Home
last modified time | relevance | path

Searched refs:covariance (Results 26 – 50 of 3209) sorted by relevance

12345678910>>...129

/dports/databases/percona57-client/boost_1_59_0/libs/accumulators/test/
H A Dcovariance.cpp28 accumulator_set<double, stats<tag::covariance<double, tag::covariate1> > > acc; in test_stat()
29 …accumulator_set<std::vector<double>, stats<tag::covariance<double, tag::covariate1> > > acc2(sampl… in test_stat()
80 BOOST_CHECK_CLOSE((covariance(acc)), -1.75, epsilon); in test_stat()
81 BOOST_CHECK_CLOSE((covariance(acc2))[0], 1.75, epsilon); in test_stat()
82 BOOST_CHECK_CLOSE((covariance(acc2))[1], -1.125, epsilon); in test_stat()
83 BOOST_CHECK_CLOSE((covariance(acc3))[0], 1.75, epsilon); in test_stat()
84 BOOST_CHECK_CLOSE((covariance(acc3))[1], -1.125, epsilon); in test_stat()
85 BOOST_CHECK_CLOSE((covariance(acc4))(0,0), 0.125, epsilon); in test_stat()
86 BOOST_CHECK_CLOSE((covariance(acc4))(0,1), -0.25, epsilon); in test_stat()
87 BOOST_CHECK_CLOSE((covariance(acc4))(1,0), -0.125, epsilon); in test_stat()
[all …]
/dports/databases/mysqlwsrep57-server/boost_1_59_0/libs/accumulators/test/
H A Dcovariance.cpp28 accumulator_set<double, stats<tag::covariance<double, tag::covariate1> > > acc; in test_stat()
29 …accumulator_set<std::vector<double>, stats<tag::covariance<double, tag::covariate1> > > acc2(sampl… in test_stat()
80 BOOST_CHECK_CLOSE((covariance(acc)), -1.75, epsilon); in test_stat()
81 BOOST_CHECK_CLOSE((covariance(acc2))[0], 1.75, epsilon); in test_stat()
82 BOOST_CHECK_CLOSE((covariance(acc2))[1], -1.125, epsilon); in test_stat()
83 BOOST_CHECK_CLOSE((covariance(acc3))[0], 1.75, epsilon); in test_stat()
84 BOOST_CHECK_CLOSE((covariance(acc3))[1], -1.125, epsilon); in test_stat()
85 BOOST_CHECK_CLOSE((covariance(acc4))(0,0), 0.125, epsilon); in test_stat()
86 BOOST_CHECK_CLOSE((covariance(acc4))(0,1), -0.25, epsilon); in test_stat()
87 BOOST_CHECK_CLOSE((covariance(acc4))(1,0), -0.125, epsilon); in test_stat()
[all …]
/dports/science/InsightToolkit/ITK-5.0.1/Modules/Segmentation/LevelSets/test/
H A DitkVectorThresholdSegmentationLevelSetImageFilterTest.cxx84 CovarianceMatrixType covariance = CovarianceMatrixType( 3, 3 ); in itkVectorThresholdSegmentationLevelSetImageFilterTest() local
86 covariance[0][0] = 79.2225; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
87 covariance[1][1] = 81.0314; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
88 covariance[2][2] = 51.1744; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
89 covariance[0][1] = 72.4737; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
90 covariance[0][2] = 57.7892; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
91 covariance[1][2] = 61.9859; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
92 covariance[1][0] = covariance[0][1]; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
93 covariance[2][0] = covariance[0][2]; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
94 covariance[2][1] = covariance[1][2]; in itkVectorThresholdSegmentationLevelSetImageFilterTest()
[all …]
/dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/segmentation/src/
H A Dgrabcut_segmentation.cpp598 …g.determinant = g.covariance (0,0)*(g.covariance (1,1)*g.covariance (2,2) - g.covariance (1,2)*g.c… in fit()
599 …- g.covariance (0,1)*(g.covariance (1,0)*g.covariance (2,2) - g.covariance (1,2)*g.covariance (2,0… in fit()
600 …+ g.covariance (0,2)*(g.covariance (1,0)*g.covariance (2,1) - g.covariance (1,1)*g.covariance (2,0… in fit()
603 …g.inverse (0,0) = (g.covariance (1,1)*g.covariance (2,2) - g.covariance (1,2)*g.covariance (2,1))… in fit()
604 …g.inverse (1,0) = -(g.covariance (1,0)*g.covariance (2,2) - g.covariance (1,2)*g.covariance (2,0))… in fit()
605 …g.inverse (2,0) = (g.covariance (1,0)*g.covariance (2,1) - g.covariance (1,1)*g.covariance (2,0))… in fit()
606 …g.inverse (0,1) = -(g.covariance (0,1)*g.covariance (2,2) - g.covariance (0,2)*g.covariance (2,1))… in fit()
607 …g.inverse (1,1) = (g.covariance (0,0)*g.covariance (2,2) - g.covariance (0,2)*g.covariance (2,0))… in fit()
608 …g.inverse (2,1) = -(g.covariance (0,0)*g.covariance (2,1) - g.covariance (0,1)*g.covariance (2,0))… in fit()
609 …g.inverse (0,2) = (g.covariance (0,1)*g.covariance (1,2) - g.covariance (0,2)*g.covariance (1,1))… in fit()
[all …]
/dports/math/openturns/openturns-1.18/python/doc/examples/reliability_sensitivity/reliability/
H A Dplot_proba_system_event.py83 def buildNormal(b, t, mu_S, covariance, delta_t=1e-5): argument
85 sigma[0, 0] = covariance(t, t)[0, 0]
86 sigma[0, 1] = covariance(t, t+delta_t)[0, 0]
87 sigma[1, 1] = covariance(t+delta_t, t+delta_t)[0, 0]
95 def buildCrossing(b, t, mu_S, covariance, R, delta_t=1e-5): argument
96 normal = buildNormal(b, t, mu_S, covariance, delta_t)
108 full = buildCrossing(b, t, mu_S, covariance, R, delta_t)
128 full = buildCrossing(b, t, mu_S, covariance, R, delta_t)
149 full = buildCrossing(b, t, mu_S, covariance, R, delta_t)
184 covariance = SquaredExponential([l/sqrt(2)], [sigma_S]) variable
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/covariance/
H A D_empirical_covariance.py91 covariance = np.dot(X.T, X) / X.shape[0]
93 covariance = np.cov(X.T, bias=1)
95 if covariance.ndim == 0:
96 covariance = np.array([[covariance]])
97 return covariance
174 def _set_covariance(self, covariance): argument
186 covariance = check_array(covariance)
188 self.covariance_ = covariance
191 self.precision_ = linalg.pinvh(covariance, check_finite=False)
231 covariance = empirical_covariance(X, assume_centered=self.assume_centered)
[all …]
/dports/science/InsightToolkit/ITK-5.0.1/Modules/Core/ImageFunction/include/
H A DitkScatterMatrixImageFunction.hxx57 RealType covariance; in EvaluateAtIndex() local
66 covariance = vnl_matrix< PixelComponentRealType >(VectorDimension, VectorDimension); in EvaluateAtIndex()
67 covariance.fill(NumericTraits< PixelComponentRealType >::ZeroValue()); in EvaluateAtIndex()
71 covariance.fill( NumericTraits< PixelComponentRealType >::max() ); in EvaluateAtIndex()
72 return covariance; in EvaluateAtIndex()
77 covariance.fill( NumericTraits< PixelComponentRealType >::max() ); in EvaluateAtIndex()
