[SOLVED] libxml2 2.9.1.-4 includes a malfunctioning Python 3 module

The libxml2 2.9.1.-4 update has broken Python 3. E.g. if you start newsfeed (from AUR), you get:
File "newsfeed", line 19, in <module>
from newsfeed import *
File "/home/martin/git/3NewsFeed/newsfeed.py", line 30, in <module>
import feedparser, rssfinder, dlthreads, play_wav
File "/home/martin/git/3NewsFeed/feedparser.py", line 199, in <module>
xml.sax.make_parser(PREFERRED_XML_PARSERS) # test for valid parsers
File "/usr/lib/python3.3/xml/sax/__init__.py", line 78, in make_parser
return _create_parser(parser_name)
File "/usr/lib/python3.3/xml/sax/__init__.py", line 102, in _create_parser
drv_module = __import__(parser_name,{},{},['create_parser'])
File "/usr/lib/python3.3/site-packages/drv_libxml2.py", line 68
except ImportError, e:
^
SyntaxError: invalid syntax
Reverting to libxml2 2.9.1-3 helps, but I still wanted to report this somewhere.
Last edited by Morn (2013-11-04 22:01:58)

https://projects.archlinux.org/svntogit … fc24f207ee
Bugs should be reported in the bugtracker, not on the forum.

Similar Messages

  • Can I include a logo into text module in smart forms

    Hi,
    I want to know whether I can include a logo into text module or not in smart forms.
    Pls some one assist me.
    Regards,
    Chandra

    Hi,
    No you cannot attach a logo in Text Module because it can store only text, and your logo is stored in presentation server so it cannot be used aywhere else.I hope your question is answered.
    Regards.

  • [SOLVED] dwm-status.sh, possible to include scripts within the script?

    I have 'dwm-status.sh' printing some basic info (mpd, vol, date) into the status bar. Is it possible to make it include eg. gmail, weather, and battery scripts in a similar way that conky would? (execpi 60 python ~/.scripts/gmail.py)
    Also, off topic: How can I see which other special characters represent which icons in Ohsnap font? e.g. "Ñ" "Î" "¨" "¹" "ê" "í" "È represent cpu, memory, hdd, vol, clock.... how about the rest?
    dwm-status.sh:
    #!/bin/sh
    icons=("Ñ" "Î" "¨" "¹" "ê" "í" "È")
    getMusic() {
    msc="$(ncmpcpp --now-playing '{%a - %t}|{%f}')"
    if [ ! $msc ]; then
    echo -ne "\x0A${icons[4]}\x01 music off"
    else
    echo -ne "\x0A${icons[4]}\x01 ${msc}"
    fi
    getVolume() {
    vol="$(amixer get Master | egrep -o "[0-9]+%" | head -1 | egrep -o "[0-9]*")"
    echo -ne "\x0A${icons[5]}\x01 ${vol}"
    getDate() {
    dte="$(date '+%b %d %a')"
    echo -ne "\x0A${icons[1]}\x01 ${dte}"
    getTime() {
    tme="$(date '+ %H:%M')"
    echo -ne "\x0A${icons[6]}\x01 ${tme}"
    while true; do
    xsetroot -name "$(getMusic) $(getVolume) $(getDate) $(getTime)"
    sleep 1
    done
    Last edited by Winston-Wolfe (2013-06-26 13:10:11)

    Thanks guys, I've managed to get my notification scripts printing by simply not using execpi:
    getMail() {
    mai="$(~/.scripts/gmail.py)"
    echo -ne "\x0A${icons[3]}\x01 ${mai}"
    But like you said, I now have a calling frequency challenge.
    Trilby, that looks great. I've got it partially working, but I'm at a loss on how to go about printing the variables in the loop for those blocks that happen periodically.
    otherwise your email indicator (for example) will only pop up for one second every 5 minutes.
    ^ exactly what's currently happening.
    Is there something that just prints the variable without calling for an update like $(getMail) does that I could put into the loop?
    let loop=0
    while true; do
    # stuff that happens every second here
    xsetroot -name "$(getMusic) $(getVolume) $(getDate) $(getTime)"
    if [[ $loop%60 -eq 0 ]]; then
    #stuff that happens every minute here
    xsetroot -name "$(getMusic) $(getMail) $(getVolume) $(getDate) $(getTime)"
    fi
    if [[ $loop%300 -eq 0 ]]; then
    # stuff that happens every 5 minutes here
    xsetroot -name "$(getMusic) $(getMail) $(getWeather) $(getVolume) $(getDate) $(getTime)"
    let loop=0 #this prevents an eventual overflow
    fi
    let loop=$loop+1
    sleep 1
    done
    Last edited by Winston-Wolfe (2013-06-26 08:54:47)

  • [Solved] Make'ing C++ project - multiple including error

    Hi all,
    I've rewritten a makefile for my project in a more "correct" way. Reason was not to recompile everything while debugging (complete rebuild takes about 10 seconds, maybe more). But it led to new troubles - now there are a lot of errors, showing that headers are included many times, despite header guards. In makefile, target "debug" is a new way build, "debug_old" - an old one which builds normally. I don't want the rules for each source file to be written manually.
    Is it a problem in the makefile? How it can be corrected?
    Makefile:
    SOURCES=main.cpp data_types.cpp physics.cpp io.cpp
    OBJECTS=$(addprefix obj/,$(SOURCES:.cpp=.o))
    EXECUTABLE=bin/ThreadedParticles
    DEBUG_FLAGS=-Wall -g -c
    DEBUG_FLAGS_OLD=-lboost_thread-mt -Wall -g
    LDFLAGS=-lboost_thread-mt
    debug: $(SOURCES) $(EXECUTABLE)
    $(EXECUTABLE): $(OBJECTS)
    g++ $(LDFLAGS) -o $@ $(OBJECTS)
    $(OBJECTS): $(SOURCES)
    g++ $(DEBUG_FLAGS) -o $@ $<
    debug_old:
    g++ $(DEBUG_FLAGS_OLD) -o $(EXECUTABLE) $(SOURCES)
    $ make -B debug
    g++ -Wall -g -c -o obj/main.o main.cpp
    main.cpp: In function 'int main(int, char**)':
    main.cpp:32:8: warning: enumeration value 'SUCCESS' not handled in switch
    main.cpp:32:8: warning: enumeration value 'LINES_LEFT' not handled in switch
    main.cpp:32:8: warning: enumeration value 'WRONG_VERSION' not handled in switch
    main.cpp:32:8: warning: enumeration value 'FEW_PARTICLES' not handled in switch
    main.cpp:34:2: warning: label 'WRONG_VERSION' defined but not used
    main.cpp:37:2: warning: label 'FEW_PARTICLES' defined but not used
    main.cpp:40:2: warning: label 'LINES_LEFT' defined but not used
    main.cpp:42:2: warning: label 'SUCCESS' defined but not used
    g++ -Wall -g -c -o obj/data_types.o main.cpp
    main.cpp: In function 'int main(int, char**)':
    # same warnings as for main.o
    g++ -Wall -g -c -o obj/physics.o main.cpp
    main.cpp: In function 'int main(int, char**)':
    # same warnings as for main.o
    g++ -Wall -g -c -o obj/io.o main.cpp
    main.cpp: In function 'int main(int, char**)':
    # same warnings as for main.o
    g++ -lboost_thread-mt -o bin/ThreadedParticles obj/main.o obj/data_types.o obj/physics.o obj/io.o
    obj/data_types.o: In function `main':
    /usr/lib/gcc/x86_64-unknown-linux-gnu/4.5.1/../../../../include/c++/4.5.1/exception:64: multiple definition of `main'
    obj/main.o:/mnt/data/Coding/Current Projects/ThreadedParticles/main.cpp:9: first defined here
    obj/physics.o: In function `main':
    /usr/lib/gcc/x86_64-unknown-linux-gnu/4.5.1/../../../../include/c++/4.5.1/exception:64: multiple definition of `main'
    obj/main.o:/mnt/data/Coding/Current Projects/ThreadedParticles/main.cpp:9: first defined here
    obj/io.o: In function `main':
    /usr/lib/gcc/x86_64-unknown-linux-gnu/4.5.1/../../../../include/c++/4.5.1/exception:64: multiple definition of `main'
    obj/main.o:/mnt/data/Coding/Current Projects/ThreadedParticles/main.cpp:9: first defined here
    obj/main.o: In function `main':
    main.cpp:(.text+0x109): undefined reference to `prepareWorld(std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::basic_string<char, std::char_traits<char>, std::allocator<char> >, int, tpPhysicsGravity**, tpOutput**)'
    main.cpp:(.text+0x157): undefined reference to `tpPhysics::iterationNumber()'
    main.cpp:(.text+0x171): undefined reference to `tpPhysics::startThreads()'
    main.cpp:(.text+0x17d): undefined reference to `tpOutput::start()'
    main.cpp:(.text+0x189): undefined reference to `tpPhysics::stopThreads()'
    main.cpp:(.text+0x195): undefined reference to `tpOutput::stop()'
    main.cpp:(.text+0x1b5): undefined reference to `tpOutput::start()'
    main.cpp:(.text+0x1c1): undefined reference to `tpOutput::stop()'
    obj/main.o: In function `tpPhysicsGravity::~tpPhysicsGravity()':
    main.cpp:(.text._ZN16tpPhysicsGravityD2Ev[_ZN16tpPhysicsGravityD5Ev]+0x13): undefined reference to `vtable for tpPhysicsGravity'
    obj/data_types.o: In function `main':
    # same "undefined reference" as for previous
    obj/physics.o: In function `main':
    # same "undefined reference" as for previous
    obj/io.o: In function `main':
    # same "undefined reference" as for previous
    collect2: ld returned 1 exit status
    make: *** [bin/ThreadedParticles] Error 1
    Last edited by Kosmonavt (2010-11-30 08:16:56)

