| /third_party/boost/libs/math/test/compile_test/ |
| D | test_compile_result.hpp | 93 const Distribution& dist = DistributionConcept<Distribution>::get_object(); in constraints() local
97 check_result<value_type>(cdf(dist, x)); in constraints()
98 check_result<value_type>(cdf(complement(dist, x))); in constraints()
99 check_result<value_type>(pdf(dist, x)); in constraints()
100 check_result<value_type>(quantile(dist, x)); in constraints()
101 check_result<value_type>(quantile(complement(dist, x))); in constraints()
102 check_result<value_type>(mean(dist)); in constraints()
103 check_result<value_type>(mode(dist)); in constraints()
104 check_result<value_type>(standard_deviation(dist)); in constraints()
105 check_result<value_type>(variance(dist)); in constraints()
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| /third_party/boost/libs/math/test/ |
| D | test_weibull.cpp | 262 weibull_distribution<RealType> dist(2, 3); in test_spots() local
269 mean(dist) in test_spots()
270 , dist.scale() * boost::math::tgamma(1 + 1 / dist.shape()), tolerance); in test_spots()
273 variance(dist) in test_spots()
274 …, dist.scale() * dist.scale() * boost::math::tgamma(1 + 2 / dist.shape()) - mean(dist) * mean(dist… in test_spots()
277 standard_deviation(dist) in test_spots()
278 , sqrt(variance(dist)), tolerance); in test_spots()
281 hazard(dist, x) in test_spots()
282 , pdf(dist, x) / cdf(complement(dist, x)), tolerance); in test_spots()
285 chf(dist, x) in test_spots()
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| D | test_skew_normal.cpp | 70 skew_normal_distribution<RealType> dist (mean, scale, shape); in check_skew_normal() local
76 cdf(complement(dist, x)), q, tol); // 1 - cdf in check_skew_normal()
78 quantile(dist, p), x, tol); // quantile(cdf) = x in check_skew_normal()
80 quantile(complement(dist, q)), x, tol); // quantile(complement(1 - cdf)) = x in check_skew_normal()
268 skew_normal_distribution<RealType> dist(8, 3); in test_spots() local
275 mean(dist) in test_spots()
279 variance(dist) in test_spots()
283 standard_deviation(dist) in test_spots()
287 hazard(dist, x) in test_spots()
288 , pdf(dist, x) / cdf(complement(dist, x)), tol5); in test_spots()
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| D | test_lognormal.cpp | 182 lognormal_distribution<RealType> dist(8, 3); in test_spots() local
189 mean(dist) in test_spots()
193 variance(dist) in test_spots()
197 standard_deviation(dist) in test_spots()
201 hazard(dist, x) in test_spots()
202 , pdf(dist, x) / cdf(complement(dist, x)), tolerance); in test_spots()
205 chf(dist, x) in test_spots()
206 , -log(cdf(complement(dist, x))), tolerance); in test_spots()
209 coefficient_of_variation(dist) in test_spots()
210 , standard_deviation(dist) / mean(dist), tolerance); in test_spots()
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| /third_party/boost/boost/math/distributions/ |
| D | hypergeometric.hpp | 96 …onst std::pair<unsigned, unsigned> range(const hypergeometric_distribution<RealType, Policy>& dist) in range() argument
102 unsigned r = dist.defective(); in range()
103 unsigned n = dist.sample_count(); in range()
104 unsigned N = dist.total(); in range()
120 inline RealType pdf(const hypergeometric_distribution<RealType, Policy>& dist, const unsigned& x) in pdf() argument
124 if(!dist.check_params(function, &result)) in pdf()
126 if(!dist.check_x(x, function, &result)) in pdf()
130 x, dist.defective(), dist.sample_count(), dist.total(), Policy()); in pdf()
134 inline RealType pdf(const hypergeometric_distribution<RealType, Policy>& dist, const U& x) in pdf() argument
145 return pdf(dist, u); in pdf()
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| D | pareto.hpp | 171 …line const std::pair<RealType, RealType> support(const pareto_distribution<RealType, Policy>& dist) in support() argument
175 …return std::pair<RealType, RealType>(dist.scale(), max_value<RealType>() ); // scale to + infinity. in support()
179 inline RealType pdf(const pareto_distribution<RealType, Policy>& dist, const RealType& x) in pdf() argument
183 RealType scale = dist.scale(); in pdf()
184 RealType shape = dist.shape(); in pdf()
198 inline RealType cdf(const pareto_distribution<RealType, Policy>& dist, const RealType& x) in cdf() argument