78 return covariance; in EvaluateAtIndex()
99 covariance[dimx][dimy] += in EvaluateAtIndex()
109 covariance[dimx][dimy] /= double(size); in EvaluateAtIndex()
113 return ( covariance ); in EvaluateAtIndex()
/dports/math/cgal/CGAL-5.3/include/CGAL/
H A Dlinear_least_squares_fitting_circles_2.h103 covariance[0] += transformation[0][0] + area * x0*x0; in linear_least_squares_fitting_2()
104 covariance[1] += transformation[0][1] + area * x0*y0; in linear_least_squares_fitting_2()
105 covariance[2] += transformation[1][1] + area * y0*y0; in linear_least_squares_fitting_2()
114 covariance[0] += -mass * (c.x() * c.x()); in linear_least_squares_fitting_2()
115 covariance[1] += -mass * (c.x() * c.y()); in linear_least_squares_fitting_2()
116 covariance[2] += -mass * (c.y() * c.y()); in linear_least_squares_fitting_2()
124 (covariance, eigen_values, eigen_vectors); in linear_least_squares_fitting_2()
220 covariance[0] += -mass * (c.x() * c.x()); in linear_least_squares_fitting_2()
221 covariance[1] += -mass * (c.x() * c.y()); in linear_least_squares_fitting_2()
222 covariance[2] += -mass * (c.y() * c.y()); in linear_least_squares_fitting_2()
[all …]
H A Dlinear_least_squares_fitting_spheres_3.h51 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0., 0., 0., 0. }}; in linear_least_squares_fitting_3() local
52 …assemble_covariance_matrix_3(first,beyond,covariance,c,k,(Sphere*) nullptr,tag, diagonalize_traits… in linear_least_squares_fitting_3()
55 return fitting_plane_3(covariance,c,plane,k,diagonalize_traits); in linear_least_squares_fitting_3()
82 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0., 0., 0., 0. }}; in linear_least_squares_fitting_3() local
83 …assemble_covariance_matrix_3(first,beyond,covariance,c,k,(Sphere*) nullptr,tag, diagonalize_traits… in linear_least_squares_fitting_3()
86 return fitting_plane_3(covariance,c,plane,k,diagonalize_traits); in linear_least_squares_fitting_3()
114 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0., 0., 0., 0. }}; in linear_least_squares_fitting_3() local
115 …assemble_covariance_matrix_3(first,beyond,covariance,c,k,(Sphere*) nullptr,tag, diagonalize_traits… in linear_least_squares_fitting_3()
119 return fitting_line_3(covariance,c,line,k,diagonalize_traits); in linear_least_squares_fitting_3()
146 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0., 0., 0., 0. }}; in linear_least_squares_fitting_3() local
[all …]
/dports/math/openturns/openturns-1.18/python/test/
H A Dt_ExponentiallyDampedCosineModel_std.expout3 covariance matrix at t = 1.0 : [[ 0.297621 ]]
4 covariance matrix at t = -1.0 : [[ 0.297621 ]]
5 covariance matrix at t = 15.0 : [[ -3.05902e-07 ]]
6 discretized covariance over the time grid= RegularGrid(start=0, step=0.333333, n=4) is= [[ 1 …
12 covariance matrix at t = 1.0 : [[ 0.113681 ]]
13 covariance matrix at t = -1.0 : [[ 0.113681 ]]
14 covariance matrix at t = 15.0 : [[ 3.05902e-07 ]]
15 discretized covariance over the time grid= RegularGrid(start=0, step=0.333333, n=4) is= [[ 1 …
H A Dt_ExponentialModel_std.expout3 covariance matrix at t = 1.0 : [[ 1.47152 ]]
