'm probably the last person on earth to read "Surely You're Joking, Mr. Feynman!", a collection of stories and anecdotes from the life of Richard Feynman. But better late than never.

I'll keep this short. Feynman was the kind of nerd every nerd wishes he was, in one way or another. He was socially awkward. He was blunt and tactless. He felt out of place much of the time. And it was surprising to see how often Feynman expressed feelings of inadequacy. He wrote about being highly intimidated when talking in front of big names in physics, and jealous of the math abilities of some other people.

But none of that stopped him from having an exciting life. In fact he turned these traits to his advantage. He had romantic success, often via very highly unconventional means (e.g. walking up to girls and asking them for sex outright; they often said yes). His bluntness was seen as an admirable trait: where others might be intimidated by a famous physicist, Feynman would give his honest opinion, and that was often appreciated.

And Feynman went far outside his comfort zone. He did a stint in biology, even though he knew nothing of biology at the time. He went to Brazil and joined a samba band. He sold drawings and paintings for a while. He played drums for a ballet.

I picked up at least three lessons from this book.

  1. Try new things, even if you suck at them. Life is boring if you stick to what you're good at.

  2. Be intellectually honest. Brutally so. It's the only way to do good science, and arguably the only way to live a good life. I've always believed this, and Feynman hammers the point home well.

  3. Even the best and brightest of us feel insecure at times. You shouldn't let it stop you.

On top of all of that, reading of Feynman's time at Los Alamos working on The Bomb was a fascinating piece of history. I highly recommend this book.

And watch as much of Feynman on Youtube as you can find. It never ceases to be fascinating.

Review: Logitech Performance MX

I have a long list of companies I won't buy from, due to horrible customer service experiences or shoddy merchandise. On the other hand, my "Must buy from this company" list is awfully short.

Logitech is one company I'm generally OK buying from. (For now...) I go through computer mouses1 pretty fast, so I end up buying a new one every 4-5 years. Logitech hasn't failed me thus far.

In my opinion, the most important parts of your computer are the ones you interact with: Keyboard, mouse, monitor. I'd rather have a slow computer with a good mouse and keyboard than a fast computer with cheap peripherals. I already have a wonderful keyboard, and I like to have a nice mouse to match.

My latest mouse is the Logitech Performance MX.

Logitech Performance MX

How much can you really improve upon the concept of a mouse? It's a round thing you slide around and click. Well, if you believe the marketing on the box, it seems there are at least three areas for improvement:

  1. Add more buttons.
  2. Make it work on more surfaces.
  3. Gimmicks.

None of the above features matter much to me. What I care about:

  1. Is it comfortable to use all day?
  2. Is it going to last me 4 or 5 years?

Let's hit each of these points.

More buttons

The Performance MX has a lot of buttons. If you believe xev, there are somewhere between 10 and 13 (counting the scroll wheel etc.).

I don't need all of these. I like to have a thumb button for middle-clicking, but this mouse has four of them. What am I going to use all of the extras for? Maybe I'll have one open Emacs.

The browser forward and back thumb buttons work out-of-the-box in Linux, which surprised me. I'm used to having to dork around with xmodmap or xbindkeys. Linux has come a long way.

Then there's a thumb button that's supposed to open Expose on OS X or your app-switcher of choice in your OS. It's in a place that's impossible to press consistently with your thumb, unless you're a contortionist. And it does nothing in Linux by default. Similarly there's a vanishingly small "zoom" button near your thumb. I can't even find this button without looking at the mouse, because it's too small.

There's also horizontal scroll, if you can manage to tilt the wheel to either side. My fingers lack the dexterity to do this easily, and the button is awfully stiff, so I'll never use this.

But hey, better too many buttons than too few.

Surfaces

The marketers wrote "This mouse works on glass!" all over the box, so this must be a selling point of the mouse. But my Logitech G500 also worked on glass, once I upgraded the firmware (via Logitech's own website), so I'm not sure why this feature is being pushed so hard.

Gimmicks

On the Performance MX, you can click this little switch and disengage part of the mechanism that makes the scroll wheel "click". This lets you spin the wheel hard and it'll spin freely forever until you stop it manually, or until its inertia runs out.

Do I really need, and I quote, hyper-fast scrolling? The scroll speed of my mouse wheel has never struck me as a productivity bottleneck. Now that I've played with it, sure, it's mildly interesting. If you scroll at just the right speed, you can go all the way from the top of a Reddit thread to the bottom, while still skimming the text. But I don't need this feature.

But the levels to which marketroids will stoop to hype up a product never ceases to amaze me. The name itself is ridiculous. Performance MX. Who comes up with this?

Comfort

My previous mouse was a G500, and it was really quite big. A bit too big. (And there were these removable weights you could use to adjust the weight of the mouse (the "gimmick" feature of that mouse), which were worthless.)

The MX is bigger, but it has more curves and that helps my hand sit on it better. There's a very large thumb rest, which I like. If you have small hands, you might have problems with this mouse. I like the feel so far.

Will it last?

This mouse feels very solid. It has a nice heft to it. It has metal bits (or sturdy metal-like plastic) in places other mouses have cheap plastic and rubber.

The wheel on my G500 wore down very fast. I was some kind of rubbery plastic, which became rounded off, nicked and worn-down a lot over the years. The wheel on the MX feels like some kind of metal, with nice ridges on the top to provide friction. I'm a bit concerned that the wheel disengagement switch might wear down over time though. The more moving parts, the more opportunity for something to break.

The pads on the bottom are huge: a good 1 inch x 1/8 inch. I love this. Using this on my Icemat mouse pad is very comfy. It slides effortlessly, but leaves me with plenty of control.

Battery

I normally prefer corded mouses. This one is rechargeable. Most rechargeable mouses I've used had some kind of stupid dock you had to jam the mouse into. Not only does it take up desk space, it also wears holes into your mouse over time from being inserted and removed from the dock. The battery connectors also wear down fast, and then it doesn't charge right unless you fiddle with it.

The MX can be charged while you use it, via a USB cable, which is a really good idea. It comes with a short cable, and a long extender cable if you need it. The cable looks like it has a non-standard connector though, which is a bad idea. Why not use mini-USB?

The charger cable is awfully heavy though. I wouldn't want to use this thing while it's plugged in for more than a short time.

I don't know what the battery life is like, because it hasn't run out yet, after a couple days. That's good enough for me.

Price

$120. That's a lot. But taken over 4-5 years, it's not that bad.

And the surgery I'd have to have done on my hands after crippling them via a cheap mouse over the next 40 years would be way more than $120.

Should you buy this?

Sure. I like this mouse so far. It works, and it feels like it'll last a while. Props to Logitech for making good products.

  1. Yes, mouses.

Paludis 0.50.1 Released

Paludis 0.50.1 has been released:

  • ‘cave purge’ and ‘cave resolve’ will no longer either give misleading output or produce a horrible error when a package providing an old style virtual is marked for purging.
  • ‘cave resolve’ will no longer give a horrible error when encountering certain convoluted circular dependencies.