    Situation is the following: there are also physics.hpp, io.hpp and data_types.hpp. main() is declared only in main.cpp one time, also not used by any classes/functions. It was surprising for me, since debug_old build normally, only warnings about enum are printed.
    data_types.hpp:
    #ifndef DATA_TYPES_HPP_INCLUDED
    #define DATA_TYPES_HPP_INCLUDED
    #include <valarray>
    #include <vector>
    #include <cmath>
    // Common typedefs and (maybe) data types
    typedef std::valarray<double> vector3;
    typedef std::vector<vector3> vector_array;
    typedef std::vector<double> d_array;
    // Defining square of vector length
    double norm( vector3 v );
    #endif // DATA_TYPES_HPP_INCLUDED
    io.hpp:
    #ifndef IO_HPP_INCLUDED
    #define IO_HPP_INCLUDED
    #include <fstream>
    // #include <boost/thread.hpp>
    #include <string>
    #include <sstream>
    #include "data_types.hpp"
    #include "physics.hpp"
    // *** Output facility ***
    class tpOutput
    public:
    tpOutput(std::string filename, int version, int skip, tpPhysics* physsystem);
    ~tpOutput() { }
    void start();
    void stop();
    private:
    std::ofstream outputFile;
    // boost::thread outputWorker;
    int skipSize;
    int versionNumber;
    tpPhysics* physSystem;
    void writeResults();
    void writeTableHeader();
    void writeVersion();
    void writeSettingOverview();
    // *** Input facility ***
    enum prepareError { SUCCESS, LINES_LEFT, WRONG_VERSION, FEW_PARTICLES };
    prepareError prepareWorld( std::string settingFileName, std::string outputFileName, int worker_num, tpPhysicsGravity** world, tpOutput** log );
    namespace input
    int parseSettings( std::ifstream& fin, long int& part_num, long int& iter_num, double& delta_t, int& skip, std::string& desc );
    // 0 - if incompatible at all, nonzero - number of setting file ID
    // for Ver2 setting file
    void readParticleData_2( std::ifstream& fin, d_array& m_range, d_array& c_range, d_array& v_range );
    // for coord/velocity, lower values are in 0-2,
    // higher - in 3-5
    // for Ver1 setting file; to be called for every particle in list
    void readParticleData_1( std::ifstream& fin, double& m, vector3& c, vector3& v );
    // Getting CSV key values
    void getKey( std::ifstream& f, long int& result );
    void getKey( std::ifstream& f, double& result );
    void getKey( std::ifstream& f, int& result );
    #endif // IO_HPP_INCLUDED
    physics.hpp:
    #ifndef PARTICLES_HPP_INCLUDED
    #define PARTICLES_HPP_INCLUDED
    #include <boost/thread.hpp>
    #include <boost/shared_ptr.hpp>
    #include <cmath>
    #include <vector>
    #include <valarray>
    #include <cstdlib>
    #include <ctime>
    #include <iostream>
    #include "data_types.hpp"
    // General-purpose constants and types
    const double G = 6.673e-11;
    // *** Physics facility ***
    class tpPhysics
    public:
    tpPhysics( long int iter_num, long int part_num, double delta_t, int worker_num );
    ~tpPhysics() { }
    void startThreads();
    void stopThreads();
    void addParticle( double m, vector3 c, vector3 v );
    void generateParticles(d_array m, d_array c, d_array v);
    void getPreviousState( long int num, double& m, vector3& c, vector3& v );
    long int iterationNumber();
    long int particleNumber();
    double dt();
    long int showTime();
    protected:
    void setWorkers(int worker_number);
    // 1st set of parameters
    vector_array coords_1;
    vector_array velocity_1;
    d_array mass_1;
    // 2nd set of parameters
    vector_array coords_2;
    vector_array velocity_2;
    d_array mass_2;
    void setCurrentState( long int num, vector3 c, vector3 v );
    void setCurrentState( long int num, double m, vector3 c, vector3 v );
    void nextStep();
    // Common parameters
    const long int iterNumber;
    const long int partNumber;
    const double deltaT;
    long int current_time;
    int which_set; // 1 - if 1st set is current, 2 - if 2nd set is current
    // Threading data
    std::vector<long int> boundaries;
    std::vector<boost::shared_ptr<boost::thread> > workerArray;
    int workerCount;
    virtual void singleCalculator(int lower, int higher) = 0;
    class tpPhysicsGravity : public tpPhysics
    public:
    tpPhysicsGravity( long int iter_num, long int part_num, double delta_t, int worker_num )
    : tpPhysics(iter_num, part_num, delta_t, worker_num) { }
    ~tpPhysicsGravity() { }
    protected:
    void singleCalculator(int lower, int higher);
    #endif // PARTICLES_HPP_INCLUDED

  • [SOLVED]libxml2 xmlParseFile can't find my file.

    I have successfully used libxml2 to create and save an XML file to disk. I can check it in leafpad. When I try to load it back in using xmlParseFile(filename) it spits out an error saying it can't find the file.
    Here is my code:
    doc = xmlParseFile("distancePrime.xml");
    and here is the error:
    I/O error : No such file or directory
    distancePrime.xml:1: parser error : Document is empty
    ^
    distancePrime.xml:1: parser error : Start tag expected, '<' not found
    ^
    Segmentation fault
    The file is definately there as the same program saved it, and it definately has a start tag. I have tried using an absolute path aswell, but that doesn't work either.
    Does anyone know what the problem is?
    I can post the xml file if you want, or the full code (Don't think its necerssary as the problem seems to be isolated to this function)
    Thanks all!
    Last edited by kirky_D (2010-02-10 17:17:11)

