<?xml version="1.0" encoding="UTF-8" ?>

<bugzilla version="5.2"
          urlbase="https://bugzilla.altlinux.org/"
          
          maintainer="jenya@basealt.ru"
>

    <bug>
          <bug_id>29331</bug_id>
          
          <creation_ts>2013-09-07 14:27:42 +0400</creation_ts>
          <short_desc>сломалась заливка объектов (на уровне libX11?)</short_desc>
          <delta_ts>2018-07-05 11:13:16 +0300</delta_ts>
          <reporter_accessible>1</reporter_accessible>
          <cclist_accessible>1</cclist_accessible>
          <classification_id>4</classification_id>
          <classification>Development</classification>
          <product>Sisyphus</product>
          <component>libX11-devel</component>
          <version>unstable</version>
          <rep_platform>all</rep_platform>
          <op_sys>Linux</op_sys>
          <bug_status>NEW</bug_status>
          <resolution></resolution>
          
          
          <bug_file_loc></bug_file_loc>
          <status_whiteboard></status_whiteboard>
          <keywords></keywords>
          <priority>P3</priority>
          <bug_severity>normal</bug_severity>
          <target_milestone>---</target_milestone>
          
          
          <everconfirmed>1</everconfirmed>
          <reporter name="Vladislav Zavjalov">slazav</reporter>
          <assigned_to name="Valery Inozemtsev">shrek</assigned_to>
          <cc>lav</cc>
    
    <cc>shrek</cc>
    
    <cc>stanv</cc>
          
          <qa_contact>qa-sisyphus</qa_contact>

      

      

      

          <comment_sort_order>oldest_to_newest</comment_sort_order>  
          <long_desc isprivate="0" >
    <commentid>142508</commentid>
    <comment_count>0</comment_count>
      <attachid>5928</attachid>
    <who name="Vladislav Zavjalov">slazav</who>
    <bug_when>2013-09-07 14:27:42 +0400</bug_when>
    <thetext>Created attachment 5928
белые прямоугольники

Вешаю на xfig, чтоб было напоминание для себя поразбираться. Хотя проблема, как мне кажется, где-то в недрах X. xfig в момент появления проблемы не обновлялся.

Любой объект с непустой заливкой заполнен каким-то мусором (см. приложенную картинку)

# rpm -qa | grep libX
libXfixes-5.0.1-alt1
libXaw3d-1.6.2-alt1
libXxf86dga-1.1.4-alt1
libXScrnSaver-1.2.2-alt1
libXxf86vm-devel-1.1.3-alt1
libX11-locales-1.6.1-alt1
libXevie-devel-1.0.3-alt1.qa1
libXpm-devel-3.5.10-alt1
libXrandr-devel-1.4.1-alt1
libXvMC-1.0.8-alt1
libXi-devel-1.7.2-alt1
libXevie-1.0.3-alt1.qa1
libXau-1.0.8-alt1
libXdamage-devel-1.1.3-alt4
libXfont-1.4.6-alt1
libXmu-1.1.1-alt1
libXcomposite-devel-0.4.3-alt3
libX11-1.6.1-alt1
libXaw3d-devel-1.6.2-alt1
libXrender-0.9.8-alt1
libXcursor-devel-1.1.14-alt1
libXxf86dga-devel-1.1.4-alt1
libXtst-1.2.2-alt1
libXt-1.1.4-alt1
libXvMC-devel-1.0.8-alt1
libXaw-1.0.11-alt1
libXdmcp-1.1.1-alt1
libXpm-3.5.10-alt1
libXrandr-1.4.1-alt1
libXv-devel-1.0.9-alt1
libXdmcp-devel-1.1.1-alt1
libXtst-devel-1.2.2-alt1
libXScrnSaver-devel-1.2.2-alt1
libXft-2.3.1-alt1
libXv-1.0.9-alt1
libXcursor-1.1.14-alt1
libXdamage-1.1.3-alt4
libXfont-devel-1.4.6-alt1
libXft-devel-2.3.1-alt1
libXau-devel-1.0.8-alt1
libXmu-devel-1.1.1-alt1
libXinerama-devel-1.1.3-alt1
libXp-1.0.2-alt1
libXext-devel-1.3.2-alt1
libXcomposite-0.4.3-alt3
libXrender-devel-0.9.8-alt1
libXt-devel-1.1.4-alt1
libXinerama-1.1.3-alt1
libXaw-devel-1.0.11-alt1
libX11-devel-1.6.1-alt1
libXres-devel-1.0.7-alt1
libXfixes-devel-5.0.1-alt1
libXi-1.7.2-alt1
libXres-1.0.7-alt1
libXext-1.3.2-alt1
libXxf86vm-1.1.3-alt1

