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Posts from the ‘Linux’ Category

Setting up google calendar with Kontact (or korganiser) using akonadi

May 29 10
by mat

It used to be a real pain to try and get google calendar working with kontact/korganiser, however now it is very simple. I have also provided a screenshot walk-through to aide the process.

Just install akonadi-kde-resource-googledata using your package manager or in the terminal with:

sudo apt-get install akonadi-kde-resource-googledata

This will install support of google calendar and google contacts into akonadi. If you’ve not heard of akonadi before, it is a backend that manages communications and protocols. So rather than having developers of separate applications working on the same thing rewriting code that does the same thing they can simply plug into akonadi. Kontact/korganiser can load can load from an akonadi resource:

Walkthrough
(see below for walkthough with screenshots)

  • Right Click on calendars and click add resource
  • Select akonadi
  • Click Manage Calendar Sources
  • Click add
  • Select Akonadi Google Calendar Resource
  • Enter your email and password and select ok
  • Your calendar should now sync and appear in korganiser

Screenshot Walkthrough

  • Right Click on calendars and click add resource
  • Google Caldendar integration with Kontact Korganiser 1

    Google Caldendar integration with Kontact Korganiser 1

  • Select akonadi
  • Google Caldendar integration with Kontact Korganiser 2

    Google Caldendar integration with Kontact Korganiser 2

  • Click Manage Calendar Sources
  • Google Caldendar integration with Kontact Korganiser 3

    Google Caldendar integration with Kontact Korganiser 3

  • Click add
  • Google Caldendar integration with Kontact Korganiser 4

    Google Caldendar integration with Kontact Korganiser 4

  • Select Akonadi Google Calendar Resource
  • Google Caldendar integration with Kontact Korganiser 5

    Google Caldendar integration with Kontact Korganiser 5

  • Enter your email and password and select ok
  • Google Caldendar integration with Kontact Korganiser 6

    Google Caldendar integration with Kontact Korganiser 6

  • Your calendar should now sync and appear in korganiser
  • Google Caldendar integration with Kontact Korganiser 7

    Google Caldendar integration with Kontact Korganiser 7

    Installing a Dell 1320c colour laser printer in ubuntu (kubuntu 9.10 x86_64)

    Apr 5 10
    by mat

    This is a nice colour laser printer that I managed to pick up quite cheaply with 2 sets of toner.

    Problem

    On my system (kubuntu 9.10 x86_64) it did not appear in lsusb and dmesg showed the following:

    [15208.550014] usb 1-6: new high speed USB device using ehci_hcd and address 10
    [15208.701200] usb 1-6: configuration #1 chosen from 1 choice
    [15208.741575] usblp0: USB Bidirectional printer dev 10 if 0 alt 0 proto 2 vid 0x413C pid 0×5516
    [15208.741596] usbcore: registered new interface driver usblp
    [15209.747326] usb 1-6: usbfs: interface 0 claimed by usblp while ‘usb’ sets config #1

    Funnily enough it did appear in the list of devices in virtualbox, however I had no luck trying (and didn’t really want to) to install it virtually. So I decided I’d make use of the built in network abilities of the printer and plug it directly into the router (I didn’t do this initially as I wanted the printer in a different room to the router).

    Solution

    After setting the printer up on the network, I ensure logged into the web interface and changed the password from the default. I then followed this thread on the ubuntuforums which refers to this text for installing the “Fuji Xerox DocuPrint C525A” driver which is compatible with the dell 1320c.

    The driver is an 32bit rpm by default (which is fine for redhat based os’s), you can use alien to convert the rpm to an deb, or you can just download a prebuilt deb from zoffix.com (Direct link. This is a 32 bit package still so we need to install it using “–force-architecture”

    sudo dpkg -i fuji-xerox-docuprint-c525-a-ap_1.0-2_i386.deb –force-architecture

    Once this driver is installed you can login to cups and configure your printer as you would normally (instructions below). However when you are required to select the printer you need to provide the ppd file manually if you have installed the driver

    1 – Open a webbrowser and goto http://localhost:631/admin
    2 – Click add printer
    3 – Enter a name for the printer eg: dell1320c (spaces are not allowed)
    4 – Enter the printer address. This is the ip address of your printer prefixed with “lpd://”. eg: lpd://192.168.1.121
    5 – Either locate Fuji Xerox DocuPrint C525A or select the ppd directly which is located at /usr/share/cups/model/FujiXerox/en/FX_DocuPrint_C525_A_AP.ppd
    6 – Memory Capacity should be 64MB, and Optional Tray Module should be 250 Sheet Feeder
    7 – finish.

