fidzu : smartphone

Posted by Jeff Bailey, AOSP Engineering Manager; Ally Sillins, AOSP Program Manager; Kris Hildrum, Open Source Code Search Tech Lead; Jay Sachs, Kythe Tech Lead/Manager

Searching for "it's all about the code" open source on Google returns more than a million hits. Today we're introducing a public code search tool for the Android Open Source Project (AOSP).
Link: https://cs.android.com
The Android repository is made up of a collection of git repositories which are managed together using our 'repo' tool. Because of this, most tools (such as github, gitweb, etc) can't see the source code the way that it's laid out when it's checked out on the system. In partnership with our colleagues who run Google's internal Code Search and Kythe, we're pleased to present a code search tool that presents a view of all of the Android source code as you actually use it.
Here are some features you can take advantage of starting today:

• View the source code
• Navigate cross-references across the entire code base that allow you to click through one part of the source code to another
• Switch between Android's open source branches (not all branches will have cross-reference information)
• View tool documentation on https://source.android.com/setup/contribute/code-search

This is the beginning of our journey, and while today not all parts of the Android code base are cross-referenced, you can expect to see this grow over time.
We hope this makes it easier to engage with the Android code base!

10 Dec 2019 10:00pm GMT

Posted by Paul Lammertsma, Developer Advocate

Technology has changed the way media and entertainment is accessed and consumed in the home. While the living room experience is evolving with the addition of smart devices, TVs still remain the largest and most frequently used screen for watching content.

When Android TV was first introduced in 2014, we set out to bring the best of Android into the connected home on the TV. We worked closely with the developer community to grow our content and app ecosystem and bring users the content they want. Since then, we've seen tremendous momentum with OEM and operator partners as well as consumer adoption worldwide.

Today, we are bringing Android API level 29 with the recent performance and security updates made with Android 10 to Android TV. We're excited to provide faster updates through Project Treble and more secure storage with encrypted user data. TLS 1.3 by default also brings better performance benefits and is up to date with the TLS standard. In addition, Android 10 includes hardening for several security-critical areas of the platform.

ADT-3

To make sure developers have the ability to build and test Android TV app implementations on Android 10 prior to rollout, we're introducing a new, developer-focused streaming media device called ADT-3.

With a quad-core A53, 2GB of DDR3 memory and 4Kp60 HDR HDMI 2.1 output, we've designed this pre-certified TV dongle with updates and security patches to help developers design for the next generation of Android TV devices. By providing a way to test on physical and up to date hardware, developers can better validate their Android TV app's compatibility.

ADT-3 will be made available to developers in the coming months for purchase online through an OEM partner.

10 Dec 2019 5:00pm GMT

Posted by David Winer, Kotlin Product Manager

When we announced Kotlin as a supported language for Android, there was a tremendous amount of excitement among developers. Since then, there has been a steady increase in the number of developers using Kotlin. Today, we're proud to say nearly 60% of the top 1,000 Android apps contain Kotlin code, with more and more Android developers introducing safer and more concise code using Kotlin.

During this year's I/O, we announced that Android development will be Kotlin-first, and we've stood by that commitment. This is one of the reasons why Android is the gold partner for this year's KotlinConf.

Seamless Kotlin on Android

In 2019, we focused on making programming in Kotlin on Android a seamless experience, with modern Kotlin-first APIs across the Android platform. Earlier this year, we launched a developer preview of Jetpack Compose, a modern UI toolkit for Android built using a Kotlin domain-specific language (DSL). We also incorporated coroutines into several of the flagship Jetpack libraries, including Room and Lifecycle. Finally, we brought Kotlin extensions (KTX) to even more major Google libraries, including Firebase and Play Core.

On the tooling side, we strengthened our commitment to Kotlin in Android Studio and the Android build pipeline. Significant updates to R8 (the code shrinker for Android) brought the ability to detect and handle Kotlin-specific bytecode patterns. Support was added for .kts Gradle build scripts in Android Studio, along with improved Kotlin support in Dagger. We worked closely with the JetBrains team to optimize support for the Kotlin plugin, and make the Kotlin editing experience in Android Studio fluid and fast.

