<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>
<!DOCTYPE bugzilla SYSTEM "https://bugs.webkit.org/page.cgi?id=bugzilla.dtd">

<bugzilla version="5.0.4.1"
          urlbase="https://bugs.webkit.org/"
          
          maintainer="admin@webkit.org"
>

    <bug>
          <bug_id>122613</bug_id>
          
          <creation_ts>2013-10-10 12:10:11 -0700</creation_ts>
          <short_desc>[CSS Shapes] Improve the performance of image valued shapes with large shape-margins</short_desc>
          <delta_ts>2013-10-17 07:44:12 -0700</delta_ts>
          <reporter_accessible>1</reporter_accessible>
          <cclist_accessible>1</cclist_accessible>
          <classification_id>1</classification_id>
          <classification>Unclassified</classification>
          <product>WebKit</product>
          <component>CSS</component>
          <version>528+ (Nightly build)</version>
          <rep_platform>Unspecified</rep_platform>
          <op_sys>Unspecified</op_sys>
          <bug_status>RESOLVED</bug_status>
          <resolution>FIXED</resolution>
          
          
          <bug_file_loc></bug_file_loc>
          <status_whiteboard></status_whiteboard>
          <keywords></keywords>
          <priority>P2</priority>
          <bug_severity>Normal</bug_severity>
          <target_milestone>---</target_milestone>
          
          <blocked>116348</blocked>
          <everconfirmed>1</everconfirmed>
          <reporter name="Hans Muller">giles_joplin</reporter>
          <assigned_to name="Hans Muller">giles_joplin</assigned_to>
          <cc>commit-queue</cc>
    
    <cc>esprehn+autocc</cc>
    
    <cc>glenn</cc>
    
    <cc>kling</cc>
    
    <cc>kondapallykalyan</cc>
          

      

      

      

          <comment_sort_order>oldest_to_newest</comment_sort_order>  
          <long_desc isprivate="0" >
    <commentid>938473</commentid>
    <comment_count>0</comment_count>
    <who name="Hans Muller">giles_joplin</who>
    <bug_when>2013-10-10 12:10:11 -0700</bug_when>
    <thetext>TBD</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>938561</commentid>
    <comment_count>1</comment_count>
    <who name="Hans Muller">giles_joplin</who>
    <bug_when>2013-10-10 15:01:47 -0700</bug_when>
    <thetext>The horizontal runs of pixels that are defined by shape-image-threshold for an image valued shape are stored internally as lists of x1,x2 &quot;intervals&quot; (see ShapeInterval.h). The internal representation of the per-row lists of intervals is called RasterShapeIntervals. An image valued shape is represented a RasterShape instance which has one RasterShapeIntervals object for its intrinsic above-threshold shape, another for its (intrinsic) shape after being expanded by shape-margin, and another after being contracted by shape-padding. The shape-padding and shape-margin RasterShapeIntervals objects are created as needed.

To create the shape-margin RasterShapeIntervals object we effectively replace each interval in the intrinsic shape with a filled rounded rectangle. The interval defines the horizontal axis of the rounded rectangle, it&apos;s width and height are expanded by shape-margin, and its corner radius is the shape-margin. The union of all the rounded rectangles, one per intrinsic shape interval, defines the shape-margin shape.  The current implementation computes the shape-margin RasterShapeIntervals object in the most straightforward way possible. The intervals for each rounded rectangle are progressively unioned together, for each interval in the intrinsic shape.

Currently only the leading or trailing edge of the shape-margin object is used to compute the layout of lines. This is because shape-margin expands the shape specified with shape-outside, and shape-outside is only used with left/right floats (all this per the &quot;CSS Shapes Module Level 1 spec&quot;, see http://dev.w3.org/csswg/css-shapes-1/). The implication of this for the implementation is that we replace each row&apos;s interval list from the intrinsic shape with a single interval defined by the first interval&apos;s X1 coordinate and the last interval&apos;s X2 coordinate. So the process of computing the shape-margin shape can be reduced to computing the union of one rounded rectangle per image row. The rounded rectangles themselves are represented by a list of intervals, so the entire process is just computing the union of pairs of intervals.

