<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>
<!DOCTYPE bugzilla SYSTEM "http://memecode.com/bugzilla/bugzilla.dtd">

<bugzilla version="2.22.7"
          urlbase="http://memecode.com/bugzilla/"
          maintainer="fret@memecode.com"
>

    <bug>
          <bug_id>175</bug_id>
          
          <creation_ts>2008-01-12 19:18</creation_ts>
          <short_desc>v 1.08 script function broken</short_desc>
          <delta_ts>2008-01-14 09:50:55</delta_ts>
          <reporter_accessible>1</reporter_accessible>
          <cclist_accessible>1</cclist_accessible>
          <classification_id>1</classification_id>
          <classification>Unclassified</classification>
          <product>i.Mage</product>
          <component>User Interface</component>
          <version>1.08</version>
          <rep_platform>PC</rep_platform>
          <op_sys>Windows 2000</op_sys>
          <bug_status>RESOLVED</bug_status>
          <resolution>FIXED</resolution>
          
          
          
          <priority>P1</priority>
          <bug_severity>major</bug_severity>
          <target_milestone>---</target_milestone>
          
          
          
          <everconfirmed>1</everconfirmed>
          <reporter>exosceleton@hotmail.com</reporter>
          <assigned_to>fret@memecode.com</assigned_to>
          

      

      
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-12 19:18:58</bug_when>
            <thetext>i needed to change a menu image for a website so i ran the script i had saved. Apparently i upgraded to 1.08 since the creation of the original, but the result was not what i expected. an image is worth a thousand words so i suggest you just run in 1.06 and in 1.08:

////////////////////////////////////////////////////////

w = 144;
h = 32;
edge = 3;
r = 7;

create (2*w+6, 2*h+6, 32);

newpath (q);
rgb( 255, 255,255);
rect (q,0,0,2*w+6,2*h+6);
fillpath (q);



// Border + text in one render
newpath (p);
roundrect (p, 0, 0, w, h, r);
roundrect (p, edge, edge, w - edge, h - edge, r - edge);
font( Verdana, 17, &quot;&quot;);
text( p,5, 24, &quot;Contactinfo&quot;);
lineargradient (0, 0, 0, h);
addstop( 0, 100, 100, 100, 255);
addstop( 1, 200, 200, 200, 255);
fillpath (p);

// Border + text in one render
newpath (q);
roundrect (q, 0, h+6, w, 2*h+6, r);
roundrect (q, edge, h+6+edge, w - edge, 2*h+6 - edge, r - edge);
font( Verdana, 17, &quot;&quot;);
text( q,3, 24+h+6, &quot;Foto&apos;s&quot;);
lineargradient (0, h+6, 0, 2*h+6);
addstop( 0, 200, 200, 200, 255);
addstop( 1, 100, 100, 100, 255);
fillpath (q);

// Border + text in one render
newpath (t);
roundrect (t, w+6, 0, w+30, 12, r);
roundrect (t, w+6+edge, edge, w+30 - edge, 12 - edge, r - edge);
rgb(100,100,100);
fillpath (t);

// Border + text in one render
newpath (y);
roundrect (y, w+6, h+6, w+30, h+6+12, r);
roundrect (y, w+6+edge,h+6+ edge, w+30 - edge, h+6+12 - edge, r - edge);
rgb(200,200,200);
fillpath (y);</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>fret@memecode.com</who>
            <bug_when>2008-01-13 02:15:09</bug_when>
            <thetext>This is fixed for the next build. The text positions aren&apos;t exactly the same as before so you&apos;ll need to adjust your script a little. The positioning of things of text changed to improve it&apos;s accuracy, and so you were previously adjusting for that error in your script. I&apos;ll try and make a release soon.

The problem was that text applies a transform to the path... so if you use a single peice of text per path you don&apos;t see that issue.</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-14 06:31:03</bug_when>
            <thetext>but there is only one text statement per newpath / fillpath group?</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>fret@memecode.com</who>
            <bug_when>2008-01-14 06:35:00</bug_when>
            <thetext>So it&apos;s interfering with the other shapes in the same path... it translates them. Nevermind, I&apos;ll put a fix online tonight.</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-14 06:39:46</bug_when>
            <thetext>Oh, i see, ONLY the one text statement per path. Got you.

If you get round to it, i&apos;ll understand if you&apos;ve got (scribe)priorities.</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>fret@memecode.com</who>
            <bug_when>2008-01-14 06:57:20</bug_when>
            <thetext>Try this:
http://www.memecode.com/data/image-win32-v109.exe

You&apos;ll have to adjust your script... but it should be ok after that.</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-14 07:04:59</bug_when>
            <thetext>looks great, 5 pix more in height coord and everything looks good again, even the gradient.

Thanks fret!</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-14 07:11:29</bug_when>
            <thetext>Created an attachment (id=39)
result

This is the image i was was working on.
I started out trying to code the entire thing, but have not succeeded in creating the correct curves yet. There is a lot of cut and paste work in there now. 
I&apos;ll post the examples forum if i get anywhere usefull.</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>fret@memecode.com</who>
            <bug_when>2008-01-14 09:25:45</bug_when>
            <thetext>Looks like you could use a loop over the middle bits, once you got one right, you should be able to get the rest in one hit.

Maybe it&apos;d be useful to be able to import paths from file, e.g. create a path in InkScape and then import it into a i.Mage path object using an import function and use it in your drawing.... hmmmm sound good?</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-14 09:35:50</bug_when>
            <thetext>would that import to the drawing, or to the scribe script function?</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>fret@memecode.com</who>
            <bug_when>2008-01-14 09:43:49</bug_when>
            <thetext>I guess I could do both, but initially I&apos;d just import a path into a script variable and let you play with it in script.</thetext>
          </long_desc>
          <long_desc isprivate="0">
            <who>exosceleton@hotmail.com</who>
            <bug_when>2008-01-14 09:50:55</bug_when>
            <thetext>that makes the most sense</thetext>
          </long_desc>
      
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>39</attachid>
            <date>2008-01-14 07:11</date>
            <desc>result</desc>
            <filename>menu_nl.png</filename>
            <type>image/x-png</type>
            <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAJAAAAHgCAIAAADFcXOaAAAgAElEQVR4nO19f3AT1dr/aTa/SkOa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</data>        

          </attachment>
    </bug>

</bugzilla>