| /third_party/typescript/tests/baselines/reference/ |
| D | variance.symbols | 1 === tests/cases/conformance/types/conditional/variance.ts ===
7 >Foo : Symbol(Foo, Decl(variance.ts, 0, 0))
8 >T : Symbol(T, Decl(variance.ts, 4, 14))
11 >prop : Symbol(Foo.prop, Decl(variance.ts, 4, 18))
12 >T : Symbol(T, Decl(variance.ts, 4, 14))
16 >foo : Symbol(foo, Decl(variance.ts, 8, 5))
17 >prop : Symbol(prop, Decl(variance.ts, 8, 13))
20 >x : Symbol(x, Decl(variance.ts, 9, 5))
21 >Foo : Symbol(Foo, Decl(variance.ts, 0, 0))
22 >foo : Symbol(foo, Decl(variance.ts, 8, 5))
[all …]
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| D | nestedCallbackErrorNotFlattened.types | 6 // which means the comparison will definitely be structural, rather than by variance
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| /third_party/gstreamer/gstplugins_bad/gst/dvbsubenc/libimagequant/ |
| D | mediancut.c | 30 f_pixel variance; member
206 float variance; member
212 return ((const channelvariance *) ch1)->variance > in comparevariance()
213 ((const channelvariance *) ch2)->variance ? -1 : (((const channelvariance in comparevariance()
214 *) ch1)->variance < in comparevariance()
215 ((const channelvariance *) ch2)->variance ? 1 : 0); in comparevariance()
227 {index_of_channel (r), b->variance.r}, in prepare_sort()
228 {index_of_channel (g), b->variance.g}, in prepare_sort()
229 {index_of_channel (b), b->variance.b}, in prepare_sort()
230 {index_of_channel (a), b->variance.a}, in prepare_sort()
[all …]
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| /third_party/skia/third_party/externals/abseil-cpp/absl/random/internal/ |
| D | distribution_test_util_test.cc | 162 m.variance = 1; in TEST()
167 m.variance = 1; in TEST()
172 m.variance = 100; in TEST()
180 m.variance = 1; in TEST()
185 m.variance = 1; in TEST()
190 m.variance = 100; in TEST()
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| D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local
127 if (variance != 0) { in ChiSquareValue()
128 return std::pow(z * std::sqrt(variance) + mean, 3.0) * dof; in ChiSquareValue()
172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
174 if (variance != 0) { in ChiSquarePValue()
175 const double z = (chi_square_scaled - mean) / std::sqrt(variance); in ChiSquarePValue()
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| D | distribution_test_util.cc | 53 result.variance += v * v; in ComputeDistributionMoments()
57 result.variance /= static_cast<double>(result.n - 1); in ComputeDistributionMoments()
60 result.skewness /= std::pow(result.variance, 1.5); in ComputeDistributionMoments()
63 result.kurtosis /= std::pow(result.variance, 2.0); in ComputeDistributionMoments()
76 moments.mean, std::sqrt(moments.variance), in operator <<()
405 (std::sqrt(moments.variance) / in ZScore()
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| D | distribution_test_util.h | 40 double variance = 0.0; member
|
| /third_party/ffmpeg/libavfilter/ |
| D | vf_palettegen.c | 43 int64_t variance; // overall variance of the box (how much the colors are spread) member
162 if (box->variance == -1) { in get_next_box_id_to_split()
163 int64_t variance = 0; in get_next_box_id_to_split() local
167 variance += diff(ref->color, box->color) * ref->count; in get_next_box_id_to_split()
169 box->variance = variance; in get_next_box_id_to_split()
171 if (box->variance > max_variance) { in get_next_box_id_to_split()
173 max_variance = box->variance; in get_next_box_id_to_split()
176 box->variance = -1; in get_next_box_id_to_split()
225 box->variance = -1; in split_box()
226 new_box->variance = -1; in split_box()
[all …]
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| D | af_dynaudnorm.c | 591 double variance = 0.0; in compute_frame_std_dev() local
599 variance += pow_2(data_ptr[i]); // Assume that MEAN is *zero* in compute_frame_std_dev()
602 variance /= (s->channels * frame->nb_samples) - 1; in compute_frame_std_dev()
607 variance += pow_2(data_ptr[i]); // Assume that MEAN is *zero* in compute_frame_std_dev()
609 variance /= frame->nb_samples - 1; in compute_frame_std_dev()
612 return FFMAX(sqrt(variance), DBL_EPSILON); in compute_frame_std_dev()
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| /third_party/python/Doc/library/ |
| D | statistics.rst | 66 :func:`pvariance` Population variance of data.
68 :func:`variance` Sample variance of data.
388 variance). See :func:`pvariance` for arguments and other details.
398 Return the population variance of *data*, a non-empty sequence or iterable
401 variance indicates that the data is spread out; a small variance indicates
409 Use this function to calculate the variance from the entire population. To
410 estimate the variance from a sample, the :func:`variance` function is usually
446 When called with the entire population, this gives the population variance
447 σ². When called on a sample instead, this is the biased sample variance
448 s², also known as variance with N degrees of freedom.