202 RealType scale = dist.scale(); in cdf()
203 RealType shape = dist.shape(); in cdf()
221 inline RealType quantile(const pareto_distribution<RealType, Policy>& dist, const RealType& p) in quantile() argument
226 RealType scale = dist.scale(); in quantile()
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| D | non_central_f.hpp | 84 inline RealType mean(const non_central_f_distribution<RealType, Policy>& dist) in mean() argument
87 RealType v1 = dist.degrees_of_freedom1(); in mean()
88 RealType v2 = dist.degrees_of_freedom2(); in mean()
89 RealType l = dist.non_centrality(); in mean()
114 inline RealType mode(const non_central_f_distribution<RealType, Policy>& dist) in mode() argument
118 RealType n = dist.degrees_of_freedom1(); in mode()
119 RealType m = dist.degrees_of_freedom2(); in mode()
120 RealType l = dist.non_centrality(); in mode()
138 dist, in mode()
144 inline RealType variance(const non_central_f_distribution<RealType, Policy>& dist) in variance() argument
[all …]
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| D | uniform.hpp | 152 …ine const std::pair<RealType, RealType> support(const uniform_distribution<RealType, Policy>& dist) in support() argument
156 return std::pair<RealType, RealType>(dist.lower(), dist.upper()); in support()
160 inline RealType pdf(const uniform_distribution<RealType, Policy>& dist, const RealType& x) in pdf() argument
162 RealType lower = dist.lower(); in pdf()
163 RealType upper = dist.upper(); in pdf()
185 inline RealType cdf(const uniform_distribution<RealType, Policy>& dist, const RealType& x) in cdf() argument
187 RealType lower = dist.lower(); in cdf()
188 RealType upper = dist.upper(); in cdf()
210 inline RealType quantile(const uniform_distribution<RealType, Policy>& dist, const RealType& p) in quantile() argument
212 RealType lower = dist.lower(); in quantile()
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| D | lognormal.hpp | 94 RealType pdf(const lognormal_distribution<RealType, Policy>& dist, const RealType& x) in pdf() argument
98 RealType mu = dist.location(); in pdf()
99 RealType sigma = dist.scale(); in pdf()
125 inline RealType cdf(const lognormal_distribution<RealType, Policy>& dist, const RealType& x) in cdf() argument
132 if(0 == detail::check_scale(function, dist.scale(), &result, Policy())) in cdf()
134 if(0 == detail::check_location(function, dist.location(), &result, Policy())) in cdf()
142 normal_distribution<RealType, Policy> norm(dist.location(), dist.scale()); in cdf()
147 inline RealType quantile(const lognormal_distribution<RealType, Policy>& dist, const RealType& p) in quantile() argument
154 if(0 == detail::check_scale(function, dist.scale(), &result, Policy())) in quantile()
156 if(0 == detail::check_location(function, dist.location(), &result, Policy())) in quantile()
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| D | skew_normal.hpp | 118 inline RealType pdf(const skew_normal_distribution<RealType, Policy>& dist, const RealType& x) in pdf() argument
120 const RealType scale = dist.scale(); in pdf()
121 const RealType location = dist.location(); in pdf()
122 const RealType shape = dist.shape(); in pdf()
163 inline RealType cdf(const skew_normal_distribution<RealType, Policy>& dist, const RealType& x) in cdf() argument
165 const RealType scale = dist.scale(); in cdf()
166 const RealType location = dist.location(); in cdf()
167 const RealType shape = dist.shape(); in cdf()
214 const RealType scale = c.dist.scale(); in cdf()
215 const RealType location = c.dist.location(); in cdf()
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| D | triangular.hpp | 195 … const std::pair<RealType, RealType> support(const triangular_distribution<RealType, Policy>& dist) in support() argument
198 return std::pair<RealType, RealType>(dist.lower(), dist.upper()); in support()
202 RealType pdf(const triangular_distribution<RealType, Policy>& dist, const RealType& x) in pdf() argument
205 RealType lower = dist.lower(); in pdf()
206 RealType mode = dist.mode(); in pdf()
207 RealType upper = dist.upper(); in pdf()
240 inline RealType cdf(const triangular_distribution<RealType, Policy>& dist, const RealType& x) in cdf() argument