Filed under: paludis releases Tagged: paludis

Posts for Saturday, July 24, 2010

Paludis 0.50.0 Released

Paludis 0.50.0 has been released:

  • We now require a compiler supporting various C++0x features, such as GCC 4.4 or later.
  • format=”exheres” and format=”ebuild” are now known as format=”e”. The old format names remain valid and are not yet deprecated.
  • Arguments in the form -X0 are now parsed as -X 0 rather than -X -0.
  • ‘cave execute-resolution’ now allows a single fetch job and a single execute job to be executed in parallel.
  • ‘cave update-world’ now displays whether or not world is changed.
  • ‘cave execute-resolution’ headings and summaries now include information on the versions being replaced, where appropriate
  • ‘cave resolve’ will now select weakly masked packages rather than being unable to decide. Such packages must be manually unmasked before the resolution can proceed.

Filed under: paludis releases Tagged: paludis
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Unmerge Kde in gentoo

Update

emerge --ask -C `eix -C kde-base --only-names --installed`

nano /etc/make.conf

and delete kde from the USE flags, remove qt3support and qt4 also if you don’t need them anymore

emerge -uavtqND world"

Now you should have just a few kde packages in the list you got as an output of that command, it’s your choice to leave them or unmerge them manually, with unmerge -pv –depclean <atom> you can see what packages pulls in your atom.

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WIPUP 25.07.10 beta released.

What began as a project motivated by the Open Collaboration Services API has really come a long way since it began as a concept submission to KDE’s openDesktop competition. This project was a unique concept for people to share and record what they were working on. Not about showcasing your latest creation – no, rather it is about showcasing the processes behind it: the different ideas, the development, and things that didn’t quite work out in the end. This project is for people who make stuff. People who constantly have ideas bouncing around, juggle their time between various projects and start more than they finish. This project is called WIPUP. WIPUP is a way to conveniently share, critique and track progress on your projects.

WIPUP attained an important milestone today – its beta release. It’s now available for the public to use. WIPUP is a "web 2.0" technology application, to use the cliche term. However more importantly it’s the infrastructure behind and towards a unique Social Desktop tool. For those unfamiliar with what the Social Desktop embodies, allow me to quote:

[The] core idea of the Social Desktop is to connect to your peers in the community, making sharing and exchanging knowledge easier to integrate into applications and the desktop itself. The concept behind the Social Desktop is to bring the power of online communities and group collaboration to desktop applications and the desktop shell itself.

WIPUP is (in terms of this final goal) still in its infancy – there is no desktop client (yet), my plans for KDE integration are still on the drawing board, and no currently existing API implementation. But more important is what does exist, which is the tool – the platform behind all of these future possible interfaces which provides added convenience and flexibility towards any workflow. As such, I’m immensely happy to share this beta with all of you and invite you all to check it out and start using it. WIPUP is also open source and free software – so any interested developers (or anybody wanting to contribute) are welcome to join as well!

Related posts:

  1. WIPUP 21.02.10 released and out in the wild.
  2. WIPUP 27.06.10a released!
  3. WIPUP 19.03.10a released!

Posts for Friday, July 23, 2010

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Linux Sea sources online, cvechecker still in development

First of all, I’ve put the sources for Linux Sea online at GitHub. Not only does that safeguard any latest changes from not hitting my backup in time before my laptop dies (it’s terminal, but I can’t let him go yet ;-) but it also allows people who want to help with it (or translate it) to pull in the sources.

Note that it is still not finished (no spelling and grammar check done yet, still need to add some exercises, etc); once it is, I will tag the sources appropriately.

On the cvechecker state, it is also still under development, but progress is going nicely. Most of the work now is in updating the versions.dat file with information on how to obtain the current version of a package/tool. It is an easy activity – most of the work is in finding out how CVE entries would label a tool (what vendor and product name would be chosen) and because I am too lazy, I am currently only adding those that already have CVE entries assigned to them (so I can just take a look at the correct values).

It is also my first attempt at using autotools. Quite some overkill for such a small project, but why not. At least it allows me to try to do some new things here ;-)

Sun/Oracle Ultra 27 Workstation Discontinued?

I just noticed that the Sun/Oracle Ultra 27 is no longer listed on the Desktops section of Oracles products page.  This is a shame because I’m quite pleased with mine.

This sends a couple of messages:

  1. Oracle doesn’t think Solaris/OpenSolaris is viable on the workstation
  2. Oracle can’t deliver low margin hardware (the prices on these boxes skyrocketed after the acquisition)

It could be a purge while they bump to a new model featuring 6-core Xeons.  Yet more than likely, another victim of the merger.

Share and Enjoy: Digg del.icio.us Slashdot Facebook Reddit StumbleUpon Google Bookmarks FSDaily Twitter email Print PDF

Related posts:

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  2. Biting the Hand That Feeds Granted, I’m not a Groklaw junkie. Lawsuits are the epitome...
  3. Java: The Good Parts A while back, a book entitled JavaScript: The Good Parts...

Posts for Thursday, July 22, 2010

Paludis 0.48.6 Released

Paludis 0.48.6 has been released:

  • If the user explicitly specified an option for the special ‘test’ flag, this would override the build_options magic. This is now fixed.
  • Certain pkg_ functions are no longer skipped for 0-based EAPIs, to work around badly behaving Gentoo ebuilds.
  • If ‘cave show’ displays a masked package, it will now pick a version that is easy to unmask over a higher version that cannot be unmasked.
  • New ‘cave verify’ subcommand for checking whether installed packages have been modified.

Filed under: paludis releases Tagged: paludis
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qemu-user: Turning your dual-core 2.6GHz processor into a dual-core 500MHz processor

I just discovered qemu-user, thanks to lu_zero on #gentoo-embedded. It’s brilliant. They took QEMU’s ability to simulate an entire processor, tossed out the other hardware emulation, and packaged it up. qemu-user’s primary use is for running foreign binaries.

So far, I’ve been running all my stage generation for Neuvoo on the BeagleBoard, which has a 500MHz armv7a processor. Everything compiles very slowly, but at least it’s native and stable.

There’s a couple problems with that setup. First, everything is running off an SDHC card. We’re talking slow. Second, the beagle has 128M of RAM, and after that it’s using the swapfile. Which is on the SDHC card. Now we’re really talking slow.

qemu-user deftly solves these problems. Of course, running stage generation on my hefty 2.6GHz Core2 Duo processor is going to slightly speed up compiling, just because of the dual cores. But not only that: now I have a huge, fast 7200rpm hard-drive to run everything off of, and 4G of RAM (2 of which is almost always cache) to run it all within.

Think of it like this: qemu-user enables you to run a chroot (and possibly other things) for almost any processor on a system of your choice, as though it were running natively.

Setting up qemu-user is a piece of cake, so I won’t go into details here. Just follow these instructions. One thing I didn’t get at first was why they use “USE=static”. The reason is this: if you’re going to be running an armv7a chroot, you need something inside the chroot to be translating (qemu-user). The problem is, that something can’t link dynamically against any libraries, because they’ll all be armv7a libraries. Static linking means the binary is self-contained and portable.