[all …]
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| /third_party/python/Lib/ |
| D | statistics.py | 725 def variance(data, xbar=None): function
828 var = variance(data, xbar)
1084 variance = self._sigma ** 2.0
1085 if not variance:
1087 return exp((x - self._mu)**2.0 / (-2.0*variance)) / sqrt(tau*variance)
1143 X_var, Y_var = X.variance, Y.variance
1192 def variance(self): member in NormalDist
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| /third_party/benchmark/docs/ |
| D | random_interleaving.md | 6 technique to lower run-to-run variance. It randomly interleaves repetitions of a
8 test. Data shows it is able to lower run-to-run variance by
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| /third_party/skia/third_party/externals/abseil-cpp/absl/random/ |
| D | distributions_test.cc | 298 EXPECT_NEAR(1 / 12.0, moments.variance, 0.02); in TEST_F()
317 EXPECT_NEAR(1 / 12.0, moments.variance, 0.02); in TEST_F()
346 EXPECT_NEAR(1.0, moments.variance, 0.025); in TEST_F()
362 EXPECT_NEAR(1.0, moments.variance, 0.02); in TEST_F()
379 EXPECT_NEAR(kMean, moments.variance, kMean * 0.015); in TEST_F()
440 EXPECT_NEAR(1.0, moments.variance, 0.04); in TEST_F()
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| D | exponential_distribution_test.cc | 158 double variance() const { return beta_ * beta_; } in variance() function in __anon38a949df0111::ExponentialModel
159 double stddev() const { return std::sqrt(variance()); } in stddev()
231 std::sqrt(m.variance), stddev(), m.skewness, in SingleZTest()
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| D | poisson_distribution_test.cc | 168 double variance() const { return mean_; } in variance() function in __anon4168e2830111::PoissonModel
169 double stddev() const { return std::sqrt(variance()); } in stddev()
296 p, max_err, m.mean, mean(), std::sqrt(m.variance), in SingleZTest()
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| /third_party/ffmpeg/libavutil/ |
| D | lls.c | 91 m->variance[j] = covar_y[0]; in avpriv_solve_lls()
99 m->variance[j] += m->coeff[j][i] * sum; in avpriv_solve_lls()
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| D | lls.h | 41 double variance[MAX_VARS]; member
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| /third_party/skia/infra/bots/task_drivers/perf_puppeteer_canvas/ |
| D | perf_puppeteer_canvas.go | 280 variance := float32(0)
282 variance += (sorted[i] - avg) * (sorted[i] - avg)
284 stddev := float32(math.Sqrt(float64(variance / float32(len(sorted)))))
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| /third_party/skia/third_party/externals/angle2/src/tests/test_utils/runner/ |
| D | HistogramWriter.cpp | 212 js::Value variance(running.variance()); in getAsJSON() local
220 stats.PushBack(variance, allocator); in getAsJSON()
|
| /third_party/vk-gl-cts/modules/glshared/ |
| D | glsStateChangePerfTestCases.cpp | 59 double variance; member
79 result.variance += (val - result.mean) * (val - result.mean); in calculateStats()
82 result.variance /= (double)values.size(); in calculateStats()
548 …log << TestLog::Message << "Interleaved variance: " << interleaved.variance << TestLog::End… in logAndSetTestResult()
554 …log << TestLog::Message << "Batched variance: " << batched.variance << TestLog::EndMessag… in logAndSetTestResult()
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| /third_party/skia/infra/bots/task_drivers/perf_puppeteer_render_skps/ |
| D | perf_puppeteer_render_skps.go | 353 variance := float32(0)
355 variance += (sorted[i] - avg) * (sorted[i] - avg)
357 stddev := float32(math.Sqrt(float64(variance / float32(len(sorted)))))
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| /third_party/skia/infra/bots/task_drivers/perf_puppeteer_skottie_frames/ |
| D | perf_puppeteer_skottie_frames.go | 376 variance := float32(0)
378 variance += (sorted[i] - avg) * (sorted[i] - avg)
380 stddev := float32(math.Sqrt(float64(variance / float32(len(sorted)))))
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| /third_party/skia/third_party/externals/angle2/src/tests/perf_tests/ |
| D | ANGLEPerfTest.cpp | 317 double variance = 0; in run() local
321 variance += difference * difference; in run()
323 variance /= numResults; in run()
325 double standardDeviation = std::sqrt(variance); in run()
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| /third_party/ffmpeg/libavutil/tests/ |
| D | lls.c | 49 var[0], order, eval, sqrt(m.variance[order] / (i + 1)), in main()
|
| /third_party/flutter/skia/tools/skpbench/ |
| D | skpbench.cpp | 380 double variance = 0; in print_result() local
383 variance += delta * delta; in print_result()
385 variance /= values.size(); in print_result()
387 const double stddev = 100/*%*/ * sqrt(variance) / accumValue; in print_result()
|