| /frameworks/base/apct-tests/perftests/utils/src/android/perftests/utils/ |
| Stats.java | 87 private static long getPercentile(List<Long> values, int percentile) {
88 if (percentile < 0 || percentile > 100) {
90 "invalid percentile " + percentile + ", should be 0-100");
92 int idx = (values.size() - 1) * percentile / 100;
|
| /external/autotest/client/bin/ |
| fio_util.py | 59 h_title = { True: 'Percentile', False: 'Time (s)' }
76 def _parse_log_file(cls, file_name, pass_index, pass_count, percentile):
88 @param percentile: flag to use percentile as key instead of timestamp
102 # Sort & calculate percentile
103 if percentile:
120 def _gen_data_col(cls, pass_list, percentile):
128 @param percentile: flag to use percentile as key instead of timestamp
132 if percentile
[all...] |
| /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/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| sinh_arcsinh_test.py | 131 np.percentile(norm_samps, 0.1, axis=0),
132 np.percentile(sasnorm_samps, 0.1, axis=0))
134 np.percentile(sasnorm_samps, 99.9, axis=0),
135 np.percentile(norm_samps, 99.9, axis=0))
139 np.percentile(sasnorm_samps, q, axis=0),
140 np.percentile(norm_samps, q, axis=0),
143 np.percentile(sasnorm_samps, 100 - q, axis=0),
144 np.percentile(norm_samps, 100 - q, axis=0),
173 np.percentile(sasnorm_samps, 0.1, axis=0),
174 np.percentile(norm_samps, 0.1, axis=0)
[all...] |
| vector_sinh_arcsinh_diag_test.py | 123 np.percentile(norm_samps, 0.1, axis=0),
124 np.percentile(sasnorm_samps, 0.1, axis=0))
126 np.percentile(sasnorm_samps, 99.9, axis=0),
127 np.percentile(norm_samps, 99.9, axis=0))
131 np.percentile(sasnorm_samps, q, axis=0),
132 np.percentile(norm_samps, q, axis=0),
135 np.percentile(sasnorm_samps, 100 - q, axis=0),
136 np.percentile(norm_samps, 100 - q, axis=0),
168 np.percentile(sasnorm_samps, 0.1, axis=0),
169 np.percentile(norm_samps, 0.1, axis=0)
[all...] |
| sample_stats_test.py | 271 expected_percentile = np.percentile(
274 pct = sample_stats.percentile(
282 expected_percentile = np.percentile(
285 pct = sample_stats.percentile(x, q=q, interpolation=self._interpolation)
292 expected_percentile = np.percentile(
296 pct_neg_index = sample_stats.percentile(
298 pct_pos_index = sample_stats.percentile(
308 expected_percentile = np.percentile(
311 pct = sample_stats.percentile(
319 expected_percentile = np.percentile(
[all...] |
| /test/vti/dashboard/src/main/webapp/css/ |
| show_graph.css | 59 .percentile-table {
65 .percentile-table td, th{
|
| /external/lisa/tools/scripts/power/ |
| power_average.py | 65 percentile = np.percentile(df[column], [10, 90])
66 df = df[(df[column] > percentile[0]) & (df[column] < percentile[1])]
|
| /frameworks/base/tests/JankBench/app/src/main/java/com/android/benchmark/results/ |
| UiBenchmarkResult.java | 109 public double getPercentile(int id, int percentile) {
110 if (percentile > 100) percentile = 100;
111 if (percentile < 0) percentile = 0;
114 return mStoredStatistics[metricPos].getPercentile(percentile);
|
| /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());
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| test_data.py | 28 quantiles = np.percentile(
|
| /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))
|
| /frameworks/base/libs/hwui/ |
| ProfileData.cpp | 109 dprintf(fd, "\n50th percentile: %ums", findPercentile(50));
110 dprintf(fd, "\n90th percentile: %ums", findPercentile(90));
111 dprintf(fd, "\n95th percentile: %ums", findPercentile(95));
112 dprintf(fd, "\n99th percentile: %ums", findPercentile(99));
122 uint32_t ProfileData::findPercentile(int percentile) const {
123 int pos = percentile * mTotalFrameCount / 100;
|
| ProfileData.h | 56 uint32_t findPercentile(int percentile) const;
|
| /external/fio/tools/ |
| fiologparser.py | 109 my90th = percentile(samplevalues, 0.90)
110 my95th = percentile(samplevalues, 0.95)
111 my99th = percentile(samplevalues, 0.99)
125 def percentile(values, p): function
|
| /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...] |
| /frameworks/base/libs/hwui/tests/macrobench/ |
| TestSceneRunner.cpp | 70 int percentile; member in struct:ReportInfo
99 durationInS = proxy->frameTimePercentile(ri.percentile) / 1000.0;
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| sample_stats.py | 36 "percentile",
215 # TODO(langmore) To make equivalent to numpy.percentile:
218 def percentile(x, function
225 """Compute the `q`-th percentile of `x`.
227 Given a vector `x`, the `q`-th percentile of `x` is the value `q / 100` of the
231 `interpolation` parameter will determine the percentile if the normalized
239 # Get 30th percentile with default ('nearest') interpolation.
241 percentile(x, q=30.)
244 # Get 30th percentile with 'lower' interpolation
246 percentile(x, q=30., interpolation='lower'
[all...] |
| /frameworks/base/libs/hwui/renderthread/ |
| RenderProxy.cpp | 229 uint32_t RenderProxy::frameTimePercentile(int percentile) {
231 return mRenderThread.globalProfileData()->findPercentile(percentile);
|
| /frameworks/base/libs/hwui/service/ |
| GraphicsStatsService.cpp | 215 static int32_t findPercentile(protos::GraphicsStatsProto* proto, int percentile) {
216 int32_t pos = percentile * proto->summary().total_frames() / 100;
242 dprintf(fd, "\n50th percentile: %dms", findPercentile(proto, 50));
243 dprintf(fd, "\n90th percentile: %dms", findPercentile(proto, 90));
244 dprintf(fd, "\n95th percentile: %dms", findPercentile(proto, 95));
245 dprintf(fd, "\n99th percentile: %dms", findPercentile(proto, 99));
|
| /developers/build/prebuilts/androidtv/sample-inputs/app/libs/ |
| exoplayer_dev-hls_20150123.jar | |
| /external/conscrypt/benchmark-android/ |
| vogar.jar | |