4 covariance matrix at t = -1.0 : [[ 1.47152 ]]
5 covariance matrix at t = 15.0 : [[ 1.22361e-06 ]]
6 discretized covariance over the time grid= RegularGrid(start=0, step=0.333333, n=4) is= [[ 4 …
14 covariance matrix at t = 1.0 : [[ 0.367879 0.735759 0 ]
17 covariance matrix at t = -1.0 : [[ 0.367879 0.735759 0 ]
20 covariance matrix at t = 15.0 : [[ 3.05902e-07 6.11805e-07 0 ]
23 discretized covariance over the time grid= RegularGrid(start=0, step=0.333333, n=4) is= 12x12
/dports/multimedia/gstreamer1-libav/gst-libav-1.16.2/gst-libs/ext/libav/libavutil/
H A Dpca.c33 double *covariance; member
50 pca->covariance= av_calloc(n*n, sizeof(double)); in ff_pca_init()
53 if (!pca->z || !pca->covariance || !pca->mean) { in ff_pca_init()
62 av_freep(&pca->covariance); in ff_pca_free()
75 pca->covariance[j + i*n] += v[i]*v[j]; in ff_pca_add()
92 pca->covariance[j + i*n] /= pca->count; in ff_pca()
94 pca->covariance[i + j*n] = pca->covariance[j + i*n]; in ff_pca()
96 eigenvalue[j]= pca->covariance[j + j*n]; in ff_pca()
105 sum += fabs(pca->covariance[j + i*n]); in ff_pca()
137 pca->covariance[j + i*n]=0.0; in ff_pca()
[all …]
/dports/multimedia/ffmpeg/ffmpeg-4.4.1/libavutil/
H A Dpca.c33 double *covariance; member
50 pca->covariance= av_calloc(n*n, sizeof(double)); in ff_pca_init()
53 if (!pca->z || !pca->covariance || !pca->mean) { in ff_pca_init()
62 av_freep(&pca->covariance); in ff_pca_free()
75 pca->covariance[j + i*n] += v[i]*v[j]; in ff_pca_add()
92 pca->covariance[j + i*n] /= pca->count; in ff_pca()
94 pca->covariance[i + j*n] = pca->covariance[j + i*n]; in ff_pca()
96 eigenvalue[j]= pca->covariance[j + j*n]; in ff_pca()
105 sum += fabs(pca->covariance[j + i*n]); in ff_pca()
137 pca->covariance[j + i*n]=0.0; in ff_pca()
[all …]
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/ffmpeg/libavutil/
H A Dpca.c33 double *covariance; member
50 pca->covariance= av_calloc(n*n, sizeof(double)); in ff_pca_init()
53 if (!pca->z || !pca->covariance || !pca->mean) { in ff_pca_init()
62 av_freep(&pca->covariance); in ff_pca_free()
75 pca->covariance[j + i*n] += v[i]*v[j]; in ff_pca_add()
92 pca->covariance[j + i*n] /= pca->count; in ff_pca()
94 pca->covariance[i + j*n] = pca->covariance[j + i*n]; in ff_pca()
96 eigenvalue[j]= pca->covariance[j + j*n]; in ff_pca()
105 sum += fabs(pca->covariance[j + i*n]); in ff_pca()
137 pca->covariance[j + i*n]=0.0; in ff_pca()
[all …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/libavutil/
H A Dpca.c33 double *covariance; member
50 pca->covariance= av_calloc(n*n, sizeof(double)); in ff_pca_init()
53 if (!pca->z || !pca->covariance || !pca->mean) { in ff_pca_init()
62 av_freep(&pca->covariance); in ff_pca_free()
75 pca->covariance[j + i*n] += v[i]*v[j]; in ff_pca_add()
92 pca->covariance[j + i*n] /= pca->count; in ff_pca()
94 pca->covariance[i + j*n] = pca->covariance[j + i*n]; in ff_pca()
96 eigenvalue[j]= pca->covariance[j + j*n]; in ff_pca()
105 sum += fabs(pca->covariance[j + i*n]); in ff_pca()
137 pca->covariance[j + i*n]=0.0; in ff_pca()
[all …]
/dports/multimedia/handbrake/ffmpeg-4.4/libavutil/