    <?xml version="1.0" encoding="UTF-8"?>
    <root>
    <noFrames>33</noFrames>
    <row rowNumber="0">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">0.000000</col>
    <col colNumber="3">0.000000</col>
    <col colNumber="4">0.000000</col>
    <col colNumber="5">0.000000</col>
    <col colNumber="6">0.000000</col>
    <col colNumber="7">0.000000</col>
    <col colNumber="8">0.000000</col>
    <col colNumber="9">0.000000</col>
    <col colNumber="10">0.000000</col>
    <col colNumber="11">0.000000</col>
    <col colNumber="12">0.000000</col>
    <col colNumber="13">0.000000</col>
    <col colNumber="14">0.000000</col>
    <col colNumber="15">0.000000</col>
    <col colNumber="16">0.000000</col>
    <col colNumber="17">0.000000</col>
    <col colNumber="18">0.000000</col>
    <col colNumber="19">0.000000</col>
    <col colNumber="20">0.000000</col>
    <col colNumber="21">0.000000</col>
    <col colNumber="22">0.000000</col>
    <col colNumber="23">0.000000</col>
    <col colNumber="24">0.000000</col>
    <col colNumber="25">0.000000</col>
    <col colNumber="26">0.000000</col>
    <col colNumber="27">0.000000</col>
    <col colNumber="28">0.000000</col>
    <col colNumber="29">0.000000</col>
    <col colNumber="30">0.000000</col>
    <col colNumber="31">0.000000</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="1">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">0.000000</col>
    <col colNumber="3">0.000000</col>
    <col colNumber="4">0.000000</col>
    <col colNumber="5">0.000000</col>
    <col colNumber="6">0.000000</col>
    <col colNumber="7">0.000000</col>
    <col colNumber="8">0.000000</col>
    <col colNumber="9">0.000000</col>
    <col colNumber="10">0.000000</col>
    <col colNumber="11">0.000000</col>
    <col colNumber="12">0.000000</col>
    <col colNumber="13">0.000000</col>
    <col colNumber="14">0.000000</col>
    <col colNumber="15">0.000000</col>
    <col colNumber="16">0.000000</col>
    <col colNumber="17">0.000000</col>
    <col colNumber="18">0.000000</col>
    <col colNumber="19">0.000000</col>
    <col colNumber="20">0.000000</col>
    <col colNumber="21">0.000000</col>
    <col colNumber="22">0.000000</col>
    <col colNumber="23">0.000000</col>
    <col colNumber="24">0.000000</col>
    <col colNumber="25">0.000000</col>
    <col colNumber="26">0.000000</col>
    <col colNumber="27">0.000000</col>
    <col colNumber="28">0.000000</col>
    <col colNumber="29">0.000000</col>
    <col colNumber="30">0.000000</col>
    <col colNumber="31">0.000000</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="2">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">0.000000</col>
    <col colNumber="3">25495.672151</col>
    <col colNumber="4">33021.100764</col>
    <col colNumber="5">39632.129320</col>
    <col colNumber="6">44391.938660</col>
    <col colNumber="7">47512.255183</col>
    <col colNumber="8">49554.756210</col>
    <col colNumber="9">53972.549693</col>
    <col colNumber="10">62996.447513</col>
    <col colNumber="11">68783.529213</col>
    <col colNumber="12">72707.932241</col>
    <col colNumber="13">77728.168087</col>
    <col colNumber="14">79233.914805</col>
    <col colNumber="15">79759.124871</col>
    <col colNumber="16">79626.301442</col>
    <col colNumber="17">79017.457997</col>
    <col colNumber="18">77584.361388</col>
    <col colNumber="19">74687.021021</col>
    <col colNumber="20">71403.664132</col>
    <col colNumber="21">66958.107322</col>
    <col colNumber="22">63661.024441</col>
    <col colNumber="23">60194.888020</col>
    <col colNumber="24">61514.006906</col>
    <col colNumber="25">65810.631427</col>
    <col colNumber="26">68359.122444</col>
    <col colNumber="27">70875.229577</col>
    <col colNumber="28">72846.184014</col>
    <col colNumber="29">74727.047959</col>
    <col colNumber="30">76432.076506</col>
    <col colNumber="31">80241.014501</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="3">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">25495.672151</col>
    <col colNumber="3">0.000000</col>
    <col colNumber="4">22774.644608</col>
    <col colNumber="5">32303.067018</col>
    <col colNumber="6">38256.834219</col>
    <col colNumber="7">42152.665228</col>
    <col colNumber="8">47205.500627</col>
    <col colNumber="9">53026.200076</col>
    <col colNumber="10">62385.114666</col>
    <col colNumber="11">68213.887920</col>
    <col colNumber="12">72415.437587</col>
    <col colNumber="13">78300.335678</col>
    <col colNumber="14">79761.932303</col>
    <col colNumber="15">80120.965235</col>
    <col colNumber="16">80118.414652</col>
    <col colNumber="17">79652.890568</col>
    <col colNumber="18">78236.298792</col>
    <col colNumber="19">75367.852647</col>
    <col colNumber="20">72472.270631</col>
    <col colNumber="21">68247.637640</col>
    <col colNumber="22">65492.994226</col>
    <col colNumber="23">62693.482868</col>
    <col colNumber="24">60453.940710</col>
    <col colNumber="25">62812.619775</col>
    <col colNumber="26">65686.247995</col>
    <col colNumber="27">68462.266384</col>
    <col colNumber="28">70934.882483</col>
    <col colNumber="29">73797.227599</col>
    <col colNumber="30">78142.443331</col>
    <col colNumber="31">81916.325543</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="4">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">33021.100764</col>
    <col colNumber="3">22774.644608</col>
    <col colNumber="4">0.000000</col>
    <col colNumber="5">23907.866317</col>
    <col colNumber="6">31999.767125</col>
    <col colNumber="7">37854.829990</col>
    <col colNumber="8">44931.156286</col>
    <col colNumber="9">50808.419631</col>
    <col colNumber="10">60951.829781</col>
    <col colNumber="11">66968.410223</col>
    <col colNumber="12">71276.883240</col>
    <col colNumber="13">77519.703453</col>
    <col colNumber="14">79082.350698</col>
    <col colNumber="15">79475.262208</col>
    <col colNumber="16">79449.660142</col>
    <col colNumber="17">79077.657043</col>
    <col colNumber="18">77776.772501</col>
    <col colNumber="19">74861.510163</col>
    <col colNumber="20">71853.594698</col>
    <col colNumber="21">67486.098274</col>
    <col colNumber="22">65349.711227</col>
    <col colNumber="23">64106.808492</col>
    <col colNumber="24">62372.702952</col>
    <col colNumber="25">62044.993813</col>
    <col colNumber="26">63264.415368</col>
    <col colNumber="27">66520.580354</col>
    <col colNumber="28">69866.966627</col>
    <col colNumber="29">74549.719925</col>
    <col colNumber="30">78856.112317</col>
    <col colNumber="31">82465.882022</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="5">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">39632.129320</col>
    <col colNumber="3">32303.067018</col>
    <col colNumber="4">23907.866317</col>
    <col colNumber="5">0.000000</col>
    <col colNumber="6">22192.270093</col>
    <col colNumber="7">31277.279923</col>
    <col colNumber="8">39775.764192</col>
    <col colNumber="9">46485.697476</col>
    <col colNumber="10">58168.045911</col>
    <col colNumber="11">64189.598980</col>
    <col colNumber="12">68827.461286</col>
    <col colNumber="13">75404.966195</col>
    <col colNumber="14">76989.699610</col>
    <col colNumber="15">77287.681658</col>
    <col colNumber="16">77425.588918</col>
    <col colNumber="17">76995.528772</col>
    <col colNumber="18">75591.174597</col>
    <col colNumber="19">72556.206213</col>
    <col colNumber="20">69063.832868</col>
    <col colNumber="21">65416.164227</col>
    <col colNumber="22">65934.927539</col>
    <col colNumber="23">65097.427203</col>
    <col colNumber="24">63932.143616</col>
    <col colNumber="25">64062.169719</col>
    <col colNumber="26">61920.999882</col>
    <col colNumber="27">63417.572081</col>
    <col colNumber="28">67936.629892</col>
    <col colNumber="29">72875.070081</col>
    <col colNumber="30">77408.432775</col>
    <col colNumber="31">81040.940599</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="6">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">44391.938660</col>
    <col colNumber="3">38256.834219</col>
    <col colNumber="4">31999.767125</col>
    <col colNumber="5">22192.270093</col>
    <col colNumber="6">0.000000</col>
    <col colNumber="7">21777.627265</col>
    <col colNumber="8">32948.104502</col>
    <col colNumber="9">40943.532220</col>
    <col colNumber="10">54292.820835</col>
    <col colNumber="11">61137.851703</col>
    <col colNumber="12">66086.202040</col>
    <col colNumber="13">73132.561483</col>
    <col colNumber="14">74633.713911</col>
    <col colNumber="15">74949.895407</col>
    <col colNumber="16">75078.830462</col>
    <col colNumber="17">74767.637980</col>
    <col colNumber="18">72926.680906</col>
    <col colNumber="19">69356.456840</col>
    <col colNumber="20">66399.185897</col>
    <col colNumber="21">66129.546498</col>
    <col colNumber="22">66843.866894</col>
    <col colNumber="23">66806.796570</col>
    <col colNumber="24">65948.258882</col>
    <col colNumber="25">66755.787249</col>
    <col colNumber="26">65220.003503</col>
    <col colNumber="27">62230.184753</col>
    <col colNumber="28">64267.793574</col>
    <col colNumber="29">70053.400222</col>
    <col colNumber="30">75149.944130</col>
    <col colNumber="31">79167.383643</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="7">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">47512.255183</col>
    <col colNumber="3">42152.665228</col>
    <col colNumber="4">37854.829990</col>
    <col colNumber="5">31277.279923</col>
    <col colNumber="6">21777.627265</col>
    <col colNumber="7">0.000000</col>
    <col colNumber="8">22973.540222</col>
    <col colNumber="9">33319.084501</col>
    <col colNumber="10">48303.392386</col>
    <col colNumber="11">56394.381281</col>
    <col colNumber="12">62251.372907</col>
    <col colNumber="13">70262.758819</col>
    <col colNumber="14">71850.006112</col>
    <col colNumber="15">72047.787194</col>
    <col colNumber="16">72037.383301</col>
    <col colNumber="17">71283.051839</col>
    <col colNumber="18">68848.993493</col>
    <col colNumber="19">65848.019056</col>
    <col colNumber="20">66534.166639</col>
    <col colNumber="21">66216.554099</col>
    <col colNumber="22">67928.516365</col>
    <col colNumber="23">67973.329127</col>
    <col colNumber="24">67700.559169</col>
    <col colNumber="25">69131.392828</col>
    <col colNumber="26">69049.426748</col>
    <col colNumber="27">67158.224841</col>
    <col colNumber="28">62474.897909</col>
    <col colNumber="29">64839.988280</col>
    <col colNumber="30">71201.136300</col>
    <col colNumber="31">75861.360825</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="8">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">49554.756210</col>
    <col colNumber="3">47205.500627</col>
    <col colNumber="4">44931.156286</col>
    <col colNumber="5">39775.764192</col>
    <col colNumber="6">32948.104502</col>
    <col colNumber="7">22973.540222</col>
    <col colNumber="8">0.000000</col>
    <col colNumber="9">21477.593007</col>
    <col colNumber="10">40394.902852</col>
    <col colNumber="11">50078.739906</col>