243 RealType lower = dist.lower(); in cdf()
244 RealType mode = dist.mode(); in cdf()
245 RealType upper = dist.upper(); in cdf()
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| D | negative_binomial.hpp | 275 inline RealType mean(const negative_binomial_distribution<RealType, Policy>& dist) in mean() argument
277 return dist.successes() * (1 - dist.success_fraction() ) / dist.success_fraction(); in mean()
288 inline RealType mode(const negative_binomial_distribution<RealType, Policy>& dist) in mode() argument
291 return floor((dist.successes() -1) * (1 - dist.success_fraction()) / dist.success_fraction()); in mode()
295 inline RealType skewness(const negative_binomial_distribution<RealType, Policy>& dist) in skewness() argument
298 RealType p = dist.success_fraction(); in skewness()
299 RealType r = dist.successes(); in skewness()
306 inline RealType kurtosis(const negative_binomial_distribution<RealType, Policy>& dist) in kurtosis() argument
309 RealType p = dist.success_fraction(); in kurtosis()
310 RealType r = dist.successes(); in kurtosis()
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| D | bernoulli.hpp | 144 inline RealType mean(const bernoulli_distribution<RealType, Policy>& dist) in mean() argument
146 return dist.success_fraction(); in mean()
157 inline RealType variance(const bernoulli_distribution<RealType, Policy>& dist) in variance() argument
159 return dist.success_fraction() * (1 - dist.success_fraction()); in variance()
163 RealType pdf(const bernoulli_distribution<RealType, Policy>& dist, const RealType& k) in pdf() argument
170 dist.success_fraction(), // 0 to 1 in pdf()
179 return 1 - dist.success_fraction(); // 1 - p in pdf()
183 return dist.success_fraction(); // p in pdf()
188 inline RealType cdf(const bernoulli_distribution<RealType, Policy>& dist, const RealType& k) in cdf() argument
190 RealType p = dist.success_fraction(); in cdf()
[all …]
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| D | binomial.hpp | 199 …RealType quantile_imp(const binomial_distribution<RealType, Policy>& dist, const RealType& p, cons… in quantile_imp() argument
207 RealType trials = dist.trials(); in quantile_imp()
208 RealType success_fraction = dist.success_fraction(); in quantile_imp()
266 dist, in quantile_imp()
418 const std::pair<RealType, RealType> range(const binomial_distribution<RealType, Policy>& dist) in range() argument
421 return std::pair<RealType, RealType>(static_cast<RealType>(0), dist.trials()); in range()
425 … const std::pair<RealType, RealType> support(const binomial_distribution<RealType, Policy>& dist) in support() argument
428 return std::pair<RealType, RealType>(static_cast<RealType>(0), dist.trials()); in support()
432 inline RealType mean(const binomial_distribution<RealType, Policy>& dist) in mean() argument
434 return dist.trials() * dist.success_fraction(); in mean()
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| D | arcsine.hpp | 200 …line const std::pair<RealType, RealType> range(const arcsine_distribution<RealType, Policy>& dist) in range() argument
203 …urn std::pair<RealType, RealType>(static_cast<RealType>(dist.x_min()), static_cast<RealType>(dist.… in range()
207 …ne const std::pair<RealType, RealType> support(const arcsine_distribution<RealType, Policy>& dist) in support() argument
210 …urn std::pair<RealType, RealType>(static_cast<RealType>(dist.x_min()), static_cast<RealType>(dist.… in support()
214 inline RealType mean(const arcsine_distribution<RealType, Policy>& dist) in mean() argument
217 RealType x_min = dist.x_min(); in mean()
218 RealType x_max = dist.x_max(); in mean()
233 inline RealType variance(const arcsine_distribution<RealType, Policy>& dist) in variance() argument
236 RealType x_min = dist.x_min(); in variance()
237 RealType x_max = dist.x_max(); in variance()
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| /third_party/typescript/tests/baselines/reference/user/ |
| D | acorn.log | 3 node_modules/acorn/acorn-loose/dist/acorn-loose.js(3,10): error TS2304: Cannot find name 'define'.
4 node_modules/acorn/acorn-loose/dist/acorn-loose.js(3,35): error TS2304: Cannot find name 'define'.
5 node_modules/acorn/acorn-loose/dist/acorn-loose.js(3,48): error TS2304: Cannot find name 'define'.
