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authorArseny Kapoulkine <arseny.kapoulkine@gmail.com>2014-12-11 21:08:20 -0800
committerArseny Kapoulkine <arseny.kapoulkine@gmail.com>2014-12-11 21:08:20 -0800
commitcdf0836b8fd08497766015b174d51474cfe9dda3 (patch)
tree8e1860a20b27374c3d40e16451eea4f8a3a73546
parentfd761d5b1c4299302061fbab2835804e74e3bb55 (diff)
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@@ -17,7 +17,7 @@ All tests were performed with Microsoft Visual Studio 2015, with all optimizatio
Benchmarks are performed on nine different test files; all of them are in 1-20 Mb range and display a different range of markup/content ratios - e.g. there's a COLLADA file that has little markup, there's a book file that has almost no markup, there are some files where there is a lot of markup and almost no content, etc. The test files include a 10 Mb [XMark](http://www.xml-benchmark.org) test file.
-Due to a number of test files all results are normalized by pugixml results - the ratio between time or memory for a particular parser to pugixml is displayed (so if it's 1 or more then the parser is slower or takes more memory than pugixml). Note that the horizontal axis is using logarithmic scale.
+Due to a number of test files all results are normalized using pugixml results as a baseline - the ratio between time or memory for a particular parser to pugixml is displayed (so if it's 1 or more then the parser is slower or takes more memory than pugixml). Note that the horizontal axis is using logarithmic scale.
Benchmark results are visualized using [Google Charts](https://developers.google.com/chart/) and require JavaScript and SVG support to render.