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Searched refs:percentiles (Results 1 – 12 of 12) sorted by relevance

/third_party/node/deps/histogram/src/
Dhdr_histogram.c848 struct hdr_iter_percentiles* percentiles = &iter->specifics.percentiles; in percentile_iter_next() local
852 if (percentiles->seen_last_value) in percentile_iter_next()
857 percentiles->seen_last_value = true; in percentile_iter_next()
858 percentiles->percentile = 100.0; in percentile_iter_next()
872 percentiles->percentile_to_iterate_to <= current_percentile) in percentile_iter_next()
876 percentiles->percentile = percentiles->percentile_to_iterate_to; in percentile_iter_next()
877 … temp = (int64_t)(log(100 / (100.0 - (percentiles->percentile_to_iterate_to))) / log(2)) + 1; in percentile_iter_next()
879 percentile_reporting_ticks = percentiles->ticks_per_half_distance * half_distance; in percentile_iter_next()
880 percentiles->percentile_to_iterate_to += 100.0 / percentile_reporting_ticks; in percentile_iter_next()
896 iter->specifics.percentiles.seen_last_value = false; in hdr_iter_percentile_init()
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Dhdr_histogram.h387 struct hdr_iter_percentiles percentiles; member
/third_party/node/lib/internal/
Dhistogram.js63 percentiles: this.percentiles,
97 get percentiles() { getter in Histogram
99 this[kHandle]?.percentiles(this[kMap]);
/third_party/node/test/sequential/
Dtest-performance-eventloopdelay.js69 assert(histogram.percentiles.size > 0);
78 assert.strictEqual(histogram.percentiles.size, 1);
/third_party/node/src/
Dhistogram-inl.h53 double key = iter.specifics.percentiles.percentile; in Percentiles()
/third_party/boost/libs/math/doc/distexplorer/
Ddistexplorer.qbk57 *Quantiles (percentiles or fractiles) are calculated for typical risk (alpha) probabilities (0.001,…
/third_party/boost/libs/math/dot_net_example/distribution_explorer/
Dreadme.txt63 …* Quantiles (percentiles) are calculated for typical risk (alpha) probabilities (0.001, 0.01, 0.5,…
/third_party/python/Doc/library/
Dstatistics.rst535 *n* to 100 for percentiles which gives the 99 cuts points that separate
557 percentiles: 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%.
565 values, the method sorts them and assigns the following percentiles:
795 Set *n* to 100 for percentiles which gives the 99 cuts points that
/third_party/grpc/src/proto/grpc/testing/
Dcontrol.proto247 // X% latency percentiles (in nanoseconds)
/third_party/node/doc/api/
Dperf_hooks.md701 console.log(h.percentiles);
758 ### `histogram.percentiles`
/third_party/boost/libs/math/doc/distributions/
Ddist_tutorial.qbk308 Some texts talk about quantiles, or percentiles or fractiles,
/third_party/python/Doc/whatsnew/
D3.8.rst1201 in to equiprobable intervals (e.g. quartiles, deciles, or percentiles).