Better Kotlin learning

This year we've also invested in quality Kotlin on Android learning content.

We released two free video learning courses in partnership with Udacity: Developing Android Apps in Kotlin and Advanced Android in Kotlin. This content was also released as the Codelab courses Android Kotlin Fundamentals and Advanced Android in Kotlin, for those who prefer text-based learning. The popular Kotlin Bootcamp for Programmers Udacity course was also published as a Codelabs course, helping provide a Kotlin foundation for non-Kotlin developers. Kotlin-based instructional Codelabs were also created for topics including Material Design, Kotlin coroutines, location, refactoring to Kotlin, billing in Kotlin, and Google Pay in Kotlin. It hasn't been just about new content: we've updated Kotlin Codelab favorites to take advantage of important features such as coroutines.

Looking ahead

In 2020, Android development will continue to be Kotlin-first. We've been listening to your feedback, and will continue partnering with JetBrains to improve your experience with Kotlin.

This includes working with JetBrains to improve the Kotlin compiler over the next year. Our teams are making the compiler more extensible with a new backend, and making your builds faster with a significantly faster frontend. We're also working with many of the largest annotation processors to make compilation faster for Kotlin code. You can also expect more Kotlin-first updates to Android, including more Jetpack libraries that make use of Kotlin features such as coroutines.

Thank you for letting us be part of your app development journey this year. We look forward to continuing the journey with you in 2020.

06 Dec 2019 7:00pm GMT

Lets say you have mesh data in the typical format, triangulated, vertex buffer and index buffer. E. g. something like

>>> vertices

[[[ 46.27500153  19.2329998   48.5       ]]

 [[  7.12050009  15.28199959  59.59049988]]

 [[ 32.70849991  29.56100082  45.72949982]]

 ..., 

>>> indices

[[1068 1646 1577]
 [1057  908  938]
 [ 420 1175  237]
 ..., 

Typically you would need to feed it into OpenGL to get an image out of it. However, there are occasions when setting up OpenGL would be too much hassle or when you deliberately want to render on the CPU.

In this case we can use the OpenCV to do the rendering in two function calls as:

img = np.full((720, 1280, 3), 64, dtype=np.uint8)

pts2d = cv2.projectPoints(vertices, rot, trans, K, None)[0].astype(int)
cv2.polylines(img, pts2d[indices], True, (255, 255, 255), 1, cv2.LINE_AA)

• Wire-frame rendering

See the documentation of cv2.projectPoints for the meaning of the parameters.

Note how we only project each vertex once and only apply the mesh topology afterwards. Here, we just use the numpy advanced indexing as pts2d[indices] to perform the expansion.

This is pretty fast as well. The code above only takes about 9ms on my machine.

In case you want filled polygons, this is pretty easy as well

for face in indices:
    cv2.fillConvexPoly(img, pts2d[face], (64, 64, 192))

• Filled polygon rendering

However, as we need to a python loop in this case and also have quite some overdraw, it is considerable slower at 20ms.

Of course you can also combine both to get an image like in the post title.

From here on you can continue to go crazy and compute face normals to do culling and shading.

• But you can only get that far without a depth buffer

0 0

06 Nov 2019 4:26pm GMT

So after having made fun of people for "wearing toothbrushes", I finally came to buy such headphones for myself.

Having used non-true wireless Bluetooth headphones before I was curious what the usability advantage would feel like.

Here I went for the Xiaomi AirDots Pro 2 aka Air2 which I could grab for 399 Yuan which is about 51€, which seems like the right price-point for this kind of accessoire.

Keep in mind that the built-in battery only survives so many charging cycles and once it dies you can throw them away.

The Airdots (right) compared to the Airpods (middle) and the Oral-B Precision Clean

The initial feeling of using true wireless headphones is surprisingly relieving - there is simply no cord to untangle or to be aware of while wearing.
This is especially true during phone calls, where one needs to keep the microphone aligned.

The downside is that the headphones are too small to accommodate any buttons for volume and playback control.

The Air 2 kind of make up for it by automatically connecting to your phone once you put them on and by automatically pausing the music when you put one out of the ear. This is achieved by a built-in brightness sensor.

