Delete trace-info.json.

tools/perf/benchmarks/kraken.py

Index: tools/perf/benchmarks/kraken.py
diff --git a/tools/perf/benchmarks/kraken.py b/tools/perf/benchmarks/kraken.py
index 8b4559ed924c78863a46c73a2708ca7713599d54..c30b8b8eca38b8e35170258ce166823de38817c1 100644
--- a/tools/perf/benchmarks/kraken.py
+++ b/tools/perf/benchmarks/kraken.py
@@ -13,6 +13,53 @@ from telemetry.page import page_set
 from telemetry.value import list_of_scalar_values
 from telemetry.value import scalar
 
+DESCRIPTIONS = {
+    'ai-astar':
+        'This benchmark uses the [A* search algorithm]'
+        '(http://en.wikipedia.org/wiki/A*_search_algorithm) to automatically '
+        'plot an efficient path between two points, in the presence of '
+        'obstacles. Adapted from code by [Brian Gringstead]'
+        '(http://www.briangrinstead.com/blog/astar-search-algorithm-in-'
+        'javascript).',
+    'audio-beat-detection':
+        'This benchmark performs [beat detection]'
+        '(http://en.wikipedia.org/wiki/Beat_detection) on an Audio sample '
+        'using [code](http://beatdetektor.svn.sourceforge.net/viewvc'
+        '/beatdetektor/trunk/core/js/beatdetektor.js?revision=18&view=markup) '
+        'from [BeatDetektor](http://www.cubicproductions.com/index.php'
+        '?option=com_content&view=article&id=67&Itemid=82) and '
+        '[DSP.js](http://github.com/corbanbrook/dsp.js/).',
+    'audio-dft':
+        'This benchmark performs a [Discrete Fourier Transform]'
+        '(http://en.wikipedia.org/wiki/Discrete_Fourier_transform) on an '
+        'Audio sample using code from [DSP.js]'
+        '(http://github.com/corbanbrook/dsp.js).',
+    'audio-fft':
+        'This benchmark performs a [Fast Fourier Transform]'
+        '(http://en.wikipedia.org/wiki/Fast_Fourier_transform) on an Audio '
+        'sample using code from [DSP.js]'
+        '(http://github.com/corbanbrook/dsp.js/).',
+    'audio-oscillator':
+        'This benchmark generates a soundwave using code from [DSP.js]'
+        '(http://github.com/corbanbrook/dsp.js/).',
+    'imaging-darkroom':
+        'This benchmark performs a variety of photo manipulations such as '
+        'Fill, Brightness, Contrast, Saturation, and Temperature.',
+    'imaging-desaturate':
+        'This benchmark [desaturates]'
+        '(http://en.wikipedia.org/wiki/Colorfulness) a photo using code from '
+        '[Pixastic](http://www.pixastic.com/).',
+    'imaging-gaussian-blur':
+        'This benchmark performs a [Gaussian blur]'
+        '(http://en.wikipedia.org/wiki/Gaussian_blur) on a photo.',
+    'json-parse-financial':
+        'This benchmark parses [JSON](http://www.json.org) records.',
+    'json-stringify-tinderbox':
+        'This benchmark serializes [Tinderbox]'
+        '(http://tests.themasta.com/tinderboxpushlog/?tree=Firefox) build '
+        'data to [JSON](http://www.json.org).',
+}
+
 
 def _Mean(l):
   return float(sum(l)) / len(l) if len(l) > 0 else 0.0
@@ -41,22 +88,26 @@ class _KrakenMeasurement(page_measurement.PageMeasurement):
     self._power_metric.AddResults(tab, results)
 
     js_get_results = """
-var formElement = document.getElementsByTagName("input")[0];
-decodeURIComponent(formElement.value.split("?")[1]);
-"""
+        var formElement = document.getElementsByTagName("input")[0];
+        decodeURIComponent(formElement.value.split("?")[1]);
+        """
     result_dict = eval(tab.EvaluateJavaScript(js_get_results))
     total = 0
     for key in result_dict:
       if key == 'v':
         continue
       results.AddValue(list_of_scalar_values.ListOfScalarValues(
-          results.current_page, key, 'ms', result_dict[key], important=False))
+          results.current_page, key, 'ms', result_dict[key], important=False,
+          description=DESCRIPTIONS.get(key)))
       total += _Mean(result_dict[key])
 
     # TODO(tonyg/nednguyen): This measurement shouldn't calculate Total. The
     # results system should do that for us.
     results.AddValue(scalar.ScalarValue(
-        results.current_page, 'Total', 'ms', total))
+        results.current_page, 'Total', 'ms', total,
+        description='Total of the means of the results for each type '
+                    'of benchmark in [Mozilla\'s Kraken JavaScript benchmark]'
+                    '(http://krakenbenchmark.mozilla.org/)'))
 
 
 class Kraken(benchmark.Benchmark):