Let me know if there are other cool uses for qemu-user. I’m all ears. :)


Posts for Wednesday, July 21, 2010

3rd and 4th meeting of FSFE Fellowship group Slovenia

The 3rd meeting our Fellowship group was on the 4th of March and was mainly about organizing the DFD. You can read the full minutes (in Slovenian) on the wiki.

The next — 4th — meeting of FSFE Fellowship group Slovenia took place on the 6th of July and although there was only five of us present, it was pretty important.

  1. Money Refund — we divided the money we got refunded for the DFD from the FSFE.
  2. Structure of the FSFE & Fellowship — I explained what I learnt about the structure of the Fellowship and the FSFE and how they relate to each other to others. Since only those who donate to the FSFE are formally Fellows, strictly speaking most people on our mailing list and participating in our meetings aren't Fellows. But since our Fellowship mailing list, meetings and actions are open to anyone, that doesn't bother anyone really. The main thing is that stuff gets done.
  3. Plans for the Near Future — The general vibe is that we would need to be more vocal about emerging privacy and IPR problems and for that that we need more effective communication channels with the outside world. There was a debate whether and how much we should concentrate on Windows/Apple tax and/or si2010.
  4. Regular Meetings — We plan to have regular (probably monthly) meetings on a fixed date in the future. We will discuss the exact date after the summer vacations.
  5. Censured SourceForge — Rok Papež explained that sf.net follows the US embargo and in general disables downloading of free software in certain countries. This of course goes against the basic ideas of free software. Afterwards a short debate arose on the mailing list as well [start of thread]
  6. Digital Agenda, Internet Censorship in the EU — After that I explained a bit about what's happening in the EU concerning censorship (e.g. access to all internet search terms) and the Digital Agenda.
  7. ACTA — A short introduction and promise to post short and informative links to the mailing list on what problem we face with ACTA.
  8. Better Communication — We all felt that to achieve anything we need better means of communication with the outside world. One of the problems is that for (mainstream) media a wiki page and planet of blogs is not good enough. Apart from the guerilla approach — blog, microblog, mailing lists, social networks etc., a solution would be to make a website with its own domain name where we could post our press releases. We are also planning to cooperate even better with other similar-minded groups on activities that are of interest to both.

    There was also a debate whether local portals where citizens can submit suggestions to the government and to the EU could be of use. Milan Lazarevič commented that in theory the idea of participation via e-government is good, but from his experience in practice it's not worth the time. We'll still keep an eye on it though.

  9. Misc. — general chitchat while sipping coffee and juice.

As always the full minutes (in Slovenian) are available on our Fellowship group's wiki page.

Side note: for the past few months the number of subscribers to our mailing list has pretty much stabilised itself to a little over 60.

hook out >> eating chocolate pudding and going to bed...
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Clojure syntax highlighting via SyntaxHighlighter

How do you syntax-highlight Clojure code for display on a website? The best way I can find is SyntaxHighlighter.

Daniel Gómez wrote a brush to give SyntaxHighlighter Clojure support. I tweaked it a bit myself and integrated it into cow-blog. I also converted my favorite color scheme to a SyntaxHighlighter theme. So when I write this code:

(defn- ip
  "Given a request, return the IP.  Looks for an x-forwarded-for
  header, falls back to :remote-addr on the request."
  [request]
  (or (get-in request [:headers "x-forwarded-for"])
      (request :remote-addr)))

You should see something like this:

Syntax highlighting example

...unless you're reading this via RSS, or in a browser without Javascript enabled, in which case you'll see plain, depressing black and white. But that's one nice thing about SyntaxHighlighter. It degrades nicely.

One bad thing about SyntaxHighlighter is that it doesn't play nicely with Markdown. Or rather, Markdown isn't powerful enough to let you specify the class of any markdown-generated HTML tags. If you want the <pre class="brush: clojure"> that SyntaxHighlighter requires, you have to write out the HTML by hand. But I hacked Showdown a bit to let me specify classes more easily, so I can avoid having to do that.

The code for all of this is on github with the rest of my blog.

cygwin essentials

This isn’t really appropriate for a blog entry, because it’s bound to be updated over and over, but I need a place to keep these notes.

Essential packages (not including pre-selected):

  • xinit. Effectively what is called Cygwin/X. (Creates a new shortcut in the start menu called XWin Server that you probably should stick in your startup list.) With this you can run gvim, xterm etc.
  • file
  • git, gitk
  • openssh
  • ping
  • python
  • rsync
  • vim, gvim
  • wget
  • zip
  • make/patch

Decent terminals:

  • mintty
  • puttycyg (ie. putty modded to use locally) You have to get this one separately, but it has a nicer feel to it imo.

Paludis 0.48.5 Released

Paludis 0.48.5 has been released:

  • xattr support was previously looking for attr/xattr.h rather than sys/xattr.h, and so was not being detected on glibc systems without attr installed. This is now corrected.
  • On some systems, the Python bindings were giving dlopen related warnings due to the linker trying to be too clever. This is now worked around.
  • New cave subcommands for scripting: print-id-actions, print-id-masks, print-repository-metadata, print-set.

Filed under: paludis releases Tagged: paludis

enabling VT no longer chrases X on my hp elitebook 8530w

motivation

i always wanted to use VirtualBox with 64bit guests. but this did not work for a very long time. i guess this has something to do with that Quadro FX 770M card.
lspci
01:00.0 VGA compatible controller: nVidia Corporation G96M [Quadro FX 770M] (rev a1)
so on which architecture is my host OS?
arch
x86_64

what were the previous problems?

i’ve always experimented with the bios setting, on my hp bios this is called: “Virtualization Technology” and it can either be enabled or disabled. but for various versions of x11-drivers/nvidia it:

  • did not start X with an error message in /var/log/Xorg.0.log
  • crash the computer with a black screen (and more than average but constant fan noise)

however it was always able to use the xorg driver called ‘nv’ to use the system. only the proprietary nvidia module did not work as expected.

here is a list of driver versions i’ve experimented with (which did NOT work):

  • x11-drivers/nvidia-drivers-180.27
  • x11-drivers/nvidia-drivers-180.29
  • x11-drivers/nvidia-drivers-180.44
  • x11-drivers/nvidia-drivers-180.51
  • x11-drivers/nvidia-drivers-180.60
  • x11-drivers/nvidia-drivers-185.18.36
  • x11-drivers/nvidia-drivers-185.18.36-r1
  • x11-drivers/nvidia-drivers-190.42-r3
  • x11-drivers/nvidia-drivers-190.53
  • x11-drivers/nvidia-drivers-190.53-r1
  • x11-drivers/nvidia-drivers-195.36.24

what did fix it?

installing x11-drivers/nvidia-drivers-256.35 finally fixed it!

what does work?