Furthermore you have double-tap actions, which default to play/ pause on the right headphone and launching the voice assistant (e.g. Google Assistant) on the left headphone.

The battery life is stated with 4 hours per-charge with 2 extra charges in the case. I could confirm those on a long distance flight.

Compared to the Airpods 2

Looking at the feature-list above or simply at the images, the similarity to the Apple Airpods is apparent.

Out of curiosity I borrowed some from friend for comparison. The most important point is probably sound quality. Here we found the two virtually in-distinguishable. But keep in mind that we only did a quick test and did not use them extensively.

The second point is likely the form. Here, both earphones have the same ear-part and only differ by the shaft. So if one fits your ear, so should the other.

The shaft however is considerably wider on the Airdots. This is less apparent when viewed from the side as the thickness is similar.

For me, the more important difference is being able to control the headphones from my Android smartphone. This is currently not possible with the Airpods, while there is some way for the Airdots;

Companion app & Software integration

To control the earphones, you have to sideload the Xiao Ai Lite App. The main purpose of it is to provide the Xiaomi voice assistant and the Air2 options likely just ended up there as they offer an always-on assistant integration just like the Airpods.

It handles firmware updates and allows you to configure the douple-tap action per earphone as well as displaying the charging status of the earphones and the case. By default android will only display the charging status of the least charged earphone.

Furthermore, you can use the fast-paring if the app is running. Here, it is sufficient to hold the earphone case close to the phone and just open it. The app will ask for confirmation. This is only slightly more convenient then holding the pairing button and using the normal bluetooth pairing procedure.

The downside is that the app is currently only available in Chinese and consequently the voice assistant only works with Chinese.

Below you find some views of the earphone related settings translated by with google lens

• Overview
• Double-tap settings
• Voice Assist Settings
• Firmware update

I tried out some voice commands via google translate and everything works as it should. However if you are not fluent in chinese it is far from practical. Most people should disable the assistant in the settings to avoid accidentally triggering it.

A serious advantage of Xiomi/ Huawei phones is the availability of the LHDC Bluetooth Codec which offers a superior bandwidth and latency.
While I am fine with the bandwidth provided by AAC when listening to music, there is still a noticeable and annoying delay when watching videos and playing games.

Active Noise Cancellation

The firmware upgrade to v2.6.9.0 significantly improved the active noise cancellation and thus general sound quality.

There is a very noticeable noise reduction compared to v2.6.2.0 - especially in the lower frequencies; things like your footsteps get filtered out. Higher frequencies like car motor sounds are still perceivable though. This is however a good compromise for me.

Charging issues

Over time I noticed that the left earphone consistently runs out of battery before the right one.
The issue seems to be that it discharges while stored inside the case. Putting it in and out resolves the issue - but only until it is fully charged. This makes keeping the earphones pre-charged and ready quite an issue.

Hopefully this can be addressed with a future firmware update. (reproduced with firmwares up to v2.7.1.0)

0 0

02 Nov 2019 3:56pm GMT

  <key>CFBundleDocumentTypes</key>
  <array>
    <dict>
      <key>CFBundleTypeExtensions</key>
      <array>
        <string>tiff</string>
        <string>TIFF</string>
        <string>tif</string>
        <string>TIF</string>
      </array>
      <key>CFBundleTypeMIMETypes</key>
      <array>
        <string>image/tiff</string>
      </array>
      <key>CFBundleTypeName</key>
      <string>NSTIFFPboardType</string>
      <key>CFBundleTypeOSTypes</key>
      <array>
        <string>TIFF</string>
        <string>****</string>
      </array>
      <key>CFBundleTypeRole</key>
      <string>Viewer</string>
      <key>LSHandlerRank</key>
      <string>Default</string>
      <key>LSItemContentTypes</key>
      <array>
        <string>public.tiff</string>
      </array>
      <key>NSDocumentClass</key>
      <string>PVDocument</string>
    </dict>
    …more dict entries for other supported file formats…
  </array>

#import <CoreFoundation/CoreFoundation.h>
#import <ApplicationServices/ApplicationServices.h>

void MacOS::runApp(const QString &app, const QList<QUrl> &files)
{
    CFURLRef appUrl = QUrl::fromLocalFile(app).toCFURL();

