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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
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  /art/libartbase/base/
histogram-inl.h 199 << (interval * 100) << "% C.I. " << FormatDuration(Percentile(per_0, data) * kAdjust, unit,
201 << "-" << FormatDuration(Percentile(per_1, data) * kAdjust, unit, kFractionalDigits) << " "
238 inline double Histogram<Value>::Percentile(double per, const CumulativeData& data) const {
  /external/tensorflow/tensorflow/core/lib/histogram/
histogram.cc 116 double Histogram::Median() const { return Percentile(50.0); }
125 // interpolate a histogram value at percentile p
126 double Histogram::Percentile(double p) const {
258 double ThreadSafeHistogram::Percentile(double p) const {
260 return histogram_.Percentile(p);
  /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
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