| /external/chromium-trace/catapult/experimental/heatmap/ |
| math.js | 13 function percentile(values, percentile) { function
14 var cutoff = values.length * percentile;
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| calculate.js | 53 this.min = percentile(values, OUTLIER_THRESHOLD / 2);
54 this.max = percentile(values, -OUTLIER_THRESHOLD / 2);
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| renderer.js | 59 this.min = percentile(values, OUTLIER_THRESHOLD / 2);
60 this.max = percentile(values, -OUTLIER_THRESHOLD / 2);
106 var cutoff = percentile(counts, 0.9);
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| /external/chromium-trace/catapult/common/lab/ |
| commits.py | 35 def Percentile(data, percentile):
36 """Find a percentile of a list of values.
40 percentile: The percentile to look up, from 0.0 to 1.0.
43 The percentile.
51 k = (len(data) - 1) * percentile
91 percentile = Percentile(commit_durations, p)
92 print '%3d%% commit duration:' % (p * 100), '%6ds' % percentile
[all...] |
| /external/autotest/client/bin/ |
| fio_util.py | 54 h_title = { True: 'Percentile', False: 'Time (s)' }
71 def _parse_log_file(cls, file_name, pass_index, pass_count, percentile):
83 @param percentile: flag to use percentile as key instead of timestamp
97 # Sort & calculate percentile
98 if percentile:
115 def _gen_data_col(cls, pass_list, percentile):
123 @param percentile: flag to use percentile as key instead of timestamp
127 if percentile
[all...] |
| /external/chromium-trace/catapult/tracing/tracing/base/ |
| piecewise_linear_function_test.html | 19 assert.strictEqual(f.percentile(0.5), 0);
30 assert.closeTo(f.percentile(1.0 / 3.0), 0.0, 1e-6);
31 assert.closeTo(f.percentile(2.0 / 3.0), 0.5, 1e-6);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/rank/ |
| Percentile.java | 28 * Provides percentile computation.
36 * <code>0 < p <= 100</code> be the desired percentile.</li>
39 * <li>Compute the estimated percentile position
56 * (50th percentile) of
59 * Since percentile estimation usually involves interpolation between array
63 * Since 2.2, Percentile implementation uses only selection instead of complete
66 * This greatly improves efficiency, both for single percentile and multiple
69 * state from the previous calls. Percentile does this by checking the array reference
82 public class Percentile extends AbstractUnivariateStatistic implements Serializable {
93 /** Determines what percentile is computed when evaluate() is activate
[all...] |
| Median.java | 23 * Returns the median of the available values. This is the same as the 50th percentile.
24 * See {@link Percentile} for a description of the algorithm used.
33 public class Median extends Percentile implements Serializable {
|
| /external/chromium-trace/catapult/tracing/tracing/ui/extras/chrome/cc/ |
| picture_ops_chart_view.css | 14 * /deep/ tr-ui-e-chrome-cc-picture-ops-chart-view > .use-percentile-scale {
|
| /art/runtime/base/ |
| histogram_test.cc | 27 // Percentile PerValue
34 // PerValue = hist->PercentileVal(0.50); finds the 50th percentile(median).
66 TEST(Histtest, Percentile) {
67 std::unique_ptr<Histogram<uint64_t>> hist(new Histogram<uint64_t>("Percentile", 5));
89 PerValue = hist->Percentile(0.50, data);
121 PerValue = hist->Percentile(0.50, data);
164 PerValue = hist->Percentile(0.50, data);
205 PerValue = hist->Percentile(0.50, data);
238 per_995 = hist->Percentile(0.995, data);
247 per_005 = hist->Percentile(0.005, data)
[all...] |
| /external/caliper/caliper/src/main/java/com/google/caliper/runner/ |
| ConsoleOutput.java | 37 import org.apache.commons.math.stat.descriptive.rank.Percentile;
119 Percentile percentile = new Percentile(); local
120 percentile.setData(weightedValues);
126 descriptiveStatistics.getMin(), percentile.evaluate(25),
127 percentile.evaluate(50), descriptiveStatistics.getMean(),
128 percentile.evaluate(75), descriptiveStatistics.getMax());
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| /packages/inputmethods/LatinIME/java/res/values/ |
| donottranslate-debug-settings.xml | 36 <!-- Title of the settings for key popup show up animation start X-scale (in percentile) [CHAR LIMIT=35] -->
38 <!-- Title of the settings for key popup show up animation start Y-scale (in percentile) [CHAR LIMIT=35] -->
40 <!-- Title of the settings for key popup dismiss animation end X-scale (in percentile) [CHAR LIMIT=35] -->
42 <!-- Title of the settings for key popup dismiss animation end Y-scale (in percentile) [CHAR LIMIT=35] -->
|
| /cts/suite/audio_quality/test_description/processing/ |
| playback_thd.py | 26 # THD pass level in percentile (double)
27 # Output: THD device (double) in percentile
|
| recording_thd.py | 26 # THD pass level in percentile (double)
27 # Output:THD host (double), THD device (double) in percentile
|
| /external/chromium-trace/catapult/telemetry/telemetry/util/ |
| statistics_unittest.py | 167 # The 50th percentile is the median value.