    CFMutableArrayRef cfaFiles =
        CFArrayCreateMutable(kCFAllocatorDefault,
                             files.count(),
                             &kCFTypeArrayCallBacks);
    for (const QUrl &url: files) {
        CFURLRef u = url.toCFURL();
        CFArrayAppendValue(cfaFiles, u);
        CFRelease(u);
    }

    LSLaunchURLSpec inspec;
    inspec.appURL = appUrl;
    inspec.itemURLs = cfaFiles;
    inspec.asyncRefCon = NULL;
    inspec.launchFlags = kLSLaunchDefaults + kLSLaunchAndDisplayErrors;
    inspec.passThruParams = NULL;

    OSStatus ret;
    ret = LSOpenFromURLSpec(&inspec, NULL);
    CFRelease(appUrl);
}

LIBS += -framework CoreServices

0 0

13 Oct 2019 6:51pm GMT

A small brain dump of topics that currently fascinate me. These are mostly pointers and maybe it is interesting to follow it.

Books/Reading:

My kobo ebook reader has the Site Reliability Engineering book and I am now mostly done. It is kind of a revelation and explains my interest to write code but also to operate infrastructure (like struggling with ruby, rmagick, nginx…). I am interested in backends since… well ever. The first time I noticed it when we talked about Kolab at LinuxTag and I was more interested in the backend than the KDE client. At sysmocom we built an IoT product and the backend was quite some fun, especially the scale of one instance and many devices/users, capacity planning and disk commissioning, lossless upgrades.

It can be seen in my non FOSS SS7 map work on traffic masquerading and transparent rewriting. It is also clear to see which part of engineering is needed for scale (instead of just installing and restarting servers).

Lang VM design

One technology that made Java fast (Hotspot) and has seen its way into JavaScript is dynamic optimization. Most Just in Time Compilers start with generating native code per method, either directly or after the first couple of calls when the methods size is significant enough. The VM records which call paths are hot, which types are used and then can generate optimized code (e.g. specialized for integers, remove type checks). A technique pioneered at Sun for the "Self" language (and then implemented for Strongtalk and then brought to Java) was "adaptive optimization and deoptimization" and was the Phd topic of Urs Hoelzle (Google's VP of Engineering). One of the key aspects is inlining across method boundaries as this removes method look-up, call stack handling and opens the way for code optimization across method boundaries (at the cost of RAM usage).

In OpenJDK, V8 and JavaScriptCore this adaptive optimization is typically implemented in C++ and requires quite some code. The code is complicated as it needs to optimize but also need to return to a basic function (deoptimize, e.g. if a method changed or the types passed don't match anymore), e.g. in the middle of a for loop with tons of inlined code (think of Array.map being inlined but then need to be de-inlined). A nice and long blog post of JSC can be found here describing the On Stack Replacement (OSR).

Long introduction and now to the new thing. In the OpensmalltalkVM a new approach called Sista has been picked and I find it is genius. Like with many problems the point of view and approach really matters. Instead of writing a lot of code in the VM the optimizer runs next to the application code. The key parts seem to be:

• Using branches taken/not-taken as indicator how hot a path is. The overhead of counting these seem to be better than counting method calls/instructions/loops.
• Using the Inline Caches for type information on call sites (is that mono-, poly- or megamorphic?)
• Optimize from one set of Bytecode to another set of Bytecode.

The revelation is the last part. By just optimizing from bytecode to bytecode the VM remains in charge of creating and managing machine code. The next part is that tooling in the higher language is better or at least the roundtrip is more quick (edit code and just compile the new method instead of running make, c++, ld). The productivity thanks to the abstraction and tooling is likely higher.

As last part the OSR is easier as well. In Smalltalk thisContext (the current stack frame, activation record) is an object as well. At the right point (when the JIT has either written back variables from register to the stack or at least knows where the value is) one can just manipulate thisContext, create and link news ones and then resume execution without all the magic in other VMs.

Go, Go and escape analysis

Ken Thompson and Robert Pike are well known persons and their Go programming language is a very interesting system programming language. Like with all new languages I try to get real world experience with the language, the tooling and which kind of problems can be solved with it. I have debugged and patched some bigger projects and written two small applications with it.

