| /external/grpc-grpc/tools/run_tests/performance/ |
| D | massage_qps_stats.py | 327 "core_call_initial_size_50p"] = massage_qps_stats_helpers.percentile(
330 "core_call_initial_size_95p"] = massage_qps_stats_helpers.percentile(
333 "core_call_initial_size_99p"] = massage_qps_stats_helpers.percentile(
342 "core_poll_events_returned_50p"] = massage_qps_stats_helpers.percentile(
345 "core_poll_events_returned_95p"] = massage_qps_stats_helpers.percentile(
348 "core_poll_events_returned_99p"] = massage_qps_stats_helpers.percentile(
356 "core_tcp_write_size_50p"] = massage_qps_stats_helpers.percentile(
359 "core_tcp_write_size_95p"] = massage_qps_stats_helpers.percentile(
362 "core_tcp_write_size_99p"] = massage_qps_stats_helpers.percentile(
371 "core_tcp_write_iov_size_50p"] = massage_qps_stats_helpers.percentile(
[all …]
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| D | massage_qps_stats_helpers.py | 40 def percentile(buckets, pctl, boundaries): function
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| /external/autotest/client/bin/ |
| D | fio_util.py | 76 def _parse_log_file(cls, file_name, pass_index, pass_count, percentile): argument
103 if percentile:
120 def _gen_data_col(cls, pass_list, percentile): argument
132 if percentile:
140 def _gen_data_row(cls, test_type, pass_list, percentile): argument
155 pass_count, percentile))
159 def _write_data(cls, f, test_type, pass_list, percentile): argument
169 col = cls._gen_data_col(pass_list, percentile)
170 row = cls._gen_data_row(test_type, pass_list, percentile)
178 def _write_option(cls, f, test_name, test_type, percentile): argument
[all …]
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | sample_stats_test.py | 272 expected_percentile = np.percentile(
275 pct = sample_stats.percentile(
283 expected_percentile = np.percentile(
286 pct = sample_stats.percentile(x, q=q, interpolation=self._interpolation)
293 expected_percentile = np.percentile(
297 pct_neg_index = sample_stats.percentile(
299 pct_pos_index = sample_stats.percentile(
309 expected_percentile = np.percentile(
312 pct = sample_stats.percentile(
320 expected_percentile = np.percentile(
[all …]
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| D | 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 …]
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| D | 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 …]
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| /external/opencensus-java/api/src/main/java/io/opencensus/metrics/export/ |
| D | Summary.java | 170 public static ValueAtPercentile create(double percentile, double value) { in create() argument
172 0 < percentile && percentile <= 100.0, in create()
175 return new AutoValue_Summary_Snapshot_ValueAtPercentile(percentile, value); in create()
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| /external/chromium-trace/catapult/common/lab/ |
| D | commits.py | 35 def Percentile(data, percentile): argument
51 k = (len(data) - 1) * percentile
97 percentile = Percentile(commit_durations, p)
98 print '%3d%% commit duration:' % (p * 100), '%6.1fm' % percentile
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | test_util.cc | 82 int ExponentialRandomPositiveInt(float percentile, int percentile_val, in ExponentialRandomPositiveInt() argument
85 -std::log(1.f - percentile) / static_cast<float>(percentile_val); in ExponentialRandomPositiveInt()
94 float ExponentialRandomPositiveFloat(float percentile, float percentile_val, in ExponentialRandomPositiveFloat() argument
97 -std::log(1.f - percentile) / static_cast<float>(percentile_val); in ExponentialRandomPositiveFloat()
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| D | test_util.h | 52 int ExponentialRandomPositiveInt(float percentile, int percentile_val,
56 float ExponentialRandomPositiveFloat(float percentile, float percentile_val,
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| /external/caliper/caliper/src/main/java/com/google/caliper/runner/ |
| D | ConsoleOutput.java | 119 Percentile percentile = new Percentile(); in processTrial() local
120 percentile.setData(weightedValues); in processTrial()
126 descriptiveStatistics.getMin(), percentile.evaluate(25), in processTrial()
127 percentile.evaluate(50), descriptiveStatistics.getMean(), in processTrial()
128 percentile.evaluate(75), descriptiveStatistics.getMax()); in processTrial()
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| /external/v8/tools/ |
| D | 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))
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| /external/grpc-grpc/test/core/util/ |
| D | histogram_test.cc | 28 static void expect_percentile(grpc_histogram* h, double percentile, in expect_percentile() argument
30 double got = grpc_histogram_percentile(h, percentile); in expect_percentile()
31 gpr_log(GPR_INFO, "@%f%%, expect %f <= %f <= %f", percentile, min_expect, got, in expect_percentile()
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| D | histogram.cc | 196 double grpc_histogram_percentile(grpc_histogram* h, double percentile) { in grpc_histogram_percentile() argument
197 return threshold_for_count_below(h, h->count * percentile / 100.0); in grpc_histogram_percentile()
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| D | histogram.h | 41 double grpc_histogram_percentile(grpc_histogram* histogram, double percentile);
|
| /external/grpc-grpc/tools/profiling/latency_profile/ |
| D | profile_analyzer.py | 185 def percentile(N, percent, key=lambda x: x): function
214 return '%.1f/%.1f/%.1f' % (1e6 * percentile(values, 0.5),
215 1e6 * percentile(values, 0.9),
216 1e6 * percentile(values, 0.99))
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| /external/tensorflow/tensorflow/core/kernels/data/experimental/ |
| D | choose_fastest_dataset_op.cc | 333 double percentile = histograms_[i].Percentile(kPercentile); in SelectFastestInputIndex() local
334 VLOG(2) << "Branch " << i << ": " << percentile; in SelectFastestInputIndex()
335 if (percentile <= best_percentile) { in SelectFastestInputIndex()
336 best_percentile = percentile; in SelectFastestInputIndex()
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| D | choose_fastest_branch_dataset_op.cc | 460 double percentile = histograms_[i].Percentile(kPercentile); in SelectFastestInputIndex() local
461 VLOG(2) << "Branch " << i << ": " << percentile; in SelectFastestInputIndex()
462 if (percentile <= best_percentile) { in SelectFastestInputIndex()
463 best_percentile = percentile; in SelectFastestInputIndex()
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| /external/grpc-grpc/src/core/lib/debug/ |
| D | stats.cc | 133 double percentile) { in grpc_stats_histo_percentile() argument
140 static_cast<double>(count) * percentile / 100.0); in grpc_stats_histo_percentile()
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| D | stats.h | 64 double percentile);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
| D | StatUtils.java | 520 public static double percentile(final double[] values, final double p) { in percentile() method in StatUtils
551 public static double percentile(final double[] values, final int begin, in percentile() method in StatUtils
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | test_data.py | 33 quantiles = np.percentile(
|
| /external/syzkaller/vendor/golang.org/x/net/trace/ |
| D | histogram.go | 120 func (h *histogram) percentileBoundary(percentile float64) int64 {
130 percentOfTotal := round(float64(total) * percentile)
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| /external/swiftshader/third_party/llvm-7.0/llvm/test/Transforms/LoopUnroll/ |
| D | peel-loop-pgo.ll | 4 ; the hot percentile is above the threshold.
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | sample_stats.py | 219 def percentile(x, function
|