    Bypass tray problem

    You should now print a test page, however if you get the problem like me that the printer always attempts to load paper from the manual paper feed, you will need to change the paper source from bypass tray to tray 1 in each program you need to print with (hopefully there will be a fix for this, but in this cups there seems no option to set it)

    Select tray 1 to avoid using bypass paper with dell 1320c in ubuntu

    Select tray 1 to avoid using bypass paper with dell 1320c in ubuntu

    Additional

    I also noticed that this printer was covering each printed page with tiny yellow dots, which can be used to identify a printer (most likely for criminal matters).

    Compiling and running CUDA 2.3 SDK and toolkit on ubuntu 9.10 x64 (64-bit)

    Feb 20 10
    by mat

    I’ve heard a lot about CUDA, such as how it is 10,000% faster at cracking wireless passwords over a conventional program/hardware, but never really got around to testing it out before now. This post details the steps required to compile and setup CUDA 2.3 SDK and toolkit on ubuntu 9.10.

    Downloads
    You are required to have an Nvidia graphics driver (relatively new version) already installed. First download the CUDA toolkit and CUDA sdk from the Nvidia CUDA 2.3 download page.

    Install the toolkit

    # Make file executable
    chmod +x cudatoolkit_2.3_linux_64_ubuntu9.04.run
    # Run it as superuser
    sudo ./cudatoolkit_2.3_linux_64_ubuntu9.04.run
    

    You now need to edit your .bashrc file in your home directory to include the paths (so your CUDA binaries can be found by the system)

    export PATH=${PATH}:/usr/local/cuda/bin
    export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/lib64

    Note if you are using 32bit then “lib64″ should be replaced with just “lib”

    Install the SDK

    # Make file executable
    chmod +x cudasdk_2.3_linux.run
    # Run it as normal user
    ./cudasdk_2.3_linux.run
    

    You should now have a NVIDIA_GPU_Computing_SDK folder in your home directory. Change directory into the C folder inside this one.

    cd NVIDIA_GPU_Computing_SDK/C
    

    In this folder is a make file which will compile all the Nvidia SDK and all the demos, in order for this to work in ubuntu 9.10 (x64) you will need to install several dependencies. By installing these before attempting to make will save you a lot of time, if you are getting errors please scroll down to the problems section to see if they are already covered.

    # Install the necessary libraries
    sudo apt-get install freeglut3 freeglut3-dev libx11-dev mesa-common-dev libxmu6
    

    Making and running demos

    You can then run the make command, once this is ran all of the executables will be placed in NVIDIA_GPU_Computing_SDK/C/bin/linux/released . We can check that our computer has an useable CUDA device install by running the deviceQuery program:

    cd ~/NVIDIA_GPU_Computing_SDK/C/bin/linux/released
    ./deviceQuery
    

    This should output something similar to the following:

    # ./deviceQuery
    CUDA Device Query (Runtime API) version (CUDART static linking)
    There is 1 device supporting CUDA
    
    Device 0: "GeForce GTX 260"
      CUDA Driver Version:                           2.30
      CUDA Runtime Version:                          2.30
      CUDA Capability Major revision number:         1
      CUDA Capability Minor revision number:         3
      Total amount of global memory:                 938803200 bytes
      Number of multiprocessors:                     27
      Number of cores:                               216
      Total amount of constant memory:               65536 bytes
      Total amount of shared memory per block:       16384 bytes
      Total number of registers available per block: 16384
      Warp size:                                     32
      Maximum number of threads per block:           512
      Maximum sizes of each dimension of a block:    512 x 512 x 64
      Maximum sizes of each dimension of a grid:     65535 x 65535 x 1
      Maximum memory pitch:                          262144 bytes
      Texture alignment:                             256 bytes
      Clock rate:                                    1.47 GHz
      Concurrent copy and execution:                 Yes
      Run time limit on kernels:                     Yes
      Integrated:                                    No
      Support host page-locked memory mapping:       Yes
      Compute mode:                                  Default (multiple host threads can use this device simultaneously)
    
    Test PASSED
    

    Now that we can see CUDA is successfully installed and a suitable device is found we can run some of nvidia’s more ascetically pleasing demos:

    ./fluidsGL
    

    CUDA SDK example fluidsGL on ubuntu 9.10 x64

    CUDA SDK example fluidsGL on ubuntu 9.10 x64

    ./smokeParticles
    

    CUDA SDK example smokeparticles on ubuntu 9.10 x64

    CUDA SDK example smokeparticles on ubuntu 9.10 x64

    ./particles
    

    CUDA SDK example particles on ubuntu 9.10 x64

    CUDA SDK example particles on ubuntu 9.10 x64

    ./postProcessGL
    

    CUDA SDK example postProcessGL on ubuntu 9.10 x64 (teapot)

    CUDA SDK example postProcessGL on ubuntu 9.10 x64 (teapot)

    Problems

    
    libxi (Nvidia forum link)
    
    make[1]: Leaving directory `/home/mat/NVIDIA_GPU_Computing_SDK/C/common'
    make[1]: Entering directory `/home/mat/NVIDIA_GPU_Computing_SDK/C/common'
    In file included from ./../common/inc/paramgl.h:24,
                     from src/paramgl.cpp:19:
    ./../common/inc/GL/glut.h:60:20: error: GL/glu.h: No such file or directory
    make[1]: *** [obj/release/paramgl.cpp.o] Error 1
    make[1]: Leaving directory `/home/mat/NVIDIA_GPU_Computing_SDK/C/common'
    make: *** [lib/libparamgl.so] Error 2
    
    sudo apt-get install freeglut3 freeglut3-dev libx11-dev mesa-common-dev
    
    /usr/include/bits/mathcalls.h:350: error: inline function ‘int __signbitf(float)’ cannot be declared weak
    /usr/include/bits/mathcalls.h:350: error: inline function ‘int __signbitl(long double)’ cannot be declared weak
    /usr/include/bits/mathinline.h:36: error: inline function ‘int __signbitf(float)’ cannot be declared weak
    /usr/include/bits/mathinline.h:42: error: inline function ‘int __signbit(double)’ cannot be declared weak
    /usr/include/bits/mathinline.h:48: error: inline function ‘int __signbitl(long double)’ cannot be declared weak
    /usr/local/cuda/bin/../include/math_functions.h:442: error: inline function ‘int __signbitl(long double)’ cannot be declared weak
    make[1]: *** [obj/release/particleSystem.cu.o] Error 255
    make[1]: Leaving directory `/home/mat/NVIDIA_GPU_Computing_SDK/C/src/particles'
    make: *** [src/particles/Makefile.ph_build] Error 2
    

    The problem is due to having gcc 4.4 installed rather than 4.3, it is possible to install the older version of this compiler but it is simpler to modify common/common.mk and add the following extra flag (Nvidia forum link):

    # Change:
    NVCCFLAGS += --compiler-options -fno-strict-aliasing
    # To:
    NVCCFLAGS += --compiler-options -fno-strict-aliasing --compiler-options -fno-inline

    and change the -O2

    # Change:
    COMMONFLAGS += -O2
    # To: 
    COMMONFLAGS += -O0
    

    The two remaining errors you may encounter are very similar and arrise from missing libraries:

    libxi (Nvidia forum link)

    /usr/bin/ld: cannot find -lXi
    collect2: ld returned 1 exit status
    make[1]: *** [../../bin/linux/release/particles] Error 1
    
    sudo apt-get install libxi-dev
    

    libxmu (Nvidia forum link)

    /usr/bin/ld: cannot find -lXmu
    collect2: ld returned 1 exit status
    make[1]: *** [../../bin/linux/release/particles] Error 1
    sudo apt-get install libxmu-dev libxmu6
    

    Utilising the notification system in KDE or Gnome in bash scripts (ubuntu 9.10 / linux)

    Feb 18 10
    by mat

    So you want to use the nice notification features available in your desktop environment (KDE or Gnome) from a script you wrote? Below explains how to do just that for the two different environments.