  • 3d game, so 3d acceleration support is there
  • 2d acceleration does seem to work as well
  • pm-suspend (hibernate-ram) seems to work as well
  • using VirtualBox with a 64 bit image (enabling System->Acceleration->Hardware Virtualization [x] Enable VT-X/AMD-V)
  • mode switch to consoles (alt+f1 to alt+f12) does work and i can see it actually (no black screen)

i hope this driver is somehow stable. currently it’s hardmasked in gentoo.

update: fr 23 jul

using x11-drivers/nvidia-drivers-256.35 did break suspend’s resume with several crashes. i’ve disabled VT in the bios and now i’m using the latest stable release.


Posts for Monday, July 19, 2010

Paludis 0.48.4 Released

Paludis 0.48.4 has been released:

  • ‘cave uninstall’ now accepts wildcards.
  • ‘cave purge’ and ‘cave resolve’ will no longer attempt to purge things that cannot be uninstalled.
  • ‘cave show -t’ now has short options for values.
  • We now tolerate ebuilds that try to output things or die in global scope.

Filed under: paludis releases Tagged: paludis

Posts for Sunday, July 18, 2010

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When True Is Not True Anymore

We all know that accessing uninitialized variables in C and C++ usually leads to some kind of undefined behavior one usually wants to avoid. What I didn’t know until recently is that uninitialized bool values might be especially malicious beasts. To see what they can do to you, take a look at the following program, and try to predict its output:

#include <string>
#include <iostream>

using namespace std;

namespace {

    inline string stringify(const bool value)
    {
        return (value ? "true" : "false");
    }

    struct Struct
    {
        long l;
        bool u;
    };
}

int main()
{
    Struct s;

    if(true != s.u)
        cout << stringify(true) << " != " << stringify(s.u) << endl;
}

Now type g++ stringify.cc -o stringify and run the generated executable. Here is what you might see on some platforms:

$ ./stringify
true != true

Yes, you got that right true != true! I get this behaviour with g++-4.3 and g++-4.4 on Gentoo (x86 and x86_64) as well as with g++-4.1 and g++-4.4 on Ubuntu 9.10 (x86_64). Before attempting to explain what happened here, I want to summarize a few additional facts:

  • Several attempts to make this program shorter without ending up with something boring failed.
  • Turning on optimization causes g++ optimize all if statements away (especially the implicit one in stringify) under the assumption that s.u is false, which again leads to a much more sane output.
  • I could not reproduce this with icc-11.1.

So, what happened? Is g++ broken? Actually the answer is no. Accessing uninitialized memory leads to undefined behavior, and undefined means undefined. In fact the C++0x Final Committee Draft contains a footnote that explicitly mentions the oddity we have just seen:

47) Using a bool value in ways described by this International Standard as “undefined,” such as by examining the value of an
uninitialized automatic object, might cause it to behave as if it is neither true nor false.

This is not that surprising if one considers that at assembler level, a bool is not represented by a single bit, but at least by a byte. An uninitialized byte might have 256 different values, and not just two. One could of course consistently map 0 to false and everything else to true, but this is not what g++ does. To see what I mean, take a look at the following assembler snippet, that g++ generated for the if statement in line 24:

movzbl  -40(%rbp), %eax  # move s.u to eax.
xorl    $1, %eax         # xor eax with 1.
testb	%al, %al         # check if the low byte of eax is 0.
je      .L8              # jump to .L8 if so.

If the jump is taken, the body of the if statement in line 24 is skipped, otherwise it is executed. Now the xorl in line 2 switches the lowest bit in eax, leaving all other bits unchanged. Therefore s.u is considered to be equal to true if and only if it has the byte value 0×01.

Now lets take a look at the assembler that represents the ternary operator in stringify:

cmpb $0, -36(%rbp)    # compare the argument with 0.
je   .L2              # jump to .L2 if the argument is 0.
movl $.LC0, %eax      # store "true" in eax.
jmp  .L3              # jump out.
.L2:
     movl $.LC1, %eax # store "false" in eax.
.L3:

Here g++ maps 0 to false and every other value to true. This means that if the actual byte value of s.u is for example 0xFF (which for some reason is what cgdb keeps telling me locally), the if in line 24 will be taken as if s.u was false, but stringify will behave as if s.u was true.


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EyeOS has an Oxygen theme!

For the uninitiated, EyeOS is a free, open-source desktop implementation right in the browser. I was recently playing around with my EyeOS installation that I forgot I had installed a while back (v1.x) and like what most people do when they try out a new system, I decided to see what other themes they have.

Turns out they have an Oxygen theme! It’s a little dated but I must say I’m impressed. Very impressed.

Now all I have to do is find a practical personal use of EyeOS! Perhaps it might replace a few of my cobbled series of other cloudish hacks.

Related posts:

  1. Plans for E2-Productions.com to turn into a personal cloud?
  2. WIPUP: Created my own KDE Plasma theme called Plix

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6 years! + grrbl news

It’s been exactly 6 years (!) since I started this blog: http://www.void.gr/kargig/blog/2004/07/18/hey-ho-lets-go/

Too bad I don’t have as much free time as I had in the past to post about interesting things. It’s a also a time for a redesign…I think I have the same theme for more than 5 years…

Anyway, GrRBL got redesigned yesterday by Christine and now there’s also a submission form for those who prefer it over forwarding emails. I also merged my other Greek spammers email addresses blacklist with lists by a couple of friends (postmasters) and now the list contains over 300 unique, verified, spammer addresses. This list is not yet public but if you are interested to use it and test it, give me a shout and I’ll give you access.

Posts for Saturday, July 17, 2010

"mini-manifesto"

Over the last few days, I've incorporated configurable compression format support into Metro, and I am now creating Funtoo stages using the .xz compression format (these patches are in git, and not yet in an official Metro release.) On the mirrors, this is resulting in a very nice 40% size decrease over bzip2, with stage3's weighing in at around 95MB.

But it gets better. Our old git-based Portage snapshots compressed with bzip2 used to weigh in at a whopping 413MB. By migrating to mini-Manifests, xz compression and adding some additional Funtoo optimizations, our Portage tree snapshot files are now weighing in at a svelte 25MB :)

That's 6% of their original size, or about 16x smaller - more than an order of magnitude difference. This will make the snapshot download go a lot faster - and in the coming months I hope to be able to reduce the Portage snapshot size even further, both in .xz form and on-disk, uncompressed. Stay tuned.

ANTLR via Clojure

ANTLR is a parser-generator for Java. Can you use it from Clojure? Sure. Would you want to? Maybe.

Here's how to do it, start to finish.

For the impatient among you, all of the code below is on github.

git clone git://github.com/briancarper/clojure-antlr-example.git

Setup

I'm going to use leiningen for this project. Let's make a new project called antlr-example.

$ lein new antlr-example

Now edit project.clj to tell lein to fetch ANTLR (and Swank, since I use Emacs). ANTLR is available in Maven Central, so leiningen can grab it for us.