    <col colNumber="12">57223.867757</col>
    <col colNumber="13">66920.138136</col>
    <col colNumber="14">68292.285209</col>
    <col colNumber="15">68403.175094</col>
    <col colNumber="16">67928.161841</col>
    <col colNumber="17">66142.891001</col>
    <col colNumber="18">64087.548376</col>
    <col colNumber="19">64682.584389</col>
    <col colNumber="20">65306.972889</col>
    <col colNumber="21">66083.795984</col>
    <col colNumber="22">67700.490751</col>
    <col colNumber="23">68467.311738</col>
    <col colNumber="24">68800.882280</col>
    <col colNumber="25">72963.502390</col>
    <col colNumber="26">73185.100896</col>
    <col colNumber="27">71689.946579</col>
    <col colNumber="28">68146.667351</col>
    <col colNumber="29">62101.418283</col>
    <col colNumber="30">64200.014638</col>
    <col colNumber="31">70432.382837</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="9">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">53972.549693</col>
    <col colNumber="3">53026.200076</col>
    <col colNumber="4">50808.419631</col>
    <col colNumber="5">46485.697476</col>
    <col colNumber="6">40943.532220</col>
    <col colNumber="7">33319.084501</col>
    <col colNumber="8">21477.593007</col>
    <col colNumber="9">0.000000</col>
    <col colNumber="10">30768.755203</col>
    <col colNumber="11">43256.202540</col>
    <col colNumber="12">51986.378719</col>
    <col colNumber="13">62998.121557</col>
    <col colNumber="14">64555.748846</col>
    <col colNumber="15">64381.284199</col>
    <col colNumber="16">63310.410058</col>
    <col colNumber="17">61635.440610</col>
    <col colNumber="18">62837.921157</col>
    <col colNumber="19">63219.080944</col>
    <col colNumber="20">64950.046403</col>
    <col colNumber="21">65361.610215</col>
    <col colNumber="22">67757.196033</col>
    <col colNumber="23">68883.259292</col>
    <col colNumber="24">72646.599880</col>
    <col colNumber="25">76754.784691</col>
    <col colNumber="26">77033.108450</col>
    <col colNumber="27">75844.112799</col>
    <col colNumber="28">72904.739946</col>
    <col colNumber="29">68454.676145</col>
    <col colNumber="30">61294.884886</col>
    <col colNumber="31">63309.459557</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="10">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">62996.447513</col>
    <col colNumber="3">62385.114666</col>
    <col colNumber="4">60951.829781</col>
    <col colNumber="5">58168.045911</col>
    <col colNumber="6">54292.820835</col>
    <col colNumber="7">48303.392386</col>
    <col colNumber="8">40394.902852</col>
    <col colNumber="9">30768.755203</col>
    <col colNumber="10">0.000000</col>
    <col colNumber="11">26466.325663</col>
    <col colNumber="12">38526.054821</col>
    <col colNumber="13">52654.090941</col>
    <col colNumber="14">54765.227961</col>
    <col colNumber="15">54719.961939</col>
    <col colNumber="16">54475.740411</col>
    <col colNumber="17">56113.224606</col>
    <col colNumber="18">57198.900050</col>
    <col colNumber="19">58286.212639</col>
    <col colNumber="20">60733.472986</col>
    <col colNumber="21">61145.509203</col>
    <col colNumber="22">67347.074042</col>
    <col colNumber="23">72262.666401</col>
    <col colNumber="24">75976.793243</col>
    <col colNumber="25">79908.681972</col>
    <col colNumber="26">80055.186622</col>
    <col colNumber="27">79140.559064</col>
    <col colNumber="28">76663.596145</col>
    <col colNumber="29">73060.052002</col>
    <col colNumber="30">67784.992325</col>
    <col colNumber="31">60919.485864</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="11">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">68783.529213</col>
    <col colNumber="3">68213.887920</col>
    <col colNumber="4">66968.410223</col>
    <col colNumber="5">64189.598980</col>
    <col colNumber="6">61137.851703</col>
    <col colNumber="7">56394.381281</col>
    <col colNumber="8">50078.739906</col>
    <col colNumber="9">43256.202540</col>
    <col colNumber="10">26466.325663</col>
    <col colNumber="11">0.000000</col>
    <col colNumber="12">24532.143541</col>
    <col colNumber="13">43259.755352</col>
    <col colNumber="14">46705.411407</col>
    <col colNumber="15">47857.763222</col>
    <col colNumber="16">50347.642249</col>
    <col colNumber="17">52212.420998</col>
    <col colNumber="18">54070.799388</col>
    <col colNumber="19">54912.550950</col>
    <col colNumber="20">57666.926582</col>
    <col colNumber="21">59101.828437</col>
    <col colNumber="22">68959.316045</col>
    <col colNumber="23">74871.097257</col>
    <col colNumber="24">78413.868625</col>
    <col colNumber="25">82235.844390</col>
    <col colNumber="26">82231.575943</col>
    <col colNumber="27">81274.802293</col>
    <col colNumber="28">79169.308649</col>
    <col colNumber="29">76066.665345</col>
    <col colNumber="30">71720.002157</col>
    <col colNumber="31">66253.677162</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="12">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">72707.932241</col>
    <col colNumber="3">72415.437587</col>
    <col colNumber="4">71276.883240</col>
    <col colNumber="5">68827.461286</col>
    <col colNumber="6">66086.202040</col>
    <col colNumber="7">62251.372907</col>
    <col colNumber="8">57223.867757</col>
    <col colNumber="9">51986.378719</col>
    <col colNumber="10">38526.054821</col>
    <col colNumber="11">24532.143541</col>
    <col colNumber="12">0.000000</col>
    <col colNumber="13">31345.360608</col>
    <col colNumber="14">37237.770341</col>
    <col colNumber="15">42251.793872</col>
    <col colNumber="16">45461.736149</col>
    <col colNumber="17">48337.896318</col>
    <col colNumber="18">50154.202827</col>
    <col colNumber="19">51521.835316</col>
    <col colNumber="20">54414.484381</col>
    <col colNumber="21">59372.092385</col>
    <col colNumber="22">69604.316597</col>
    <col colNumber="23">75134.321245</col>
    <col colNumber="24">79711.815075</col>
    <col colNumber="25">83403.758882</col>
    <col colNumber="26">83380.531811</col>
    <col colNumber="27">82464.853723</col>
    <col colNumber="28">80483.176161</col>
    <col colNumber="29">77876.822161</col>
    <col colNumber="30">74178.771374</col>
    <col colNumber="31">69671.463037</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="13">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">77728.168087</col>
    <col colNumber="3">78300.335678</col>
    <col colNumber="4">77519.703453</col>
    <col colNumber="5">75404.966195</col>
    <col colNumber="6">73132.561483</col>
    <col colNumber="7">70262.758819</col>
    <col colNumber="8">66920.138136</col>
    <col colNumber="9">62998.121557</col>
    <col colNumber="10">52654.090941</col>
    <col colNumber="11">43259.755352</col>
    <col colNumber="12">31345.360608</col>
    <col colNumber="13">0.000000</col>
    <col colNumber="14">19489.368787</col>
    <col colNumber="15">28507.234548</col>
    <col colNumber="16">35239.837710</col>
    <col colNumber="17">39219.009845</col>
    <col colNumber="18">42138.463476</col>
    <col colNumber="19">44795.938807</col>
    <col colNumber="20">51217.893272</col>
    <col colNumber="21">56035.378726</col>
    <col colNumber="22">66164.630755</col>
    <col colNumber="23">72762.423632</col>
    <col colNumber="24">76703.545340</col>
    <col colNumber="25">83462.931903</col>
    <col colNumber="26">83524.308484</col>
    <col colNumber="27">82735.852509</col>
    <col colNumber="28">80830.012181</col>
    <col colNumber="29">78313.280658</col>
    <col colNumber="30">74944.277781</col>
    <col colNumber="31">70981.420487</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="14">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">79233.914805</col>
    <col colNumber="3">79761.932303</col>
    <col colNumber="4">79082.350698</col>
    <col colNumber="5">76989.699610</col>
    <col colNumber="6">74633.713911</col>
    <col colNumber="7">71850.006112</col>
    <col colNumber="8">68292.285209</col>
    <col colNumber="9">64555.748846</col>
    <col colNumber="10">54765.227961</col>
    <col colNumber="11">46705.411407</col>
    <col colNumber="12">37237.770341</col>
    <col colNumber="13">19489.368787</col>
    <col colNumber="14">0.000000</col>
    <col colNumber="15">18496.893857</col>
    <col colNumber="16">28648.137053</col>
    <col colNumber="17">34330.217907</col>
    <col colNumber="18">38387.583493</col>
    <col colNumber="19">44101.851825</col>
    <col colNumber="20">50834.317443</col>
    <col colNumber="21">55382.800860</col>
    <col colNumber="22">65907.440784</col>
    <col colNumber="23">72383.483652</col>
    <col colNumber="24">76537.088212</col>
    <col colNumber="25">83521.226899</col>
    <col colNumber="26">83437.136584</col>
    <col colNumber="27">82660.101720</col>
    <col colNumber="28">80732.792706</col>
    <col colNumber="29">78174.403753</col>
    <col colNumber="30">74835.683404</col>
    <col colNumber="31">70967.151424</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="15">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">79759.124871</col>
    <col colNumber="3">80120.965235</col>
    <col colNumber="4">79475.262208</col>
    <col colNumber="5">77287.681658</col>
    <col colNumber="6">74949.895407</col>
    <col colNumber="7">72047.787194</col>
    <col colNumber="8">68403.175094</col>
    <col colNumber="9">64381.284199</col>
    <col colNumber="10">54719.961939</col>
    <col colNumber="11">47857.763222</col>
    <col colNumber="12">42251.793872</col>
    <col colNumber="13">28507.234548</col>
    <col colNumber="14">18496.893857</col>
    <col colNumber="15">0.000000</col>
    <col colNumber="16">19650.970530</col>
    <col colNumber="17">28098.634072</col>
    <col colNumber="18">35345.103607</col>
    <col colNumber="19">41603.019278</col>
    <col colNumber="20">48877.044941</col>
    <col colNumber="21">53303.553997</col>
    <col colNumber="22">64612.869887</col>
    <col colNumber="23">71102.979702</col>
    <col colNumber="24">75363.219857</col>
    <col colNumber="25">82618.684143</col>
    <col colNumber="26">82551.225699</col>
    <col colNumber="27">81576.443077</col>
    <col colNumber="28">79753.548075</col>
    <col colNumber="29">76974.136989</col>
    <col colNumber="30">73552.823812</col>
    <col colNumber="31">69314.003961</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="16">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">79626.301442</col>
    <col colNumber="3">80118.414652</col>
    <col colNumber="4">79449.660142</col>
    <col colNumber="5">77425.588918</col>
    <col colNumber="6">75078.830462</col>
    <col colNumber="7">72037.383301</col>
    <col colNumber="8">67928.161841</col>
    <col colNumber="9">63310.410058</col>
    <col colNumber="10">54475.740411</col>
    <col colNumber="11">50347.642249</col>
    <col colNumber="12">45461.736149</col>
    <col colNumber="13">35239.837710</col>
    <col colNumber="14">28648.137053</col>
    <col colNumber="15">19650.970530</col>
    <col colNumber="16">0.000000</col>
    <col colNumber="17">18501.846681</col>
    <col colNumber="18">29011.821975</col>