    KDE

    The code below will use kdialog (should be installed along with kde) to create a popup message that displays for 3 seconds before closing:

    kdialog --passivepopup 'notification message!' 3
    

    This should look like the image below:

    kdialog passive popup notification

    kdialog passive popup notification

    Source: stackoverflow

    Gnome

    A similar tool is available for gnome, but to the best of my knowledge (I don’t really use gnome) you need to install a package. The libnotify-

    sudo apt-get install libnotify-bin
    

    The command notify-send can then be used to create notifications from your script.

    notify-send -t 3000 "notification title" "notification text"
    

    Where 3000 is the timeout in milliseconds (so 3 seconds). notify-send features some nice additional options such as the ability to include images eg:

    notify-send -i /home/user/exampleicon.png -t 3000 "notification title" "notification text"
    

    Source: Coder’s Talk

    Bash: Script to convert .flv to mp3

    Jan 18 10
    by mat

    Flash Video (.FLV) is currently a very popular format of online videos, inparticular youtube. This post explains how to use a simple script to extract the sound from a flash video file and turn it into an mp3.

    In order for the script to work you will need to download ffmpeg (to decode the video) and lame (to encode the mp3). This can be achieve in ubuntu by opening a terminal and running the following or alternatively you can use your package manager GUI to search and download the packages for you.

    sudo apt-get install ffmpeg lame

    You then need to create a new file named “flv2mp3.sh” and paste the following into it using your preferred text editor (which hopefully isn’t VI). Save the file and then change the file permissions so that it is executable (by running:`chmod a+x flv2mp3.sh` in the terminal or via the gui in you file browser)

    #!/bin/sh
    # this script should convert files from FLV to WAV and then to MP3
    echo " "
    echo "  Welcome to FLV to MP3 converter!  version 0.1"
    echo " "
    infile_name="$@"
    # exit if the user did not enter anything:
    if [ -z "$infile_name" ]; then
        echo " "
        echo "You did not tell me the file name, so I will exit now."
        echo " "
        exit
    fi
    echo " "
    ffmpeg -i "$infile_name" -acodec pcm_s16le -ac 2 -ab 128k -vn -y "${infile_name%.flv}.wav"
    lame --preset cd "${infile_name%.flv}.wav" "${infile_name%.flv}.mp3"
    rm "${infile_name%.flv}.wav"
    echo " "
    echo "OK. I'm done! Have fun!"
    echo " "
    exit 
    

    You should now be able to convert a flashvideo into an mp3 by running the following command (changing the filenames to fit your purpose):
    sh flv2mp3.sh videofilename.flv

    Extra: Youtube
    In linux it might be worth noting that youtube downloads the flv’s to your /tmp folder and you can easily copy them or convert to mp3′s (Ensure video is completly finished loading).

    Also there is an application called ‘youtube-dl’ which can be installed from the repositories

    sudo apt-get install youtube-dl

    and then run using

    youtube-dl http://www.youtube.com/video_to_borrow

    Of course it’s up to your moral guidance to decide what you can and can’t download.

    Programming Android Apps: SDK and Eclipse (ubuntu)

    Jan 5 10
    by mat

    Android is a brilliant smart phone operating system, this is the start of a short series of guides for starting to program applications for it using the android SDK.

    Android SDK
    Download the android SDK

    Once downloaded untar the SDK

    tar xvzf android-sdk_r04-linux_86.tgz

    The SDK is not complete as additional files need to be downloaded in order to compile for different versions of android. Open the SDK and AVG management application by moving into the SDK folder and running the following.

    sh tools/android

    In the avaliable packages select the android versions you wish to develop for, and begin downloading them. Should this fail please read the next section, otherwise skip ahead.

    Failing to download
    If you cannot download from the google website, goto settings and select “force https://… source to be fetched using http://” and click save and apply.

    android force http

    forcing SDK and AVD manager http instead of https for android

    If this still does not work (as was the case for me) it is possible that for some reason a configuration file was not created for this program, this can be solved by creating it manually:

    echo sdkman.force.http=true > ~/.android/androidtool.cfg

    Creating Android Virtual Devices
    You can create virtual android phones using the SDK and AVD manager, click the Virtual Device tab and select new. Enter a name for the device, and a size for the sd card and simply click create AVD.

    android create avd

    creation of an android virtual device

    Once you’ve created you Virtual Device(s) it should look like the following:

    android avd's

    Android Virtual Devices

    You can test these virtual devices and see how nicely the phones are emulated. This is much more useful once you begin writing applications.

    Android virtual device

    Android Virtual Device in action

    Eclipse

    I would highly recommend using eclipse as it, along with the android plugin, greatly simplifies production and testing of applications.