(defproject antlr-example "1.0.0-SNAPSHOT"
  :description "ANTLR Clojure example"
  :dependencies [[org.clojure/clojure "1.2.0-beta1"]
                 [org.clojure/clojure-contrib "1.2.0-beta1"]
                 [org.antlr/antlr "3.2"]]
  :dev-dependencies [[swank-clojure "1.3.0-SNAPSHOT"]])

Then a simple lein deps will download all of the jars and all of ANTLR's dependencies for you. Handy. You end up with this:

antlr-example
├── classes
├── lib
│   ├── antlr-2.7.7.jar
│   ├── antlr-3.2.jar
│   ├── antlr-runtime-3.2.jar
│   ├── clojure-1.2.0-beta1.jar
│   ├── clojure-contrib-1.2.0-beta1.jar
│   ├── stringtemplate-3.2.jar
│   └── swank-clojure-1.3.0-20100502.112537-1.jar
├── project.clj
├── README
├── src
│   └── antlr_example
│       └── core.clj
└── test
    └── antlr_example
        └── core_test.clj

Interactive development? Kind of...

One weakness of ANTLR via Clojure is that development is no longer REPL-based. The ANTLR workflow is essentially a Java workflow:

  1. Write a grammar
  2. Compile the grammar into Java source code
  3. Compile the Java source into Java .class files

Until and unless someone writes a Clojure backend for ANTLR, so that ANTLR can directly produce Clojure source code (and it seems like it should be possible to do so), you're back to a write/compile/debug cycle. Joy!

This also means restarting your REPL every time you alter and recompile your grammar.

But the good thing is that there's ANTLR Works, a free GUI for writing ANTLR grammars. ANTLR Works has an interactive interpreter, which is nice, and it has a compiler/debugger, which is better. These let you test your grammar as you write it, by trying inputs and seeing the resulting AST in graphical form, which is as good as you could hope for. This is actually even a bit nicer than a plaintext REPL.

Plus, it has a nice editor for ANTLR code. Emacs was freaking out over the indentation on a few grammars I tried.

So a decent workflow might be to write and debug your grammar in ANTLR Works, then fire up Clojure afterwards to consume the parser.

A simple grammar

We're going to use a classic textbook example, simple arithmetic expressions, as a proof of concept.

For Java (hence Clojure) to find this code, it has to be named properly and it has to be put into the proper directory on CLASSPATH. I'm going to create the grammar file src/antlr_example/Expr.g. (My grammar file, Java source, and Clojure source will all be jumbled together in src. You can easily do it differently if this offends your sensibilities.)

The first line in the grammar names the grammar (and the classes we'll consume from Clojure):

grammar Expr;

Clojure being a s-exp based language, it might be nice to have ANTLR generate an AST. ANTLR has good support for this:

options {
    output=AST;
    ASTLabelType=CommonTree;
}

Helper tokens for the grammar:

tokens {
    PLUS = '+';
    MINUS = '-';
    MULT = '*';
    DIV = '/';
}

These next lines are important. We want to generate classes antlr_example.ExprLexer and antlr_example.ExprParser, so we have to set our code up in the proper package, antlr_example.

This code includes both a parser and lexer, so you have to set the package for both in ANTLR.

@header        {package antlr_example;}
@lexer::header {package antlr_example;}

And then the grammar itself, which is simple:

expr: term ((PLUS | MINUS)^ term)* ;
term: factor ((MULT | DIV)^ factor)* ;
factor: INT ;

INT :   '0'..'9'+ ;
WS  :   ( ' ' | '\t' | '\r' | '\n')+ {$channel=HIDDEN;} ;

One thing to note is (PLUS | MINUS)^; the ^ here tells ANTLR to treat (PLUS | MINUS) as the parent of the node created for this rule. This means the term on either side will be children of this node. We do the same for MULT and DIV. This will give us a nice tree. Otherwise you end up with a flat list of tokens.

{$channel=HIDDEN;} for the whitespace rule tells ANTLR to ignore whitespace, also useful.

If you use ANTLR Works with this grammar, on the input 1 + 2 * 3 + 4, you can see that it works OK.

ANTLR

That was an awful lot of boilerplate and setup and ugly syntax though. See how much Clojure spoils you? But for a simple grammar, it's not that much code.

For a longer or more complex grammar, you might end up having to embed inline Java code into your ANTLR grammar. But again, that's not the end of the world.

Compile everything

Once you write your grammar (presumably in ANTLR Works), you can generate the Java code and compile it thusly (run from your project's base directory):

$ java -cp 'lib/*' org.antlr.Tool src/antlr_example/Expr.g
$ javac -cp 'lib/*' -d classes src/antlr_example/Expr{Lexer,Parser}.java

The first command should generate src/antlr_example/ExprLexer.java and src/antlr_example/ExprParser.java.

The second command should spew tons of class files into classes/. Leiningen and other tools generally include classes/ on your CLASSPATH, so that's a good place for them. Again putting them here is a fairly arbitrary decision on my part. You can put the source and class files anywhere, as long as the class files end up on your CLASSPATH when you start Clojure.

If you're really so lazy that you can't run these two commands, you could use ANTLR Works' built-in commands for compiling your grammar. The only way I could find to invoke it was by starting a Debug session, which compiled my code as a side-effect. And it spews files into places I don't want them, so I like the command line version better.

You could probably also set up a leiningen task for this if you're re-running these commands a lot, or configure your build tool of choice to do the same. I didn't bother.

Now (re)start your REPL and let's write some Clojure.

Clojure code

It's pretty easy to consume an ANTLR parser from Clojure. I'm putting the code below into src/antlr_example/core.clj

First import the classes. You probably need some ANTLR helper classes to set up the parser; you also need the classes you just generated.

(ns antlr-example.core
  (:import (org.antlr.runtime ANTLRStringStream
                              CommonTokenStream)
           (antlr_example ExprLexer ExprParser)))

Here's a function to parse a string using our new parser class:

(defn parse-expr [s]
  (let [lexer (ExprLexer. (ANTLRStringStream. s))
        tokens (CommonTokenStream. lexer)
        parser (ExprParser. tokens)]
    (.expr parser)))

.expr is the name of the top-level rule we want to invoke from our grammar. The rest is boilerplate; just plug in the proper class names.

So let's see what we've got.

user> (in-ns 'antlr-example.core)
#<Namespace antlr-example.core>
antlr-example.core> (parse-expr "1 + 2 * 3 + 4")
#<expr_return antlr_example.ExprParser$expr_return@3755e508>

Er, OK. A good way to inspect Java objects is via bean, so let's view the guts of this object:

antlr-example.core> (bean *1)
{:tree #<CommonTree +>,
 :template nil,
 :stop #<CommonToken [@12,12:12='4',<8>,1:12]>,
 :start #<CommonToken [@0,0:0='1',<8>,1:0]>,
 :class antlr_example.ExprParser$expr_return}

I see. We set up our grammar above to generate an AST, so :tree on the bean will give us that. This translates to .getTree on the Java object. So we can edit our function to call this for us, since we always want to have the tree.