    <col colNumber="19">36711.079180</col>
    <col colNumber="20">44926.450453</col>
    <col colNumber="21">49802.982382</col>
    <col colNumber="22">62037.082451</col>
    <col colNumber="23">69116.915743</col>
    <col colNumber="24">73534.722861</col>
    <col colNumber="25">81110.172774</col>
    <col colNumber="26">81101.599221</col>
    <col colNumber="27">80109.148213</col>
    <col colNumber="28">78058.242028</col>
    <col colNumber="29">75133.138129</col>
    <col colNumber="30">71014.596956</col>
    <col colNumber="31">66158.772043</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="17">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">79017.457997</col>
    <col colNumber="3">79652.890568</col>
    <col colNumber="4">79077.657043</col>
    <col colNumber="5">76995.528772</col>
    <col colNumber="6">74767.637980</col>
    <col colNumber="7">71283.051839</col>
    <col colNumber="8">66142.891001</col>
    <col colNumber="9">61635.440610</col>
    <col colNumber="10">56113.224606</col>
    <col colNumber="11">52212.420998</col>
    <col colNumber="12">48337.896318</col>
    <col colNumber="13">39219.009845</col>
    <col colNumber="14">34330.217907</col>
    <col colNumber="15">28098.634072</col>
    <col colNumber="16">18501.846681</col>
    <col colNumber="17">0.000000</col>
    <col colNumber="18">20033.732336</col>
    <col colNumber="19">30323.191809</col>
    <col colNumber="20">40242.307769</col>
    <col colNumber="21">45423.045854</col>
    <col colNumber="22">58879.189190</col>
    <col colNumber="23">66137.872859</col>
    <col colNumber="24">70977.386494</col>
    <col colNumber="25">79140.797249</col>
    <col colNumber="26">79087.965970</col>
    <col colNumber="27">78076.297214</col>
    <col colNumber="28">75699.875977</col>
    <col colNumber="29">72114.324193</col>
    <col colNumber="30">67219.493805</col>
    <col colNumber="31">65560.763359</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="18">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">77584.361388</col>
    <col colNumber="3">78236.298792</col>
    <col colNumber="4">77776.772501</col>
    <col colNumber="5">75591.174597</col>
    <col colNumber="6">72926.680906</col>
    <col colNumber="7">68848.993493</col>
    <col colNumber="8">64087.548376</col>
    <col colNumber="9">62837.921157</col>
    <col colNumber="10">57198.900050</col>
    <col colNumber="11">54070.799388</col>
    <col colNumber="12">50154.202827</col>
    <col colNumber="13">42138.463476</col>
    <col colNumber="14">38387.583493</col>
    <col colNumber="15">35345.103607</col>
    <col colNumber="16">29011.821975</col>
    <col colNumber="17">20033.732336</col>
    <col colNumber="18">0.000000</col>
    <col colNumber="19">21289.059368</col>
    <col colNumber="20">33625.494796</col>
    <col colNumber="21">40224.994028</col>
    <col colNumber="22">54798.523355</col>
    <col colNumber="23">62905.516114</col>
    <col colNumber="24">67692.931142</col>
    <col colNumber="25">76701.992858</col>
    <col colNumber="26">76580.339251</col>
    <col colNumber="27">75183.540301</col>
    <col colNumber="28">72444.294063</col>
    <col colNumber="29">67543.400451</col>
    <col colNumber="30">66750.595674</col>
    <col colNumber="31">65193.463726</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="19">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">74687.021021</col>
    <col colNumber="3">75367.852647</col>
    <col colNumber="4">74861.510163</col>
    <col colNumber="5">72556.206213</col>
    <col colNumber="6">69356.456840</col>
    <col colNumber="7">65848.019056</col>
    <col colNumber="8">64682.584389</col>
    <col colNumber="9">63219.080944</col>
    <col colNumber="10">58286.212639</col>
    <col colNumber="11">54912.550950</col>
    <col colNumber="12">51521.835316</col>
    <col colNumber="13">44795.938807</col>
    <col colNumber="14">44101.851825</col>
    <col colNumber="15">41603.019278</col>
    <col colNumber="16">36711.079180</col>
    <col colNumber="17">30323.191809</col>
    <col colNumber="18">21289.059368</col>
    <col colNumber="19">0.000000</col>
    <col colNumber="20">23911.654440</col>
    <col colNumber="21">32206.847750</col>
    <col colNumber="22">49204.799682</col>
    <col colNumber="23">58176.368754</col>
    <col colNumber="24">63395.807045</col>
    <col colNumber="25">72738.950785</col>
    <col colNumber="26">72555.846914</col>
    <col colNumber="27">70905.934943</col>
    <col colNumber="28">67247.204564</col>
    <col colNumber="29">66881.696302</col>
    <col colNumber="30">65634.741517</col>
    <col colNumber="31">65184.423893</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="20">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">71403.664132</col>
    <col colNumber="3">72472.270631</col>
    <col colNumber="4">71853.594698</col>
    <col colNumber="5">69063.832868</col>
    <col colNumber="6">66399.185897</col>
    <col colNumber="7">66534.166639</col>
    <col colNumber="8">65306.972889</col>
    <col colNumber="9">64950.046403</col>
    <col colNumber="10">60733.472986</col>
    <col colNumber="11">57666.926582</col>
    <col colNumber="12">54414.484381</col>
    <col colNumber="13">51217.893272</col>
    <col colNumber="14">50834.317443</col>
    <col colNumber="15">48877.044941</col>
    <col colNumber="16">44926.450453</col>
    <col colNumber="17">40242.307769</col>
    <col colNumber="18">33625.494796</col>
    <col colNumber="19">23911.654440</col>
    <col colNumber="20">0.000000</col>
    <col colNumber="21">25239.480395</col>
    <col colNumber="22">41700.045306</col>
    <col colNumber="23">52417.094078</col>
    <col colNumber="24">57940.625967</col>
    <col colNumber="25">68172.149273</col>
    <col colNumber="26">67313.788663</col>
    <col colNumber="27">64884.161561</col>
    <col colNumber="28">65386.257179</col>
    <col colNumber="29">65050.363184</col>
    <col colNumber="30">65259.813365</col>
    <col colNumber="31">64024.404820</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="21">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">66958.107322</col>
    <col colNumber="3">68247.637640</col>
    <col colNumber="4">67486.098274</col>
    <col colNumber="5">65416.164227</col>
    <col colNumber="6">66129.546498</col>
    <col colNumber="7">66216.554099</col>
    <col colNumber="8">66083.795984</col>
    <col colNumber="9">65361.610215</col>
    <col colNumber="10">61145.509203</col>
    <col colNumber="11">59101.828437</col>
    <col colNumber="12">59372.092385</col>
    <col colNumber="13">56035.378726</col>
    <col colNumber="14">55382.800860</col>
    <col colNumber="15">53303.553997</col>
    <col colNumber="16">49802.982382</col>
    <col colNumber="17">45423.045854</col>
    <col colNumber="18">40224.994028</col>
    <col colNumber="19">32206.847750</col>
    <col colNumber="20">25239.480395</col>
    <col colNumber="21">0.000000</col>
    <col colNumber="22">34455.467839</col>
    <col colNumber="23">45324.905609</col>
    <col colNumber="24">51979.855466</col>
    <col colNumber="25">62878.880993</col>
    <col colNumber="26">62002.928036</col>
    <col colNumber="27">63158.169214</col>
    <col colNumber="28">63817.235808</col>
    <col colNumber="29">64891.752140</col>
    <col colNumber="30">64359.344537</col>
    <col colNumber="31">64432.503992</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="22">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">63661.024441</col>
    <col colNumber="3">65492.994226</col>
    <col colNumber="4">65349.711227</col>
    <col colNumber="5">65934.927539</col>
    <col colNumber="6">66843.866894</col>
    <col colNumber="7">67928.516365</col>
    <col colNumber="8">67700.490751</col>
    <col colNumber="9">67757.196033</col>
    <col colNumber="10">67347.074042</col>
    <col colNumber="11">68959.316045</col>
    <col colNumber="12">69604.316597</col>
    <col colNumber="13">66164.630755</col>
    <col colNumber="14">65907.440784</col>
    <col colNumber="15">64612.869887</col>
    <col colNumber="16">62037.082451</col>
    <col colNumber="17">58879.189190</col>
    <col colNumber="18">54798.523355</col>
    <col colNumber="19">49204.799682</col>
    <col colNumber="20">41700.045306</col>
    <col colNumber="21">34455.467839</col>
    <col colNumber="22">0.000000</col>
    <col colNumber="23">27988.190411</col>
    <col colNumber="24">35425.902463</col>
    <col colNumber="25">48230.567194</col>
    <col colNumber="26">51090.948617</col>
    <col colNumber="27">52994.702143</col>
    <col colNumber="28">55488.224532</col>
    <col colNumber="29">56629.637661</col>
    <col colNumber="30">57629.233501</col>
    <col colNumber="31">57354.646545</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="23">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">60194.888020</col>
    <col colNumber="3">62693.482868</col>
    <col colNumber="4">64106.808492</col>
    <col colNumber="5">65097.427203</col>
    <col colNumber="6">66806.796570</col>
    <col colNumber="7">67973.329127</col>
    <col colNumber="8">68467.311738</col>
    <col colNumber="9">68883.259292</col>
    <col colNumber="10">72262.666401</col>
    <col colNumber="11">74871.097257</col>
    <col colNumber="12">75134.321245</col>
    <col colNumber="13">72762.423632</col>
    <col colNumber="14">72383.483652</col>
    <col colNumber="15">71102.979702</col>
    <col colNumber="16">69116.915743</col>
    <col colNumber="17">66137.872859</col>
    <col colNumber="18">62905.516114</col>
    <col colNumber="19">58176.368754</col>
    <col colNumber="20">52417.094078</col>
    <col colNumber="21">45324.905609</col>
    <col colNumber="22">27988.190411</col>
    <col colNumber="23">0.000000</col>
    <col colNumber="24">25419.518454</col>
    <col colNumber="25">39115.081813</col>
    <col colNumber="26">43286.636378</col>
    <col colNumber="27">46464.067864</col>
    <col colNumber="28">49295.250952</col>
    <col colNumber="29">51569.526758</col>
    <col colNumber="30">52258.849419</col>
    <col colNumber="31">56297.351582</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="24">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">61514.006906</col>
    <col colNumber="3">60453.940710</col>
    <col colNumber="4">62372.702952</col>
    <col colNumber="5">63932.143616</col>
    <col colNumber="6">65948.258882</col>
    <col colNumber="7">67700.559169</col>
    <col colNumber="8">68800.882280</col>
    <col colNumber="9">72646.599880</col>
    <col colNumber="10">75976.793243</col>
    <col colNumber="11">78413.868625</col>
    <col colNumber="12">79711.815075</col>
    <col colNumber="13">76703.545340</col>
    <col colNumber="14">76537.088212</col>
    <col colNumber="15">75363.219857</col>
    <col colNumber="16">73534.722861</col>
    <col colNumber="17">70977.386494</col>
    <col colNumber="18">67692.931142</col>
    <col colNumber="19">63395.807045</col>
    <col colNumber="20">57940.625967</col>
    <col colNumber="21">51979.855466</col>
    <col colNumber="22">35425.902463</col>
    <col colNumber="23">25419.518454</col>
    <col colNumber="24">0.000000</col>
    <col colNumber="25">28464.421791</col>
    <col colNumber="26">34877.147397</col>