6 …-loose/dist/acorn-loose.js(4,45): error TS2339: Property 'acorn' does not exist on type 'typeof im…
7 …-loose/dist/acorn-loose.js(4,80): error TS2339: Property 'acorn' does not exist on type 'typeof im…
8 …loose/dist/acorn-loose.js(4,106): error TS2339: Property 'acorn' does not exist on type 'typeof im…
9 node_modules/acorn/acorn-loose/dist/acorn-loose.js(12,34): error TS2339: Property 'BaseParser' does…
10 node_modules/acorn/acorn-loose/dist/acorn-loose.js(83,12): error TS2339: Property 'next' does not e…
11 node_modules/acorn/acorn-loose/dist/acorn-loose.js(110,16): error TS2339: Property 'lookAhead' does…
12 node_modules/acorn/acorn-loose/dist/acorn-loose.js(111,44): error TS2339: Property 'next' does not …
[all …]
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| /third_party/boost/libs/algorithm/test/ |
| D | find_backward_test.cpp | 68 const dist_t<std::vector<int> > dist(v1); in test_find_backward() local
73 dist(ba::find_backward(v1.begin(), v1.end(), 0)), v1.size()); in test_find_backward()
75 dist(ba::find_backward(v1.begin(), v1.end(), 100)), v1.size()); in test_find_backward()
77 dist(ba::find_backward(v1.begin(), v1.end(), v1.back())), in test_find_backward()
80 dist(ba::find_backward(v1.begin(), v1.end(), v1.front())), 0); in test_find_backward()
82 BOOST_CHECK_EQUAL(dist(ba::find_backward(v1, 0)), v1.size()); in test_find_backward()
83 BOOST_CHECK_EQUAL(dist(ba::find_backward(v1, 100)), v1.size()); in test_find_backward()
85 dist(ba::find_backward(v1, v1.back())), v1.size() - 1); in test_find_backward()
86 BOOST_CHECK_EQUAL(dist(ba::find_backward(v1, v1.front())), 0); in test_find_backward()
92 const dist_t<std::list<int> > dist(l1); in test_find_backward() local
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| D | find_not_test.cpp | 69 const dist_t<std::vector<int> > dist(v1); in test_sequence() local
73 BOOST_CHECK_EQUAL(dist(ba::find_not(v1.begin(), v1.end(), 0)), 0); in test_sequence()
75 dist(ba::find_not(v1.begin(), v1.end(), v1.back())), 0); in test_sequence()
77 dist(ba::find_not(v1.begin(), v1.end(), v1.front())), 1); in test_sequence()
79 BOOST_CHECK_EQUAL(dist(ba::find_not(v1, 0)), 0); in test_sequence()
80 BOOST_CHECK_EQUAL(dist(ba::find_not(v1, v1.back())), 0); in test_sequence()
81 BOOST_CHECK_EQUAL(dist(ba::find_not(v1, v1.front())), 1); in test_sequence()
84 BOOST_CHECK_EQUAL(dist(ba::find_not(v1.begin(), v1.end(), 0)), 0); in test_sequence()
86 dist(ba::find_not(v1.begin(), v1.end(), v1.back())), v1.size()); in test_sequence()
88 dist(ba::find_not(v1.begin(), v1.end(), v1.front())), v1.size()); in test_sequence()
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| /third_party/python/Lib/distutils/tests/ |
| D | test_dist.py | 11 from distutils.dist import Distribution, fix_help_options
183 dist = Distribution(attrs={'author': 'xxx', 'name': 'xxx',
188 self.assertNotIn('options', dir(dist))
194 dist = Distribution(attrs=attrs)
195 dist.finalize_options()
198 self.assertEqual(dist.metadata.platforms, ['one', 'two'])
199 self.assertEqual(dist.metadata.keywords, ['one', 'two'])
203 dist = Distribution(attrs=attrs)
204 dist.finalize_options()
205 self.assertEqual(dist.metadata.platforms, ['foo bar'])
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| /third_party/boost/boost/math/concepts/ |
| D | distributions.hpp | 59 RealType pdf(const distribution_archetype<RealType>& dist, const RealType& x);
62 RealType cdf(const distribution_archetype<RealType>& dist, const RealType& x);
65 RealType quantile(const distribution_archetype<RealType>& dist, const RealType& p);
74 RealType mean(const distribution_archetype<RealType>& dist);
77 RealType standard_deviation(const distribution_archetype<RealType>& dist);
80 RealType variance(const distribution_archetype<RealType>& dist);
83 RealType hazard(const distribution_archetype<RealType>& dist);
86 RealType chf(const distribution_archetype<RealType>& dist);
90 RealType coefficient_of_variation(const distribution_archetype<RealType>& dist);
93 RealType mode(const distribution_archetype<RealType>& dist);
[all …]