(defn parse-expr [s]
  (let [lexer (ExprLexer. (ANTLRStringStream. s))
        tokens (CommonTokenStream. lexer)
        parser (ExprParser. tokens)]
    (.getTree (.expr parser))))

Now:

antlr-example.core> (parse-expr "1 + 2 * 3 + 4")
#<CommonTree +>

OK, it appears we have one node of the tree, the root node. Let's peak inside:

antlr-example.core> (bean *1)
{:children #<ArrayList [+, 4]>,
 :childIndex -1,
 :parent nil,
 :text "+",
 :nil false,
 :token #<CommonToken [@10,10:10='+',<4>,1:10]>,
 :class org.antlr.runtime.tree.CommonTree,
 :ancestors nil,
 :tokenStartIndex 0,
 :type 4,
 :childCount 2,
 :charPositionInLine 10,
 :tokenStopIndex 12,
 :line 1}

Looks like our children are in :children on the bean, which translates to .getChildren on the Java object. And we have .getChildCount to count the children, and .getText to get the text of the current node. (We could've learned all of this by reading the javadocs for ANTLR too, but what fun is that?)

Since we're dealing with a tree, we can use tree-seq in Clojure to get a flat list of all the tokens in our text.

tree-seq takes three arguments. First a function that returns true if the node has children, false otherwise. Second a function that returns the children for a node that has children. Third the root node of our tree.

That'll give us a seq of tree nodes. So finally we call .getText on all the resulting nodes in the list, to turn node objects into strings.

Easy enough:

(defn node-seq [x]
  (map #(.getText %)
   (tree-seq #(not (zero? (.getChildCount %)))
             #(.getChildren %)
             x)))

antlr-example.core> (node-seq (parse-expr "1 + 2 * 3 + 4"))
("+" "+" "1" "*" "2" "3" "4")

But that's no good. We lost our tree structure.

We'd rather have something like nested vectors or lists. It's easy enough to roll something by hand. This should do it:

(defn AST [node]
  (if (zero? (.getChildCount node))
    (.getText node)
    (let [children (map AST (.getChildren node))
          txt (.getText node)]
      (if txt
        (cons txt children)
        children))))

antlr-example.core> (AST (parse-expr "1 + 2 * 3 + 4"))
("+" ("+" "1" ("*" "2" "3")) "4")

That's better, but it's a list of strings. These strings all happen to be literal representations of Clojure objects, so a call to read-string in the proper places should give us something we can work with:

(defn AST [node]
  (if (zero? (.getChildCount node))
    (read-string (.getText node))
    (let [children (map AST (.getChildren node))
          txt (read-string (.getText node))]
      (if txt
        (apply list txt children)
        children))))

antlr-example.core> (AST (parse-expr "1 + 2 * 3 + 4"))
(+ (+ 1 (* 2 3)) 4)

Hey look, now we have something we can evaluate.

antlr-example.core> (eval *1)
11

Yeah I kind of planned that ahead. If you had a more complex grammar, you might not get away with something quite this easy.

Conclusion

The advantage of ANTLR is that it's mature, widely used, actively developed, and well-documented. (There's a whole book about ANTLR, The Definitive ANTLR Reference by Terence Parr.) There's also a lot of tooling available for it, not just ANTLR Works, but plugins for other Java IDEs.

The disadvantage is that it's a Java library, and as always, there will be some friction when consuming it from Clojure. But it's not that bad.

For pure-Clojure parser generator alternatives, there are fnparse and clojure-pg, neither of which I've tried much.

Posts for Thursday, July 15, 2010

Generic Lambda Visitors, or Writing Haskell in C++0x (Part 4)

In part three, we built a generic alternative to visitors that used lambdas. Now we’ll do a few largely pointless but potentially interesting bits of trickery.

Previously, we worked out the return type of our when function by looking at the return type of the first lambda. Let’s get a bit more adventurous. We’ll make a class that works out what the return type should be.

template <typename... Funcs_>
struct WhenReturnType;

template <typename Val_, typename... Funcs_>
typename WhenReturnType<Funcs_...>::Type
when(Val_ && val, Funcs_ && ... funcs)
{
    LambdaVisitor<typename WhenReturnType<Funcs_...>::Type, Funcs_...> visitor(funcs...);
    return accept_returning<typename WhenReturnType<Funcs_...>::Type>(val, visitor);
}

For starters, we’ll say that if the first function returns void, our return type is void; otherwise, it’s an error:

template <typename... Funcs_>
struct WhenReturnType;

template <typename FirstFunc_, typename... Funcs_>
struct WhenReturnType<FirstFunc_, Funcs_...>
{
    typedef typename std::conditional<
        std::is_same<typename LambdaParameterTypes<FirstFunc_>::ReturnType, void>::value,
        void,
        UnknownTypeForOneOf
        >::type Type;
};

Let’s get a bit more adventurous. What if one lambda returns an int, and another returns a long? We could return a long. Similarly, if one returns a char, and another returns a double, we could return a double. And that’s what std::common_type does:

template <typename... Funcs_>
struct WhenReturnType;

template <typename FirstFunc_, typename... Funcs_>
struct WhenReturnType<FirstFunc_, Funcs_...>
{
    typedef typename std::conditional<
        std::is_same<typename LambdaParameterTypes<FirstFunc_>::ReturnType, void>::value,
        void,
        typename std::common_type<typename LambdaParameterTypes<Funcs_>::ReturnType ...>::type
        >::type Type;
};

Except, std::common_type isn’t useful for user defined types. What we really want to do is say “return a type that holds a value of any of the return types we could get”. If only we’d just spent the past few pages developing such a type…

First, though, let’s work out how to just return a value of a given type, if all the return types are the same:

template <typename... Funcs_>
struct AllReturnSame;

template <typename Func_>
struct AllReturnSame<Func_>
{
    enum { value = true };
};

template <typename A_, typename B_, typename... Funcs_>
struct AllReturnSame<A_, B_, Funcs_...>
{
    enum { value = std::is_same<typename LambdaParameterTypes<A_>::ReturnType, typename LambdaParameterTypes<B_>::ReturnType>::value &&
        AllReturnSame<B_, Funcs_...>::value };
};

template <typename... Funcs_>
struct WhenReturnType;

template <typename FirstFunc_, typename... Funcs_>
struct WhenReturnType<FirstFunc_, Funcs_...>
{
    typedef typename std::conditional<
        AllReturnSame<FirstFunc_, Funcs_...>::value,
        typename LambdaParameterTypes<FirstFunc_>::ReturnType,
        UnknownTypeForOneOf
        >::type Type;
};

Note that we no longer have to handle void specially here.

Next, we’ll add in handling for the easy case where all the lambdas return different things:

template <typename... Funcs_>
struct WhenReturnType;

template <typename FirstFunc_, typename... Funcs_>
struct WhenReturnType<FirstFunc_, Funcs_...>
{
    typedef typename std::conditional<
        AllReturnSame<FirstFunc_, Funcs_...>::value,
        typename LambdaParameterTypes<FirstFunc_>::ReturnType,
        OneOf<typename LambdaParameterTypes<FirstFunc_>::ReturnType, typename LambdaParameterTypes<Funcs_>::ReturnType...>
        >::type Type;
};

Again, note the complex expression used to the left of a ... operator.