168 self.assertEquals(3, statistics.Percentile([4, 5, 1, 3, 2], 50))
169 self.assertEquals(2.5, statistics.Percentile([5, 1, 3, 2], 50))
171 self.assertEquals(0, statistics.Percentile([], 50))
173 self.assertEquals(1, statistics.Percentile([2, 1, 5, 4, 3], 5))
175 self.assertEquals(5, statistics.Percentile([5, 2, 4, 1, 3], 95))
177 # from <http://en.wikipedia.org/wiki/Percentile>:
178 self.assertEquals(27.5, statistics.Percentile([15, 20, 35, 40, 50], 40))
|
| statistics.py | 295 return Percentile(values, 50)
298 def Percentile(values, percentile):
302 percentile for this set of values. When the percentage doesn't exactly
303 match a rank in the list of values, the percentile is computed using linear
308 percentile: A number between 0 and 100.
311 The Nth percentile for the list of values, where N is the given percentage.
317 percentile /= 100.0
318 if percentile <= 0.5 / n:
320 elif percentile >= (n - 0.5) / n
[all...] |
| /external/opencv3/modules/features2d/src/kaze/ |
| AKAZEConfig.h | 59 float kcontrast_percentile; ///< Percentile level for the contrast factor
|
| /external/chromium-trace/catapult/tracing/tracing/metrics/v8/ |
| utils_test.html | 58 percentile: function(percent) {
142 assert.closeTo(expected.percentile(0.5), actual.percentile(0.5), 1e-3);
143 assert.closeTo(expected.percentile(0.9), actual.percentile(0.9), 1e-3);
|
| /external/v8/tools/ |
| eval_gc_nvp.py | 109 for percentile in self.percentiles:
110 index = int(ceil((len(self.values) - 1) * percentile / 100))
111 ret.append(" {0}%: {1}".format(percentile, sorted_values[index]))
191 for percentile in args.percentiles.split(','):
193 percentiles.append(float(percentile))
|
| /platform_testing/libraries/aupt-lib/src/android/support/test/aupt/ |
| JankStat.java | 53 Pattern.compile("\\s*50th percentile: (\\d+)ms"), 1),
56 Pattern.compile("\\s*90th percentile: (\\d+)ms"), 1),
59 Pattern.compile("\\s*95th percentile: (\\d+)ms"), 1),
62 Pattern.compile("\\s*99th percentile: (\\d+)ms"), 1),
205 * Final ##th percentile = weighted average of ##th, weight by total frames
|
| /external/chromium-trace/catapult/tracing/tracing/value/ |
| histogram.html | 132 percentile: []
277 * Compute an approximation of percentile based on the counts in the bins.
278 * If the real percentile lies within |this.range| then the result of
279 * the function will deviate from the real percentile by at most
281 * from which the real percentile would be calculated lie.
282 * If the real percentile is outside |this.range| then the function
395 * array field |percentile|.
396 * Each percentile should be a number between 0.0 and 1.0.
410 * Each percentile 0.x produces pct_0x0.
411 * Each percentile 0.xx produces pct_0xx
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
| StatUtils.java | 28 import org.apache.commons.math.stat.descriptive.rank.Percentile;
66 /** percentile */
67 private static final Percentile PERCENTILE = new Percentile();
498 * Returns an estimate of the <code>p</code>th percentile of the values
511 * See {@link org.apache.commons.math.stat.descriptive.rank.Percentile} for
512 * a description of the percentile estimation algorithm used.</p>
515 * @param p the percentile value to compute
516 * @return the percentile value or Double.NaN if the array is empt
520 public static double percentile(final double[] values, final double p) { method in class:StatUtils
551 public static double percentile(final double[] values, final int begin, method in class:StatUtils
[all...] |
| /cts/suite/audio_quality/test_description/ |
| dut_playback_thd.xml | 33 <!-- input: host record, signal frequency in Hz, THD for pass in percentile, output: THD calculated -->
|
| /system/extras/tests/workloads/ |
| pwrsummary.sh | 58 units="FPS from app point of view: 1/(90th percentile render time)";;
93 # 90th percentile: 23ms
94 # 95th percentile: 27ms
95 # 99th percentile: 32ms
|
| /external/chromium-trace/catapult/experimental/ |
| plot_bisect_results.py | 98 medians = tuple(numpy.percentile(values, 50) for values in values_per_commit)
118 axis.plot(numpy.percentile(values, tuple(p * 100 for p in _PERCENTILES)),
125 medians = tuple(numpy.percentile(values, 50) for values in values_per_commit)
|