    Download eclipse from the ubuntu repositories (or from the eclipse website)

    sudo apt-get install eclipse

    If you do not already have java installed then you will need to install it.

    sudo apt-get install sun-java6-jdk sun-java6-jre

    You will need to add the following line to your .bashrc in your home folder so that the android tools can be used in eclipse (and other programs).

    export PATH=${PATH}:/home/user/android/sdk/tools

    * replace /home/user/android/sdk with the path to where you downloaded the SDK

    Installing the android plugin for eclipse
    Google’s eclipse plugin install guide.

    In eclipse goto help then Install new software and then add the google plugin url

    https://dl-ssl.google.com/android/eclipse/

    Install software

    Install new software in eclipse

    Then install Android DDMS and Android Development Tools.

    Should you receive errors (like I did) relating to a missing package you will need to add the eclipse repository and install the missing packages.

    http://download.eclipse.org/releases/galileo

    You should then have a fully working eclipse with android plugin.

    Eclipse main window

    Eclipse main window

    What next?
    Now you should have everything setup in order to develop and android applications. I would recommend the google tutorials:

    acid3 tests firefox chrome konqueror arora on ubuntu x64 karmic

    Sep 3 09
    by mat

    I preformed some acid3 tests on the browsers I currently had installed.

    Chrome: It is sexy (only thing holding it back in Linux is the lack of flash support)
    Score: 100/100
    Version: 4.0.203.2

    acid3-test-chrome

    Opera: I used to use opera however not really any more, just installed it for this test.
    Score: 100/100
    Version: 10.00 (build 4585)

    acid3-test-opera

    Arora: I don’t tend to use Arora, however I’ve heard alot of good things about it. It is a light-weight browser based on web-kit (as are chrome, safari and konqueror) and excels at its speed, highly recommended for notebooks which don’t need the bloat of firefox.
    Score: 100/100 Linktest failed.
    Version:0.8.0

    acid3-test-arora

    Firefox: It seems to handle flash better (without crashing) and has lots of useful plugins.
    Score: 93/100
    Version: 3.5.2
    acid3-ff

    Konqueror:
    Score: 89/100 Linktest failed.
    Version: 4.3.1
    acid3-konq

    Google’s chrome comes first (with chrome having smoother and faster animation) followed by Opera and closely followed by Arora only failing on the link test, then firefox and trailing is konqueror. But I still love konqueror as its so convenient have filemanager and web-browser in one.

    Partitions and disk space in linux

    Sep 3 09
    by mat

    I’m sure there are many ways to see the partitions and corresponding diskspace in linux, but here is the method I found:

    $df -m
    Filesystem 1M-blocks Used Available Use% Mounted on
    /dev/sda2 7513 5937 1576 80% /
    tmpfs 1005 0 1005 0% /lib/init/rw
    varrun 1005 1 1005 1% /var/run
    varlock 1005 0 1005 0% /var/lock
    udev 1005 1 1005 1% /dev
    tmpfs 1005 1 1005 1% /dev/shm
    /dev/sdc1 469453 353295 92311 80% /media/x
    /dev/sdd1 1408345 979205 429141 70% /media/z

    or visually:

    df -m screenshot

    I kept struggeling to remember what letters it was, as there are many two letter commands beginning with d in linux… (dc, dd, df, dh, do, dl, du). I now remember it, because ‘f’ is next to the ‘d’ key on my keyboard, and because df probably stands for disk-free.

    For more information check out this site

    Free

    May 17 09
    by mat

    Using the free command gives output something like this (-m just tells free to output in megabytes):

    free -m
    total used free shared buffers cached
    Mem: 2013 1996 17 0 27 1381
    -/+ buffers/cache: 588 1425
    Swap: 956 0 956

    This is useful but annoying as it doesn’t show you how much memory is actually free. Files that are used are kept in the ram (referred to as caching). If the memory is needed it is simply overwritten, however if the file is used again it is already in the memory which saves time.

    I wrote a quick little bash line to get the actually memory in use or the actual memory free. I use grep to select the right line from the output of free, and then use awk to do the string manipulation and math.

    Memory in use

    free -m | grep Mem | awk ‘{x=$3-$7; print x}’

    Memory free

    free -m | grep Mem | awk ‘{x=$2-($3-$7); print x}’

    Karamba – System Monitor Basis

    May 17 09
    by mat

    karamba1

    I posted my superkaramba system monitor on kde-look.org. Hopefully it will be useful to some people as a basis for their own system monitors. Note that it’s transparent not grey, so looks a little better with the whole screen included in the second picture.

    karamba