To make the process more efficient, particularly for large shape-margin values, we can skip rounded rectangle intervals whose contribution to the result will be redundant. The attached figure should clarify this.</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>939990</commentid>
    <comment_count>2</comment_count>
      <attachid>214268</attachid>
    <who name="Hans Muller">giles_joplin</who>
    <bug_when>2013-10-15 09:21:52 -0700</bug_when>
    <thetext>Created attachment 214268
Figure 1 - overall margin boundary process</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>939997</commentid>
    <comment_count>3</comment_count>
      <attachid>214270</attachid>
    <who name="Hans Muller">giles_joplin</who>
    <bug_when>2013-10-15 09:33:53 -0700</bug_when>
    <thetext>Created attachment 214270
Figure 2 - Contribution of one interval to the overall margin boundary</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>939999</commentid>
    <comment_count>4</comment_count>
      <attachid>214271</attachid>
    <who name="Hans Muller">giles_joplin</who>
    <bug_when>2013-10-15 09:35:02 -0700</bug_when>
    <thetext>Created attachment 214271
Figure 3 - Opportunity for optimization: overlapping margin boundary contributions</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>940182</commentid>
    <comment_count>5</comment_count>
      <attachid>214316</attachid>
    <who name="Hans Muller">giles_joplin</who>
    <bug_when>2013-10-15 16:15:34 -0700</bug_when>
    <thetext>Created attachment 214316
Patch

The cost of computing the shape-margin boundary of an image-valued shape-outside is now proportional to (2 * shape-margin + image.height) rather than (2 * shape-margin * image.height). The performance improvement comes from skipping sequences of rounded-rectangle intervals that will not contribute to the final result. Each non-empty row in the original image contributes one rounded-rectangle whose corner radius is shape-margin, height is 2 * shape-margin, and width is 2 * shape-margin plus the width of the limits of the intervals on the row.

Renamed private method RasterShape::getIntervals() to intervalsAt() to be a little more consistent with WebKit naming conventions.

There are no new tests since is just an internal refactoring.</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>940668</commentid>
    <comment_count>6</comment_count>
      <attachid>214316</attachid>
    <who name="Andreas Kling">kling</who>
    <bug_when>2013-10-17 00:19:54 -0700</bug_when>
    <thetext>Comment on attachment 214316
Patch

r=me. Love the detailed write-up :)</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>940775</commentid>
    <comment_count>7</comment_count>
      <attachid>214316</attachid>
    <who name="WebKit Commit Bot">commit-queue</who>
    <bug_when>2013-10-17 07:44:10 -0700</bug_when>
    <thetext>Comment on attachment 214316
Patch

Clearing flags on attachment: 214316

Committed r157574: &lt;http://trac.webkit.org/changeset/157574&gt;</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>940776</commentid>
    <comment_count>8</comment_count>
    <who name="WebKit Commit Bot">commit-queue</who>
    <bug_when>2013-10-17 07:44:12 -0700</bug_when>
    <thetext>All reviewed patches have been landed.  Closing bug.</thetext>
  </long_desc>
      
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>214268</attachid>
            <date>2013-10-15 09:21:52 -0700</date>
            <delta_ts>2013-10-15 09:21:52 -0700</delta_ts>
            <desc>Figure 1 - overall margin boundary process</desc>
            <filename>margin-boundary-process.png</filename>
            <type>image/png</type>
            <size>41389</size>
            <attacher name="Hans Muller">giles_joplin</attacher>
            
              <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAw0AAADHCAIAAADUGCj4AAAKt2lDQ1BJQ0MgUHJvZmlsZQAASA2t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</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>214270</attachid>
            <date>2013-10-15 09:33:53 -0700</date>
            <delta_ts>2013-10-15 09:33:53 -0700</delta_ts>
            <desc>Figure 2 - Contribution of one interval to the overall margin boundary</desc>
            <filename>margin-boundary-one-interval.png</filename>
            <type>image/png</type>
            <size>28342</size>
            <attacher name="Hans Muller">giles_joplin</attacher>
            
              <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAhwAAAD1CAIAAACUSLtIAAAKt2lDQ1BJQ0MgUHJvZmlsZQAASA2t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</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>214271</attachid>
            <date>2013-10-15 09:35:02 -0700</date>
            <delta_ts>2013-10-15 09:35:02 -0700</delta_ts>
            <desc>Figure 3 - Opportunity for optimization: overlapping margin boundary contributions</desc>
            <filename>margin-boundary-interval-overlap.png</filename>
            <type>image/png</type>
            <size>38539</size>
            <attacher name="Hans Muller">giles_joplin</attacher>
            
              <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAfkAAAF4CAIAAADYOBfOAAAKt2lDQ1BJQ0MgUHJvZmlsZQAASA2t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</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="1"
              isprivate="0"
          >
            <attachid>214316</attachid>
            <date>2013-10-15 16:15:34 -0700</date>
            <delta_ts>2013-10-17 07:44:10 -0700</delta_ts>
            <desc>Patch</desc>
            <filename>tmp.patch</filename>
            <type>text/plain</type>
            <size>9066</size>
            <attacher name="Hans Muller">giles_joplin</attacher>
            
              <data encoding="base64">ZGlmZiAtLWdpdCBhL1NvdXJjZS9XZWJDb3JlL0NoYW5nZUxvZyBiL1NvdXJjZS9XZWJDb3JlL0No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</data>

          </attachment>
      

    </bug>

</bugzilla>