    <col colNumber="27">38867.112226</col>
    <col colNumber="28">42901.501629</col>
    <col colNumber="29">45496.667038</col>
    <col colNumber="30">50363.316089</col>
    <col colNumber="31">55081.870501</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="25">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">65810.631427</col>
    <col colNumber="3">62812.619775</col>
    <col colNumber="4">62044.993813</col>
    <col colNumber="5">64062.169719</col>
    <col colNumber="6">66755.787249</col>
    <col colNumber="7">69131.392828</col>
    <col colNumber="8">72963.502390</col>
    <col colNumber="9">76754.784691</col>
    <col colNumber="10">79908.681972</col>
    <col colNumber="11">82235.844390</col>
    <col colNumber="12">83403.758882</col>
    <col colNumber="13">83462.931903</col>
    <col colNumber="14">83521.226899</col>
    <col colNumber="15">82618.684143</col>
    <col colNumber="16">81110.172774</col>
    <col colNumber="17">79140.797249</col>
    <col colNumber="18">76701.992858</col>
    <col colNumber="19">72738.950785</col>
    <col colNumber="20">68172.149273</col>
    <col colNumber="21">62878.880993</col>
    <col colNumber="22">48230.567194</col>
    <col colNumber="23">39115.081813</col>
    <col colNumber="24">28464.421791</col>
    <col colNumber="25">0.000000</col>
    <col colNumber="26">18102.621366</col>
    <col colNumber="27">24884.158887</col>
    <col colNumber="28">30434.806461</col>
    <col colNumber="29">36773.188853</col>
    <col colNumber="30">42746.781360</col>
    <col colNumber="31">48142.850691</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="26">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">68359.122444</col>
    <col colNumber="3">65686.247995</col>
    <col colNumber="4">63264.415368</col>
    <col colNumber="5">61920.999882</col>
    <col colNumber="6">65220.003503</col>
    <col colNumber="7">69049.426748</col>
    <col colNumber="8">73185.100896</col>
    <col colNumber="9">77033.108450</col>
    <col colNumber="10">80055.186622</col>
    <col colNumber="11">82231.575943</col>
    <col colNumber="12">83380.531811</col>
    <col colNumber="13">83524.308484</col>
    <col colNumber="14">83437.136584</col>
    <col colNumber="15">82551.225699</col>
    <col colNumber="16">81101.599221</col>
    <col colNumber="17">79087.965970</col>
    <col colNumber="18">76580.339251</col>
    <col colNumber="19">72555.846914</col>
    <col colNumber="20">67313.788663</col>
    <col colNumber="21">62002.928036</col>
    <col colNumber="22">51090.948617</col>
    <col colNumber="23">43286.636378</col>
    <col colNumber="24">34877.147397</col>
    <col colNumber="25">18102.621366</col>
    <col colNumber="26">0.000000</col>
    <col colNumber="27">15398.156895</col>
    <col colNumber="28">24868.421290</col>
    <col colNumber="29">32984.274120</col>
    <col colNumber="30">39287.695003</col>
    <col colNumber="31">45064.218110</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="27">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">70875.229577</col>
    <col colNumber="3">68462.266384</col>
    <col colNumber="4">66520.580354</col>
    <col colNumber="5">63417.572081</col>
    <col colNumber="6">62230.184753</col>
    <col colNumber="7">67158.224841</col>
    <col colNumber="8">71689.946579</col>
    <col colNumber="9">75844.112799</col>
    <col colNumber="10">79140.559064</col>
    <col colNumber="11">81274.802293</col>
    <col colNumber="12">82464.853723</col>
    <col colNumber="13">82735.852509</col>
    <col colNumber="14">82660.101720</col>
    <col colNumber="15">81576.443077</col>
    <col colNumber="16">80109.148213</col>
    <col colNumber="17">78076.297214</col>
    <col colNumber="18">75183.540301</col>
    <col colNumber="19">70905.934943</col>
    <col colNumber="20">64884.161561</col>
    <col colNumber="21">63158.169214</col>
    <col colNumber="22">52994.702143</col>
    <col colNumber="23">46464.067864</col>
    <col colNumber="24">38867.112226</col>
    <col colNumber="25">24884.158887</col>
    <col colNumber="26">15398.156895</col>
    <col colNumber="27">0.000000</col>
    <col colNumber="28">18328.071535</col>
    <col colNumber="29">28089.140748</col>
    <col colNumber="30">35586.692331</col>
    <col colNumber="31">41651.583854</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="28">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">72846.184014</col>
    <col colNumber="3">70934.882483</col>
    <col colNumber="4">69866.966627</col>
    <col colNumber="5">67936.629892</col>
    <col colNumber="6">64267.793574</col>
    <col colNumber="7">62474.897909</col>
    <col colNumber="8">68146.667351</col>
    <col colNumber="9">72904.739946</col>
    <col colNumber="10">76663.596145</col>
    <col colNumber="11">79169.308649</col>
    <col colNumber="12">80483.176161</col>
    <col colNumber="13">80830.012181</col>
    <col colNumber="14">80732.792706</col>
    <col colNumber="15">79753.548075</col>
    <col colNumber="16">78058.242028</col>
    <col colNumber="17">75699.875977</col>
    <col colNumber="18">72444.294063</col>
    <col colNumber="19">67247.204564</col>
    <col colNumber="20">65386.257179</col>
    <col colNumber="21">63817.235808</col>
    <col colNumber="22">55488.224532</col>
    <col colNumber="23">49295.250952</col>
    <col colNumber="24">42901.501629</col>
    <col colNumber="25">30434.806461</col>
    <col colNumber="26">24868.421290</col>
    <col colNumber="27">18328.071535</col>
    <col colNumber="28">0.000000</col>
    <col colNumber="29">19246.055644</col>
    <col colNumber="30">28259.731658</col>
    <col colNumber="31">35962.548774</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="29">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">74727.047959</col>
    <col colNumber="3">73797.227599</col>
    <col colNumber="4">74549.719925</col>
    <col colNumber="5">72875.070081</col>
    <col colNumber="6">70053.400222</col>
    <col colNumber="7">64839.988280</col>
    <col colNumber="8">62101.418283</col>
    <col colNumber="9">68454.676145</col>
    <col colNumber="10">73060.052002</col>
    <col colNumber="11">76066.665345</col>
    <col colNumber="12">77876.822161</col>
    <col colNumber="13">78313.280658</col>
    <col colNumber="14">78174.403753</col>
    <col colNumber="15">76974.136989</col>
    <col colNumber="16">75133.138129</col>
    <col colNumber="17">72114.324193</col>
    <col colNumber="18">67543.400451</col>
    <col colNumber="19">66881.696302</col>
    <col colNumber="20">65050.363184</col>
    <col colNumber="21">64891.752140</col>
    <col colNumber="22">56629.637661</col>
    <col colNumber="23">51569.526758</col>
    <col colNumber="24">45496.667038</col>
    <col colNumber="25">36773.188853</col>
    <col colNumber="26">32984.274120</col>
    <col colNumber="27">28089.140748</col>
    <col colNumber="28">19246.055644</col>
    <col colNumber="29">0.000000</col>
    <col colNumber="30">18183.290290</col>
    <col colNumber="31">28348.769316</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="30">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">76432.076506</col>
    <col colNumber="3">78142.443331</col>
    <col colNumber="4">78856.112317</col>
    <col colNumber="5">77408.432775</col>
    <col colNumber="6">75149.944130</col>
    <col colNumber="7">71201.136300</col>
    <col colNumber="8">64200.014638</col>
    <col colNumber="9">61294.884886</col>
    <col colNumber="10">67784.992325</col>
    <col colNumber="11">71720.002157</col>
    <col colNumber="12">74178.771374</col>
    <col colNumber="13">74944.277781</col>
    <col colNumber="14">74835.683404</col>
    <col colNumber="15">73552.823812</col>
    <col colNumber="16">71014.596956</col>
    <col colNumber="17">67219.493805</col>
    <col colNumber="18">66750.595674</col>
    <col colNumber="19">65634.741517</col>
    <col colNumber="20">65259.813365</col>
    <col colNumber="21">64359.344537</col>
    <col colNumber="22">57629.233501</col>
    <col colNumber="23">52258.849419</col>
    <col colNumber="24">50363.316089</col>
    <col colNumber="25">42746.781360</col>
    <col colNumber="26">39287.695003</col>
    <col colNumber="27">35586.692331</col>
    <col colNumber="28">28259.731658</col>
    <col colNumber="29">18183.290290</col>
    <col colNumber="30">0.000000</col>
    <col colNumber="31">19367.636539</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="31">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">80241.014501</col>
    <col colNumber="3">81916.325543</col>
    <col colNumber="4">82465.882022</col>
    <col colNumber="5">81040.940599</col>
    <col colNumber="6">79167.383643</col>
    <col colNumber="7">75861.360825</col>
    <col colNumber="8">70432.382837</col>
    <col colNumber="9">63309.459557</col>
    <col colNumber="10">60919.485864</col>
    <col colNumber="11">66253.677162</col>
    <col colNumber="12">69671.463037</col>
    <col colNumber="13">70981.420487</col>
    <col colNumber="14">70967.151424</col>
    <col colNumber="15">69314.003961</col>
    <col colNumber="16">66158.772043</col>
    <col colNumber="17">65560.763359</col>
    <col colNumber="18">65193.463726</col>
    <col colNumber="19">65184.423893</col>
    <col colNumber="20">64024.404820</col>
    <col colNumber="21">64432.503992</col>
    <col colNumber="22">57354.646545</col>
    <col colNumber="23">56297.351582</col>
    <col colNumber="24">55081.870501</col>
    <col colNumber="25">48142.850691</col>
    <col colNumber="26">45064.218110</col>
    <col colNumber="27">41651.583854</col>
    <col colNumber="28">35962.548774</col>
    <col colNumber="29">28348.769316</col>
    <col colNumber="30">19367.636539</col>
    <col colNumber="31">0.000000</col>
    <col colNumber="32">0.000000</col>
    </row>
    <row rowNumber="32">
    <col colNumber="0">0.000000</col>
    <col colNumber="1">0.000000</col>
    <col colNumber="2">0.000000</col>
    <col colNumber="3">0.000000</col>
    <col colNumber="4">0.000000</col>
    <col colNumber="5">0.000000</col>
    <col colNumber="6">0.000000</col>
    <col colNumber="7">0.000000</col>
    <col colNumber="8">0.000000</col>
    <col colNumber="9">0.000000</col>
    <col colNumber="10">0.000000</col>
    <col colNumber="11">0.000000</col>
    <col colNumber="12">0.000000</col>
    <col colNumber="13">0.000000</col>
    <col colNumber="14">0.000000</col>
    <col colNumber="15">0.000000</col>
    <col colNumber="16">0.000000</col>
    <col colNumber="17">0.000000</col>
    <col colNumber="18">0.000000</col>
    <col colNumber="19">0.000000</col>
    <col colNumber="20">0.000000</col>
    <col colNumber="21">0.000000</col>
    <col colNumber="22">0.000000</col>
    <col colNumber="23">0.000000</col>
    <col colNumber="24">0.000000</col>
    <col colNumber="25">0.000000</col>
    <col colNumber="26">0.000000</col>
    <col colNumber="27">0.000000</col>
    <col colNumber="28">0.000000</col>
    <col colNumber="29">0.000000</col>
    <col colNumber="30">0.000000</col>
    <col colNumber="31">0.000000</col>
    <col colNumber="32">0.000000</col>
    </row>
    </root>
    I'm pretty sure it's correct. I really can't put my finger on this at all.