There is plenty I like. The escape analysis of the compiler is fun (especially now that I know it was translated from the Plan9 C compiler from C to Go), the concurrency model is good (though allowing shared state), the module system makes sense (but makes forking harder than necessary), being able to cross compile to any target from any system.

Knowing a bit of Erlang (and continuing to read the Phd Thesis of Joe Armstrong) and being a heavy Smalltalk user there are plenty of things missing. It starts with vague runtime error messages (e.g. panicslice not having parameters) and goes to runtime and post-runtime inspection. In Smalltalk thanks to the abstraction a lot of hard things are easy and I would have wished for some of them to be in Go. Serialize all unrecovered panics? Debugging someone else's code seems like pre 1980…

So for many developers Go is a big improvement but for some people with a wider view it might look like a lost opportunity. But that can only be felt by developers that have experienced higher abstraction and productivity.

Unsupervised machine learning

but that is for another dump…

25 Sep 2017 10:11am GMT

02 Sep 2017 10:00pm GMT

01 Sep 2017 10:00pm GMT

Shopping for 3D TV (again), few findings:

• There are no non-LED 3D TVs for sale in this part of world anymore (in particular, my older favorite, LE40C750 is no longer available)
• Samsung D6xxx series (the cheapest) were caught red-handed not providing FullHD resolution in 3D: via Samygo. (Note from myself: Samsung was caught because lots of people actually buy their stuff, what one can think about other vendors?)
• LG goes out of line of vendors with 3D shutter glasses technology with their FPR ("Cinema 3D" in marketing speak) technology. It uses passive (no power needed) polarized glasses, like RealD cimenas. Announced April (on these longitudes), already in local shops at not-so-indecent prices. FPR is Film Patterned Retarder, and I hope the last word is spelled right, because I have high hopes for this tech. It shares the same issue as Samsung D6xxx: there won't FullHD here for sure, but at least it's official and there're other benefits.

12 Nov 2011 6:55pm GMT

I finally going to get Arduino, and while I'm choosing flavor and waiting for it, I can't help but disassembling all devices I have at home, each time speaking: "This must have Arduino inside!" (meaning of course that I expect it to be based on general-purpose MCU). Gosh, I usually get "blob chip" (uncased chip with blob of epoxy on top).

Well, I finally had my expectations fulfilled - Luxeon SP-1 voltage stabilizer/cutter features ATMEGA48V-10PU (Flash: 4k, EEPROM: 256, RAM:512). Not only that, it is installed in DIP socket! Buy from Luxeon, they're hacker-friendly ;-).

I bought the device actually for a wattmeter it features (which fact is hard to figure out from common specs found in the shops, I accidentally read somebody mentioning it on a forum). The wattmeter is of course not bright - for a lamp rated 100W it shows 88W, and for more powerful equipment (like perforator) understates wattage even more (maybe it's difference between real and apparent power factor).

Still, for $17 you get Arudino-alike with voltage/current sensor and hacking possibility. Woot!

BOM:
High-power board:

• Relay: Coil: 24VDC, 5A/240VAC
• 7805
• Coil transformer LR-019B

MCU board:

• ATMEGA48V-10PU
• 2 buttons
• 2 LEDs (red & green)
• 3-digit 7-segment LED indicator

12 Nov 2011 5:58pm GMT

Kindle:

• Amazon Kindle official GPL source code
• Kindle keyboard shortcuts and other reference
• Latest jailbreak appears to be one from NiLuJe (forum). It's known to work with firmware 3.3. Hacks/updates should be copied to Kindle USB drive root.
• SirAlex's page
• Intro for writing kindlets
  

Linux kernel module tricks:

• How to bind Linux driver to device whose IDs it doesn't know (yet), without recompiling
• Building a kernel module separately
• (build module from a kernel source tarball using currently installed kernel config)

10 Nov 2011 3:21pm GMT

In Debian Unstable the transition to Gnome 3 is taking place; when Gnome 3.0 firstly came out some unnamed geeky users complained loudly about the design decisions of the development team to push strongly towards gnome-shell as a new default UI; gnome-shell was designed focusing on usability (usability is a metric relative to a certain target audience BTW) and simplicity, hiding a lot of details from the users. Obviously you can never make everyone happy so some of us simply happened to be "out of target": you know us computer people (*cough cough*), we like to be in charge and control The Machine... I must admit I still don't have a definitive opinion about the gnome-shell concept, for now I just know that it does not suit me; I am going to try it eventually, maybe I'll get used to it, but in the mean time I need my desktop back just like I shaped it through the years; can this be done without loosing all the good Gnome technologies (Empathy over all of them)?

