[asterisk-commits] mnicholson: branch mnicholson/failure-message r2426 - /asterisk/team/mnichols...

SVN commits to the Asterisk project asterisk-commits at lists.digium.com
Fri Sep 23 13:39:22 CDT 2011


Author: mnicholson
Date: Fri Sep 23 13:39:18 2011
New Revision: 2426

URL: http://svnview.digium.com/svn/testsuite?view=rev&rev=2426
Log:
test with a large cdata with a long string

Modified:
    asterisk/team/mnicholson/failure-message/results-template.xml

Modified: asterisk/team/mnicholson/failure-message/results-template.xml
URL: http://svnview.digium.com/svn/testsuite/asterisk/team/mnicholson/failure-message/results-template.xml?view=diff&rev=2426&r1=2425&r2=2426
==============================================================================
--- asterisk/team/mnicholson/failure-message/results-template.xml (original)
+++ asterisk/team/mnicholson/failure-message/results-template.xml Fri Sep 23 13:39:18 2011
@@ -1,5 +1,5 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<testsuite errors="0" tests="%d" time="1.0" failures="4" name="xml test">
+<testsuite errors="0" tests="%d" time="1.0" failures="5" name="xml test">
 	<testcase time="0.0" name="passing test"/>
 	<testcase time="1.0" name="failing test1">
 		<failure/>
@@ -25,4 +25,1013 @@
 That should do it.
 		</failure>
 	</testcase>
+	<testcase time="1.0" name="failing test5">
+		<failure>
+<![CDATA[CDATA test: let's put a bunch of data in here and see if it still parses
+& ^ % $ @ <> < >> &amp;
+]] [[ * _ " " " ' ' ' " ' " ' " '
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+and a really really long line. No seriously, this line is going to be long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long long. See, told ya.
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
+data data data data, a whole bunch of data data data data data data data
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