  • [SOLVED] Can I submit a package including source code inside to AUR?

    I'm about to make PKGBUILD for scim-unikey (http://code.google.com/p/scim-unikey/), they dont not have a public subversion url right now. The current version on their site is quite old. They update the newest package through a thread here http://forum.ubuntu-vn.org/viewtopic.ph … &sk=t&sd=a (WARNING: it's Vietnamese).
    I want to make a package for the newest version, so my question is: can I include the source code of the newest version inside my tarball to the AUR?
    The wiki http://wiki.archlinux.org/index.php/AUR_User_Guidelines and http://wiki.archlinux.org/index.php/Arc … _Standards dont mention anything about included source code.
    Comments are welcome!
    Last edited by tinhtruong (2009-02-22 07:57:24)

    Many thanks. Here is the details what I've done:
    set the 'source' in the PKGBUILD file like this:
    source=($pkgname-$pkgver.tar.bz2)
    Instead of a valid url, make sure you have the file '$pkgname-$pkgver.tar.bz2' (in my case it's scim-unikey-20090218.tar.bz2) is in the same directory as the PKGBUILD file.
    Hope it could be useful to someone else.

  • [SOLVED] Symbolic links for python (v2) modules

    I was blind, sry
    To solve the issue:
    https://code.google.com/p/git-repo/issues/detail?id=168
    rm ~/.repopickle_.gitconfig
    Didn't work before for me as I made a dumb fail...
    Hello,
    I tried to understand and follow the wiki (https://wiki.archlinux.org/index.php/an … nvironment) about building Android as good as I could.
    Everything works till the part with setting the virtualenv2 for using python 2 (python -V gives v2.7.9 back). I understood everything till there, and even after that. Sadly it still doesn't work
    The first problem accuring is that when issueing
    ln -s /usr/lib/python2.7/* /Data/Android_Build/venv/lib/python2.7/
    I get "file exists" for every existing file. Is that wanted as it only should "add" modules not being in 'android/venv/lib/python-2.7/' ? After that I tried issueing 'repo init -u' but sadly this just gives me a python error.
    $ repo init -u https://github.com/CyanogenMod/android.git -b cm-12.0
    Traceback (most recent call last):
    File "/home/leonard/android/system/.repo/repo/main.py", line 500, in <module>
    _Main(sys.argv[1:])
    File "/home/leonard/android/system/.repo/repo/main.py", line 476, in _Main
    result = repo._Run(argv) or 0
    File "/home/leonard/android/system/.repo/repo/main.py", line 155, in _Run
    result = cmd.Execute(copts, cargs)
    File "/home/leonard/android/system/.repo/repo/subcmds/init.py", line 390, in Execute
    self._SyncManifest(opt)
    File "/home/leonard/android/system/.repo/repo/subcmds/init.py", line 149, in _SyncManifest
    print('Get %s' % GitConfig.ForUser().UrlInsteadOf(opt.manifest_url),
    File "/home/leonard/android/system/.repo/repo/git_config.py", line 219, in UrlInsteadOf
    for new_url in self.GetSubSections('url'):
    File "/home/leonard/android/system/.repo/repo/git_config.py", line 206, in GetSubSections
    return self._sections.get(section, set())
    File "/home/leonard/android/system/.repo/repo/git_config.py", line 230, in _sections
    for name in self._cache.keys():
    File "/home/leonard/android/system/.repo/repo/git_config.py", line 247, in _cache
    self._cache_dict = self._Read()
    File "/home/leonard/android/system/.repo/repo/git_config.py", line 251, in _Read
    d = self._ReadPickle()
    File "/home/leonard/android/system/.repo/repo/git_config.py", line 269, in _ReadPickle
    return pickle.load(fd)
    File "/home/leonard/android/venv/lib/python2.7/pickle.py", line 1378, in load
    return Unpickler(file).load()
    File "/home/leonard/android/venv/lib/python2.7/pickle.py", line 858, in load
    dispatch[key](self)
    File "/home/leonard/android/venv/lib/python2.7/pickle.py", line 886, in load_proto
    raise ValueError, "unsupported pickle protocol: %d" % proto
    ValueError: unsupported pickle protocol: 4
    Last edited by LeonardK (2015-01-03 17:40:18)

    Yes! You are right. Now, this sounds so familiar. I vaguely remember doing this when I originally installed Arch on this laptop, but I must have done it as part of the "beginners guide" procedure. I guess this explains it:
    https://wiki.archlinux.org/index.php?ti … did=168068
    Now, I take it from this that I safely remove ALL the symlinks from my rc.local?
    rc.local:
    ln -s /dev/sr0 /dev/cdrom
    ln -s /dev/sr0 /dev/cdrw
    ln -s /dev/sr0 /dev/dvd
    ln -s /dev/sr0 /dev/dvdrw

  • [Solved] Simple way to edit id3v2 comment tag in python?

    I'm working on a project right now that is going to read the id3v2 comment tag from an MP3 file, parse some things from it, and then append some text to the end.
    Right now I'm using id3v2 from extra to do this:
    comm = commands.getoutput( "id3info '%s' | grep '(Comments): ()'" % fileName )
    Then I use this to put it back:
    os.system( "id3tag -c \"%s\" '%s'" % (commNew, fileName) )
    I really don't want to rely on this package to insert this comment. I've been looking at eyeD3 and mutagen for a better way to do this, but I'm having trouble figuring it out.
    I know there has to be a more elegant solution out there. Any ideas?
    Last edited by ltpl4y3r (2009-04-05 05:00:52)

    Thanks Zariel, I had looked at mutagen before, but had never been able to edit the COMM tag properly. After toying with it and dissecting mid3v2. I was able to come up with the following:
    import mutagen.id3
    filename = 'File.mp3'
    id3 = mutagen.id3.ID3(filename)
    frame = mutagen.id3.COMM(encoding=3, lang='XXX', desc=u'', text=[u'Great comment!'])
    id3.add(frame)
    id3.save()
    Adding [Solved] tag...

  • [SOLVED] Deluge-web error, can't run daemon, seems python issue?

    Just recently I noticed my deluge-web wasn't running, so I just tried starting the daemon and get this:
    > sudo /etc/rc.d/deluge-web start
    Password:
    :: Starting Deluge WebUI [DONE]
    > Traceback (most recent call last):
    File "/usr/bin/deluge-web", line 9, in <module>
    load_entry_point('deluge==1.3.3', 'console_scripts', 'deluge-web')()
    File "/usr/lib/python2.7/site-packages/deluge/ui/web/web.py", line 138, in start
    web.start()
    File "/usr/lib/python2.7/site-packages/deluge/ui/web/web.py", line 107, in start
    import server
    File "/usr/lib/python2.7/site-packages/deluge/ui/web/server.py", line 59, in <module>
    from deluge.ui.web.auth import Auth
    File "/usr/lib/python2.7/site-packages/deluge/ui/web/auth.py", line 61, in <module>
    from deluge.ui.web.json_api import JSONComponent, export
    File "/usr/lib/python2.7/site-packages/deluge/ui/web/json_api.py", line 59, in <module>
    from deluge.ui.web.common import _, compress
    File "/usr/lib/python2.7/site-packages/deluge/ui/web/common.py", line 38, in <module>
    from mako.template import Template as MakoTemplate
    ImportError: No module named mako.template
    Deluge otherwise runs fine, including deluge-console and deluge-gtk. Appreciate any help
    Last edited by colbert (2012-02-10 03:46:02)

    So, I don't use deluge, but I see your error comes from a missing mako template, and I notice python2-mako is only an optional dependency.
    I suggest seeing whether it works after you run:
    pacman -Qq python2-mako || sudo pacman -S python2-mako

  • Modify code in include program of smartform function module

    Hi,
               Someone hardcoded breakpoint inside the smartform function code.
    I have to delete that breakpoint.But its asking access key.
    Can't we remove that line in any other way?.
    Thanks,
    Sri

    Hi,
    You can remove it from the smartform instead of trying in the smartform include program.
    Thanks
    Arul

  • [solved] kernel 3.2.8 fails with loading nvidia and virtualbox modules

    Topic says it. I just updated from kernel 3.2.7 to 3.2.8 and X won't start. The kernel fails to load the nvidia module with the follwing error: 'Exec format error'. Same for the virtualbox kernel modules. This is on x86_64, multilib and all testing repos enabled.
    Downgrade to 3.2.7 by
    pacman -S core/linux
    solves the issue.
    Last edited by Harey (2012-02-28 18:55:36)

    Allan wrote:Bug tracker...
    https://bugs.archlinux.org/task/28695

  • How to have an app include a JSP from a module outside of that app?