Unfortunately, this barfs spectacularly if, say, two lambdas return an int and one returns a string. We need a way of removing the duplicates from a type list. It’s not possible to pass around two type lists directly, so we’ll first need a helper struct that stores all the types we’ve seen so far:

template <typename...>
struct SeenSoFar
{
};

Next, let’s have a helper that tells us whether a particular type is already in a SeenSoFar list:

template <typename...>
struct AlreadySeen;

template <typename Query_>
struct AlreadySeen<SeenSoFar<>, Query_>
{
    enum { value = false };
};

template <typename Query_, typename A_, typename... Rest_>
struct AlreadySeen<SeenSoFar<A_, Rest_...>, Query_>
{
    enum { value = std::is_same<Query_, A_>::value || AlreadySeen<SeenSoFar<Rest_...>, Query_>::value };
};

We also need to be able to create a new SeenSoFar with an extra type:

template <typename...>
struct ExtendSeenSoFar;

template <typename New_, typename... Current_>
struct ExtendSeenSoFar<New_, SeenSoFar<Current_...> >
{
    typedef SeenSoFar<Current_..., New_> Type;
};

Now we can put all that together:

template <typename...>
struct OneOfDeduplicatorBuilder;

template <typename... Values_>
struct OneOfDeduplicatorBuilder<SeenSoFar<Values_...> >
{
    typedef OneOf<Values_...> Type;
};

template <typename SeenSoFar_, typename Next_, typename... Funcs_>
struct OneOfDeduplicatorBuilder<SeenSoFar_, Next_, Funcs_...>
{
    typedef typename std::conditional<
        AlreadySeen<SeenSoFar_, Next_>::value,
        typename OneOfDeduplicatorBuilder<SeenSoFar_, Funcs_...>::Type,
        typename OneOfDeduplicatorBuilder<typename ExtendSeenSoFar<Next_, SeenSoFar_>::Type, Funcs_...>::Type
            >::type Type;
};

template <typename... Funcs_>
struct OneOfDeduplicator
{
    typedef typename OneOfDeduplicatorBuilder<SeenSoFar<>, Funcs_...>::Type Type;
};

And we can use it:

template <typename... Funcs_>
struct WhenReturnType;

template <typename FirstFunc_, typename... Funcs_>
struct WhenReturnType<FirstFunc_, Funcs_...>
{
    typedef typename std::conditional<
        AllReturnSame<FirstFunc_, Funcs_...>::value,
        typename LambdaParameterTypes<FirstFunc_>::ReturnType,
        typename OneOfDeduplicator<
            typename LambdaParameterTypes<FirstFunc_>::ReturnType,
            typename LambdaParameterTypes<Funcs_>::ReturnType ...>::Type
        >::type Type;
};

Letting us do horrible things like:

struct SomeType
{
};

int main(int, char *[])
{
    OneOf<int, std::string, SomeType> s(123);

    std::cout << when(
            when(s,
                [] (int & x)               -> std::string { return std::string(++x, 'x'); },
                [] (std::string & x)       -> int         { x.append(" spanker"); return x.length(); },
                [] (const SomeType &)      -> int         { return 42; }
                ),
            [] (const int x)           -> int { return x; },
            [] (const std::string & x) -> int { return x.length(); }
            ) << std::endl;

    return EXIT_SUCCESS;
}

You’ll note we’re explicitly specifying the return types. This is because std::string::length() probably doesn’t return an int, and our code does overload resolution on references, which allows conversions for classes but not integral types. Fixing this in a sane way is left as an easy exercise for the reader — one possibility is to see if the return types of all the lambdas have a std::common_type, and using that rather than a OneOf if they do. Implementing this is left to the reader; in the mean time, our code in full looks like:

#include <memory>
#include <type_traits>
#include <utility>

struct UnknownTypeForOneOf;

template <typename Want_, typename... Types_>
struct SelectOneOfType;

template <typename Want_>
struct SelectOneOfType<Want_>
{
    typedef UnknownTypeForOneOf Type;
};

template <typename Want_, typename Try_, typename... Rest_>
struct SelectOneOfType<Want_, Try_, Rest_...>
{
    typedef typename std::conditional<
        std::is_same<Want_, Try_>::value,
        Try_,
        typename SelectOneOfType<Want_, Rest_...>::Type
            >::type Type;
};

template <typename Type_>
struct ParameterTypes;

template <typename C_, typename R_, typename P_>
struct ParameterTypes<R_ (C_::*)(P_)>
{
    typedef P_ FirstParameterType;
    typedef R_ ReturnType;
};

template <typename C_, typename R_, typename P_>
struct ParameterTypes<R_ (C_::*)(P_) const>
{
    typedef P_ FirstParameterType;
    typedef R_ ReturnType;
};

template <typename Lambda_>
struct LambdaParameterTypes
{
    typedef typename ParameterTypes<decltype(&Lambda_::operator())>::FirstParameterType FirstParameterType;
    typedef typename ParameterTypes<decltype(&Lambda_::operator())>::ReturnType ReturnType;
};

template <typename Type_>
struct OneOfVisitorVisit
{
    virtual void visit(Type_ &) = 0;
};

template <typename... Types_>
struct OneOfVisitor :
    OneOfVisitorVisit<Types_>...
{
};

template <typename Visitor_, typename Underlying_, typename Result_, typename... Types_>
struct OneOfVisitorWrapperVisit;

template <typename Visitor_, typename Underlying_, typename Result_>
struct OneOfVisitorWrapperVisit<Visitor_, Underlying_, Result_> :
    Visitor_
{
    Underlying_ & underlying;
    std::function<Result_ ()> execute;

    OneOfVisitorWrapperVisit(Underlying_ & u) :
        underlying(u)
    {
    }
};

template <typename Visitor_, typename Underlying_, typename Result_, typename Type_, typename... Rest_>
struct OneOfVisitorWrapperVisit<Visitor_, Underlying_, Result_, Type_, Rest_...> :
    OneOfVisitorWrapperVisit<Visitor_, Underlying_, Result_, Rest_...>
{
    OneOfVisitorWrapperVisit(Underlying_ & u) :
        OneOfVisitorWrapperVisit<Visitor_, Underlying_, Result_, Rest_...>(u)
    {
    }

    Result_ visit_returning(Type_ & t)
    {
        return this->underlying.visit(t);
    }

    virtual void visit(Type_ & t)
    {
        this->execute = std::bind(&OneOfVisitorWrapperVisit::visit_returning, this, std::ref(t));
    }
};

template <typename Underlying_, typename Result_, typename... Types_>
struct OneOfVisitorWrapper :
    OneOfVisitorWrapperVisit<OneOfVisitor<Types_...>, Underlying_, Result_, Types_...>
{
    OneOfVisitorWrapper(Underlying_ & u) :
        OneOfVisitorWrapperVisit<OneOfVisitor<Types_...>, Underlying_, Result_, Types_...>(u)
    {
    }
};

template <typename... Types_>
struct OneOfValueBase
{
    virtual ~OneOfValueBase() = 0;

    virtual void accept(OneOfVisitor<Types_...> &) = 0;
    virtual void accept(OneOfVisitor<const Types_...> &) const = 0;
};

template <typename... Types_>
OneOfValueBase<Types_...>::~OneOfValueBase() = default;

template <typename Type_, typename... Types_>
struct OneOfValue :
    OneOfValueBase<Types_...>
{
    Type_ value;