To be completely fair I have to say that there is little to complain about with Gnome developers, we can still get our good old GNOME desktop fully back by using the fall-back mode based on gnome-panel and live happily ever after, let's take a look at how this can be accomplished.

NOTE: GNOME people state that the fall-back mode is meant for systems with older graphic cards which cannot run gnome-shell, however it can very well be seen as a good opportunity for those who do not want to run gnome-shell just yet.

Getting back to the topic: some minor touches are needed to make the panel look more like what we are used to, maybe some of these settings could even become default for fall-back mode, we'll see.

First, enable fall-back mode (on Debian there is a dedicated session you can choose from the Log-in Manager for that) and change some desktop settings, in a terminal type:

$ gsettings set org.gnome.desktop.session session-name 'gnome-fallback'
$ gsettings set org.gnome.desktop.interface 'menus-have-icons' true
$ gsettings set org.gnome.desktop.interface 'buttons-have-icons' true
$ gsettings set org.gnome.desktop.background 'show-desktop-icons' true

gnome-tweak-tool can be used for some of these settings like shown in the attached images.

Then rearrange the applets on the panel as you please (use Alt-RightClick to access the panel properties), and fix the theming using this patch to have a light panel again (against gnome-themes-standard=3.0.2-1):

$ mkdir $HOME/.themes
$ cd $HOME/.themes
$ cp -r /usr/share/themes/Adwaita Adwaita-fallback
$ cd Adwaita-fallback
$ patch -p1 < $HOME/adwaita-fallback-panel-theme.patch
$ gsettings set org.gnome.desktop.interface 'gtk-theme' 'Adwaita-fallback'

Some final touches for the Metacity window manager and to the clock applet, and we are all set:

$ gconftool-2 --type string --set /apps/metacity/general/focus_mode mouse
$ gconftool-2 --type boolean --set /apps/metacity/general/compositing_manager true
$ gconftool-2 --type string --set /apps/panel3-applets/clock/custom_format '<span color="#333">%a %d %b</span> <b>%H:%M</b>'
$ gconftool-2 --type string --set /apps/panel3-applets/clock/format custom

Ah, in the new gnome-panel based on Gtk3 there are still some details to take care of, I hope issues like that will be addressed and that the panel will be supported for quite some time.

Attached images:

Attached files:

Adwaita theme patch for fall-back mode

19 Oct 2011 9:37pm GMT

After letting us wait for a bit longer than scheduled (13 days), the hospital initiated the contractions. For the first couple of hours, everything went just perfect, but then the little one got stuck on the way and we had to resort to a cesarean section. Lara Marie Lauer was born 8th of June at 04:41 (AM) with 3460 gramms and 49 cm.

Mummy was still on intensive care and so they gave her to me. I can't express the feelings I had in this very moment. I'm still kind of overwhelmed every time I see her. Thanks for all of you who waited anxiously with me and those who prayed for us. The most important tasks for the near future is getting Mummy to recover and Lara Marie to become accustomed to us and the rest of the outside world.

Please bear with me if in the next time I'm not as responsive as usually

09 Jun 2011 4:06pm GMT

And now for something completely different… while we are all waiting for my baby to arrive (who was scheduled for 25th of May), she just received her first greeting card - together with a personalized bib and a towel (with integrated hood - pretty fancy!) from my good friends at #openmoko-cdevel.

Guys, seeing this card was very heartwarming - it means a lot to me that you share my anticipation, thanks a lot! And I'm 100% sure she will appreciate her gifts… now let's cross fingers it won't take much longer… waiting is the hardest part of it

Yours,

Mickey.

30 May 2011 8:54am GMT