    How can you have your application include a JSP that is in a different
    module outside of that application?
    For example, /NASApp/app1/jsp/Main.jsp looks like the following...
    <jsp:include page="/mod1/jsp/header.jsp"/>
    <jsp:include page="/mod1/jsp/footer.jsp"/>
    For me, header.jsp and footer.jsp are not found because iAS is
    prepending "/app1" and trying to find
    <IAS>/APPS/app1/mod1/jsp/header.jsp on the file system instead of
    <IAS>/APPS/modules/mod1/jsp/header.jsp. Same for footer.jsp. Even if
    Main.jsp were part of a module and not an application, I see the same
    type of results.
    Earlier postings suggest this can be done as long as it is an
    application to module or module to module paradigm. But an application
    to application paradigm would violate J2EE. If this is true, how do you
    make this work?
    Thanks,
    George Cutrell
    Nextel Communications, Inc.

    Hi George,
    You cannot access any file in a j2ee application from other j2ee application, since it violates the j2ee specs. To do this, I think, the only way is to simply copy that file into your application.
    Thanks,
    Rakesh.

  • Is auto-hyphenation included in Lightroom 5 Book module ?

    The Book module is almost very good indeed but seems to lack some basic text functions that anyone could benefit from: flowing paragraphs, as in InDesign, such that hyphenation makes for better text blocks, for instance. Or guides such that you can place items with some precision. Books are not just picture books in Lightroom, unlike some offers around, so more sophisticated text handling is an urgent need if, like me, you like all the rest of the Book module and want some more sophisticated text features.

    This is not a known issue.  you may click the "file is missing" badge and see if the original file is still there?  if you use Smart Preview in Book module, you will still see this file is missing badge.

  • How do I solve this error message Exception Details: System.Exception: Unable to ExecuteModuleActionURI : Module/Jobs/Controller/Applications/Action/Apply/JobID/915337

    Server Error in '/' Application.
    Unable to ExecuteModuleActionURI : Module/Jobs/Controller/Applications/Action/Apply/JobID/915337
    Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code.
    Exception Details: System.Exception: Unable to ExecuteModuleActionURI : Module/Jobs/Controller/Applications/Action/Apply/JobID/915337
    Source Error:
    An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below.
    Stack Trace:
    [Exception: Unable to ExecuteModuleActionURI : Module/Jobs/Controller/Applications/Action/Apply/JobID/915337]
    BiteCMF.Util.Xsl.ExtensionObjects.BiteExtensionObject.ExecuteModuleActionURI(String moduleActionURI, String location) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Util\XSL\ExtensionObjects\BiteExtensionObject.cs:63
    [XslTransformException: An error occurred during a call to extension function 'ExecuteModuleActionURI'. See InnerException for a complete description of the error.]
    System.Xml.Xsl.Runtime.XmlExtensionFunction.Invoke(Object extObj, Object[] args) +1292307
    System.Xml.Xsl.Runtime.XmlQueryContext.InvokeXsltLateBoundFunction(String name, String namespaceUri, IList`1[] args) +806
    <xsl:template match="Job">(XmlQueryRuntime {urn:schemas-microsoft-com:xslt-debug}runtime, XPathNavigator {urn:schemas-microsoft-com:xslt-debug}current, String URL) +20724
    <xsl:template match="ViewData">(XmlQueryRuntime {urn:schemas-microsoft-com:xslt-debug}runtime, XPathNavigator {urn:schemas-microsoft-com:xslt-debug}current) +152
    <xsl:apply-templates>(XmlQueryRuntime {urn:schemas-microsoft-com:xslt-debug}runtime, XPathNavigator ) +806
    Root(XmlQueryRuntime {urn:schemas-microsoft-com:xslt-debug}runtime) +55
    System.Xml.Xsl.XmlILCommand.Execute(Object defaultDocument, XmlResolver dataSources, XsltArgumentList argumentList, XmlWriter writer, Boolean closeWriter) +150
    System.Xml.Xsl.XmlILCommand.Execute(IXPathNavigable contextDocument, XmlResolver dataSources, XsltArgumentList argumentList, XmlWriter results) +88
    System.Xml.Xsl.XslCompiledTransform.Transform(IXPathNavigable input, XsltArgumentList arguments, Stream results) +89
    BiteCMF.Util.Xsl.BiteXsl.Transform(XmlDocument xmlToTransform) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Util\XSL\BiteXSL.cs:216
    BiteCMF.Util.Xsl.BiteXsl.Transform(XmlDocument xmlToTransform, String xslUrl) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Util\XSL\BiteXSL.cs:182
    BiteCMF.Modules.ViewActionResult.ToString(BiteRequestBroker requestBroker) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Modules\ViewActionResult.cs:166
    BiteCMF.Modules.ViewActionResult.Process(BiteRequestBroker requestBroker) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Modules\ViewActionResult.cs:255
    BiteCMF.Modules.CMS.CMSRequestBroker.ProcessRequestAsFrontend() in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Modules\CMS\CMSRequestBroker.cs:221
    BiteCMF.Modules.CMS.CMSRequestBroker.HandleRequest() in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\Modules\CMS\CMSRequestBroker.cs:45
    BiteCMF.CMS.BiteRequestBroker.ExecuteModuleBrokers() in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\CMS\BiteRequestBroker.cs:165
    BiteCMF.CMS.BiteRequestBroker.ProcessRequest() in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\CMS\BiteRequestBroker.cs:83
    BiteCMF.BiteHttpModule.ProcessRequest(HttpApplication app) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\BiteHttpModule.cs:192
    BiteCMF.BiteHttpModule.Application_PostAcquireRequestState(Object source, EventArgs e) in C:\Users\mbailey.REDANT\Desktop\Projects\Changeboard\BiteCMF\BiteHttpModule.cs:164
    System.Web.SyncEventExecutionStep.System.Web.HttpApplication.IExecutionStep.Execute() +80
    System.Web.HttpApplication.ExecuteStep(IExecutionStep step, Boolean& completedSynchronously) +171
    Version Information: Microsoft .NET Framework Version:2.0.50727.5448; ASP.NET Version:2.0.50727.5456

    http://ww2.cs.fsu.edu/~rosentha/linux/2.6.26.5/docs/DocBook/libata/ch07.html#excatATAbusErr wrote:
    ATA bus error means that data corruption occurred during transmission over ATA bus (SATA or PATA). This type of errors can be indicated by
    ICRC or ABRT error as described in the section called “ATA/ATAPI device error (non-NCQ / non-CHECK CONDITION)”.
    Controller-specific error completion with error information indicating transmission error.
    On some controllers, command timeout. In this case, there may be a mechanism to determine that the timeout is due to transmission error.
    Unknown/random errors, timeouts and all sorts of weirdities.
    As described above, transmission errors can cause wide variety of symptoms ranging from device ICRC error to random device lockup, and, for many cases, there is no way to tell if an error condition is due to transmission error or not; therefore, it's necessary to employ some kind of heuristic when dealing with errors and timeouts. For example, encountering repetitive ABRT errors for known supported command is likely to indicate ATA bus error.
    Once it's determined that ATA bus errors have possibly occurred, lowering ATA bus transmission speed is one of actions which may alleviate the problem.
    I'd also add; make sure you have good backups when ATA errors are frequent

  • [SOLVED] Kernel 2.6.32 tries to load 2.6.31 modules

    After upgrading the kernel and firmware [also the kernel26 headers] , when I boot errors are now spat out along the lines of : "modprobe Fatal /lib/modules/ARCH2.6.31 does not exist" and there are no wifi, keyboard, usb etc modules loaded.
    So why is it still looking for the old folder? ARCH2.6.32 exists in it's place. Googled to no effect, can anyone help? Something needs to be pointed at the new path but I don't know what. First time a kernel update has ever given me any trouble.
    Cheers
    Last edited by cuervo (2010-01-04 17:16:25)

    and you're absolutely _sure_ that the image you are loading is infact the 2.6.32-kernel?
    At one point (in a previous life) I had a boot-partition (read-only) where I copied from /boot (which was on the root filesystem) after a kernel upgrade (silly, I know - these days I chainload instead). If I forgot to copy the new kernel/initrd, then I would still boot my old one but the modules (obviously) were nowhere to be found ....

Maybe you are looking for

  • How to save a datas from serial port?

    How to save a datas from serial port?

  • Illustrating a stack of an unknown size in a JScrollPane

    I designed a maze generation/traversal program and I want to show what happens to the stack in the depth first algorithms that I used. I have a JFrame with a JPanel containing the maze and to the right of the JPanel is a JScrollPane to hold the stack

  • Thumbnails in cover flow view are blurry

    For some reason my main user account refuses to refresh its thumbnails in the Finder's Cover Flow view. The same file views fine in my Test user account. Merely copying/moving the file to a different folder or burning it the file directly to a cd doe

  • Which version lightroom for non-intel mac 10.5.8

    Which Version of Lightroom works best with a (non-Intel) Mac 10.5.8?  Thank You.

  • Proxy scenario issue

    Folks, This is a simple scenario: soap > PI > Proxy  (Sync) now here is the deal, when pi receives the response from SAP, in the inbound message we are able to see only 1 row in the response. now when a stand alone test is done @ sap , both from SPRO