    OneOfValue(const Type_ & type) :
        value(type)
    {
    }

    virtual void accept(OneOfVisitor<Types_...> & visitor)
    {
        static_cast<OneOfVisitorVisit<Type_> &>(visitor).visit(value);
    }

    virtual void accept(OneOfVisitor<const Types_...> & visitor) const
    {
        static_cast<OneOfVisitorVisit<const Type_> &>(visitor).visit(value);
    }
};

template <typename... Types_>
class OneOf
{
    private:
        std::unique_ptr<OneOfValueBase<Types_...> > _value;

    public:
        template <typename Type_>
        OneOf(const Type_ & value) :
            _value(new OneOfValue<typename SelectOneOfType<Type_, Types_...>::Type, Types_...>{value})
        {
        }

        OneOf(const OneOf & other) = delete;

        OneOf(OneOf && other) :
            _value(std::move(other._value))
        {
        }

        template <typename Type_>
        OneOf & operator= (const Type_ & value)
        {
            _value.reset(new OneOfValue<typename SelectOneOfType<Type_, Types_...>::Type, Types_...>{value});
            return *this;
        }

        OneOf & operator= (const OneOf & other) = delete;

        OneOf & operator= (OneOf && other)
        {
            _value = std::move(other._value);
            return *this;
        }

        OneOfValueBase<Types_...> & value()
        {
            return *_value;
        }

        const OneOfValueBase<Types_...> & value() const
        {
            return *_value;
        }
};

template <typename Visitor_, typename Result_, typename OneOf_>
struct OneOfVisitorWrapperTypeFinder;

template <typename Visitor_, typename Result_, typename... Types_>
struct OneOfVisitorWrapperTypeFinder<Visitor_, Result_, const OneOf<Types_...> &>
{
    typedef OneOfVisitorWrapper<Visitor_, Result_, const Types_...> Type;
};

template <typename Visitor_, typename Result_, typename... Types_>
struct OneOfVisitorWrapperTypeFinder<Visitor_, Result_, OneOf<Types_...> &>
{
    typedef OneOfVisitorWrapper<Visitor_, Result_, Types_...> Type;
};

template <typename Result_, typename OneOf_, typename Visitor_>
Result_
accept_returning(OneOf_ && one_of, Visitor_ && visitor)
{
    typename OneOfVisitorWrapperTypeFinder<Visitor_, Result_, OneOf_>::Type visitor_wrapper(visitor);
    one_of.value().accept(visitor_wrapper);
    return visitor_wrapper.execute();
}

template <typename OneOf_, typename Visitor_>
void accept(OneOf_ && one_of, Visitor_ && visitor)
{
    accept_returning<void>(one_of, visitor);
}

template <typename Result_, typename... Funcs_>
struct LambdaVisitor;

template <typename Result_>
struct LambdaVisitor<Result_>
{
    void visit(struct NotReallyAType);
};

template <typename Result_, typename Func_, typename... Rest_>
struct LambdaVisitor<Result_, Func_, Rest_...> :
    LambdaVisitor<Result_, Rest_...>
{
    Func_ & func;

    LambdaVisitor(Func_ & f, Rest_ & ... rest) :
        LambdaVisitor<Result_, Rest_...>(rest...),
        func(f)
    {
    }

    Result_ visit(typename LambdaParameterTypes<Func_>::FirstParameterType & v)
    {
        return func(v);
    }

    using LambdaVisitor<Result_, Rest_...>::visit;
};

template <typename... Funcs_>
struct AllReturnSame;

template <typename Func_>
struct AllReturnSame<Func_>
{
    enum { value = true };
};

template <typename A_, typename B_, typename... Funcs_>
struct AllReturnSame<A_, B_, Funcs_...>
{
    enum { value = std::is_same<typename LambdaParameterTypes<A_>::ReturnType, typename LambdaParameterTypes<B_>::ReturnType>::value &&
        AllReturnSame<B_, Funcs_...>::value };
};

template <typename...>
struct SeenSoFar
{
};

template <typename...>
struct ExtendSeenSoFar;

template <typename New_, typename... Current_>
struct ExtendSeenSoFar<New_, SeenSoFar<Current_...> >
{
    typedef SeenSoFar<Current_..., New_> Type;
};

template <typename...>
struct AlreadySeen;

template <typename Query_>
struct AlreadySeen<SeenSoFar<>, Query_>
{
    enum { value = false };
};

template <typename Query_, typename A_, typename... Rest_>
struct AlreadySeen<SeenSoFar<A_, Rest_...>, Query_>
{
    enum { value = std::is_same<Query_, A_>::value || AlreadySeen<SeenSoFar<Rest_...>, Query_>::value };
};

template <typename...>
struct OneOfDeduplicatorBuilder;

template <typename... Values_>
struct OneOfDeduplicatorBuilder<SeenSoFar<Values_...> >
{
    typedef OneOf<Values_...> Type;
};

template <typename SeenSoFar_, typename Next_, typename... Funcs_>
struct OneOfDeduplicatorBuilder<SeenSoFar_, Next_, Funcs_...>
{
    typedef typename std::conditional<
        AlreadySeen<SeenSoFar_, Next_>::value,
        typename OneOfDeduplicatorBuilder<SeenSoFar_, Funcs_...>::Type,
        typename OneOfDeduplicatorBuilder<typename ExtendSeenSoFar<Next_, SeenSoFar_>::Type, Funcs_...>::Type
            >::type Type;
};

template <typename... Funcs_>
struct OneOfDeduplicator
{
    typedef typename OneOfDeduplicatorBuilder<SeenSoFar<>, Funcs_...>::Type Type;
};

template <typename... Funcs_>
struct WhenReturnType;

template <typename FirstFunc_, typename... Funcs_>
struct WhenReturnType<FirstFunc_, Funcs_...>
{
    typedef typename std::conditional<
        AllReturnSame<FirstFunc_, Funcs_...>::value,
        typename LambdaParameterTypes<FirstFunc_>::ReturnType,
        typename OneOfDeduplicator<
            typename LambdaParameterTypes<FirstFunc_>::ReturnType,
            typename LambdaParameterTypes<Funcs_>::ReturnType ...>::Type
        >::type Type;
};

template <typename Val_, typename... Funcs_>
typename WhenReturnType<Funcs_...>::Type
when(Val_ && val, Funcs_ && ... funcs)
{
    LambdaVisitor<typename WhenReturnType<Funcs_...>::Type, Funcs_...> visitor(funcs...);
    return accept_returning<typename WhenReturnType<Funcs_...>::Type>(val, visitor);
}

Filed under: OneOf Tagged: c++, c++0x, lambdas, metaprogramming, templates, variadic templates, visitor pattern

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