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| /third_party/abseil-cpp/absl/random/ |
| D | bernoulli_distribution_test.cc | 73 absl::bernoulli_distribution dist(p); in TEST_P() local
75 if (dist(rng)) yes++; in TEST_P()
139 auto generate = [&urbg](absl::bernoulli_distribution& dist) { in TEST() argument
144 output.append(dist(urbg) ? "1" : "0"); in TEST()
151 absl::bernoulli_distribution dist(kP); in TEST() local
152 auto v = generate(dist); in TEST()
154 EXPECT_EQ(v, "00000000000010000000000010000000000") << dist; in TEST()
157 absl::bernoulli_distribution dist(kP * 10.0); in TEST() local
158 auto v = generate(dist); in TEST()
160 EXPECT_EQ(v, "00000100010010010010000011000011010") << dist; in TEST()
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| /third_party/skia/third_party/externals/abseil-cpp/absl/random/ |
| D | bernoulli_distribution_test.cc | 73 absl::bernoulli_distribution dist(p); in TEST_P() local
75 if (dist(rng)) yes++; in TEST_P()
139 auto generate = [&urbg](absl::bernoulli_distribution& dist) { in TEST() argument
144 output.append(dist(urbg) ? "1" : "0"); in TEST()
151 absl::bernoulli_distribution dist(kP); in TEST() local
152 auto v = generate(dist); in TEST()
154 EXPECT_EQ(v, "00000000000010000000000010000000000") << dist; in TEST()
157 absl::bernoulli_distribution dist(kP * 10.0); in TEST() local
158 auto v = generate(dist); in TEST()
160 EXPECT_EQ(v, "00000100010010010010000011000011010") << dist; in TEST()
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| /third_party/boost/boost/math/distributions/detail/ |
| D | derived_accessors.hpp | 42 typename Distribution::value_type variance(const Distribution& dist);
45 inline typename Distribution::value_type standard_deviation(const Distribution& dist) in standard_deviation() argument
48 return sqrt(variance(dist)); in standard_deviation()
52 inline typename Distribution::value_type variance(const Distribution& dist) in variance() argument
54 typename Distribution::value_type result = standard_deviation(dist); in variance()
59 inline typename Distribution::value_type hazard(const Distribution& dist, const RealType& x) in hazard() argument
64 value_type p = cdf(complement(dist, x)); in hazard()
65 value_type d = pdf(dist, x); in hazard()
78 inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x) in chf() argument
82 return -log(cdf(complement(dist, x))); in chf()
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| /third_party/boost/libs/math/dot_net_example/distribution_explorer/ |
| D | DistexForm.cs | 125 private boost_math.any_distribution dist; field in distribution_explorer.DistexForm
136 double pdf = dist.pdf(x); // Compute pdf values from x in dataGridView1_CellEndEdit()
137 double cdf = dist.cdf(x); // & cdf in dataGridView1_CellEndEdit()
138 double ccdf = dist.ccdf(x); // & complements. in dataGridView1_CellEndEdit()
166 mean.Text = dist.mean().ToString(); in tabPage2_Enter()
174 mode.Text = dist.mode().ToString(); in tabPage2_Enter()
182 median.Text = dist.median().ToString(); in tabPage2_Enter()
190 variance.Text = dist.variance().ToString(); in tabPage2_Enter()
198 standard_deviation.Text = dist.standard_deviation().ToString(); in tabPage2_Enter()
206 skewness.Text = dist.skewness().ToString(); in tabPage2_Enter()
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| /third_party/gstreamer/gstreamer/tests/check/libs/ |
| D | adapter.c | 367 guint64 dist; in GST_START_TEST() local
383 timestamp = gst_adapter_prev_pts (adapter, &dist); in GST_START_TEST()
385 fail_unless (dist == 0); in GST_START_TEST()
391 offset = gst_adapter_prev_offset (adapter, &dist); in GST_START_TEST()
393 fail_unless (dist == 0); in GST_START_TEST()
399 dist = gst_adapter_distance_from_discont (adapter); in GST_START_TEST()
400 fail_unless (dist == 0); in GST_START_TEST()
407 timestamp = gst_adapter_prev_pts (adapter, &dist); in GST_START_TEST()
409 fail_unless (dist == 50); in GST_START_TEST()
415 offset = gst_adapter_prev_offset (adapter, &dist); in GST_START_TEST()
[all …]
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