# rpm -qa | grep xfig
xfig-3.2.5b-alt8

# grep Driver /etc/X11/xorg.conf  
        Driver &quot;intel&quot;</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>143738</commentid>
    <comment_count>1</comment_count>
      <attachid>5990</attachid>
    <who name="Vladislav Zavjalov">slazav</who>
    <bug_when>2013-11-10 23:55:55 +0400</bug_when>
    <thetext>Created attachment 5990
минимальная программа для воспроизведения ошибки</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>143739</commentid>
    <comment_count>2</comment_count>
    <who name="Vladislav Zavjalov">slazav</who>
    <bug_when>2013-11-11 00:07:37 +0400</bug_when>
    <thetext>Проблема локализована, дело в XSetTSOrigin
Туда передавались какие-то неадекватные большие значения ~10000 для начала координат. Раньше это работало, теперь показывает мусор.

Приложил минимальную программу (C+xlib) для воспроизведения проблемы.

xfig я исправлю, чтоб такого не происходило.
Но, может быть, интересно посмотреть, что именно поменялось в X. Там все-таки получается показ мусора из какой-то чужой памяти, что не очень хорошо.
Так что ошибку перевешиваю.</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>144901</commentid>
    <comment_count>3</comment_count>
    <who name="Andriy Stepanov (stanv)">stanv</who>
    <bug_when>2014-01-30 12:34:48 +0400</bug_when>
    <thetext>Драйвер: intel_drv.so


rpm -q --lastchange xorg-server-1.14.5-alt3
* Чт янв 30 2014 Dmitry V. Levin &lt;ldv@altlinux.org&gt; 2:1.14.5-alt3
- NMU.
- Reverted to 1.14.5-alt1 due to regressions (closes: #29354, #29747).

минимальная программа для воспроизведения ошибки -- воспроизводит ошибку при включенном и отключенном compozite.


Проблема существует дальше</thetext>
  </long_desc>
      
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>5928</attachid>
            <date>2013-09-07 14:27:42 +0400</date>
            <delta_ts>2013-09-07 14:27:42 +0400</delta_ts>
            <desc>белые прямоугольники</desc>
            <filename>patt.png</filename>
            <type>image/png</type>
            <size>16097</size>
            <attacher name="Vladislav Zavjalov">slazav</attacher>
            
              <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAy0AAANZCAMAAAA1fSHjAAAAQlBMVEUAAAAICAgAAP8UPDz/AABQ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</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>5990</attachid>
            <date>2013-11-10 23:55:55 +0400</date>
            <delta_ts>2013-11-10 23:55:55 +0400</delta_ts>
            <desc>минимальная программа для воспроизведения ошибки</desc>
            <filename>test_fill.zip</filename>
            <type>application/x-zip</type>
            <size>1250</size>
            <attacher name="Vladislav Zavjalov">slazav</attacher>
            
              <data encoding="base64">UEsDBBQAAAAIAMquakMJlxYZigMAACEJAAALABwAdGVzdF9maWxsLmNVVAkAA2vkf1J55H9SdXgL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=
</data>

          </attachment>
      

    </bug>

</bugzilla>