H A Dpca.c33 double *covariance; member
50 pca->covariance= av_calloc(n*n, sizeof(double)); in ff_pca_init()
53 if (!pca->z || !pca->covariance || !pca->mean) { in ff_pca_init()
62 av_freep(&pca->covariance); in ff_pca_free()
75 pca->covariance[j + i*n] += v[i]*v[j]; in ff_pca_add()
92 pca->covariance[j + i*n] /= pca->count; in ff_pca()
94 pca->covariance[i + j*n] = pca->covariance[j + i*n]; in ff_pca()
96 eigenvalue[j]= pca->covariance[j + j*n]; in ff_pca()
105 sum += fabs(pca->covariance[j + i*n]); in ff_pca()
137 pca->covariance[j + i*n]=0.0; in ff_pca()
[all …]
/dports/math/mlpack/mlpack-3.4.2/src/mlpack/core/metrics/
H A Dmahalanobis_distance.hpp76 covariance(arma::eye<arma::mat>(dimensionality, dimensionality)) { } in MahalanobisDistance()
84 MahalanobisDistance(arma::mat covariance) : in MahalanobisDistance() argument
85 covariance(std::move(covariance)) { } in MahalanobisDistance()
104 const arma::mat& Covariance() const { return covariance; } in Covariance()
111 arma::mat& Covariance() { return covariance; } in Covariance()
119 arma::mat covariance; member in mlpack::metric::MahalanobisDistance
/dports/lang/racket/racket-8.3/share/pkgs/math-lib/math/private/statistics/
H A Dcorrelation.rkt10 (provide covariance/means
12 covariance
15 (: covariance* (Symbol Real Real (Sequenceof Real) (Sequenceof Real) (Option (Sequenceof Real))
17 (define (covariance* name mx my xs ys ws bias)
31 (adjust-covariance m2 n bias))
33 (: covariance/means (case-> (Real Real (Sequenceof Real) (Sequenceof Real)
37 (define (covariance/means mx my xs ys [ws #f] #:bias [bias #f])
38 (covariance* 'covariance/means mx my xs ys ws bias))
43 (define (covariance xs ys [ws #f] #:bias [bias #f]) function
44 (covariance* 'covariance (mean xs ws) (mean ys ws) xs ys ws bias))
[all …]
/dports/graphics/open3d/Open3D-0.2/src/Core/Geometry/
H A DEstimateNormals.cpp86 Eigen::Matrix3d covariance; in ComputeNormal() local
102 covariance(0, 0) = cumulants(3) - cumulants(0) * cumulants(0); in ComputeNormal()
103 covariance(1, 1) = cumulants(6) - cumulants(1) * cumulants(1); in ComputeNormal()
104 covariance(2, 2) = cumulants(8) - cumulants(2) * cumulants(2); in ComputeNormal()
105 covariance(0, 1) = cumulants(4) - cumulants(0) * cumulants(1); in ComputeNormal()
106 covariance(1, 0) = covariance(0, 1); in ComputeNormal()
107 covariance(0, 2) = cumulants(5) - cumulants(0) * cumulants(2); in ComputeNormal()
108 covariance(2, 0) = covariance(0, 2); in ComputeNormal()
109 covariance(1, 2) = cumulants(7) - cumulants(1) * cumulants(2); in ComputeNormal()
110 covariance(2, 1) = covariance(1, 2); in ComputeNormal()
[all …]
H A DPointCloud.cpp166 Eigen::Matrix3d covariance; in ComputePointCloudMeanAndCovariance() local
170 covariance(0, 0) = cumulants(3) - cumulants(0) * cumulants(0); in ComputePointCloudMeanAndCovariance()
171 covariance(1, 1) = cumulants(6) - cumulants(1) * cumulants(1); in ComputePointCloudMeanAndCovariance()
172 covariance(2, 2) = cumulants(8) - cumulants(2) * cumulants(2); in ComputePointCloudMeanAndCovariance()
173 covariance(0, 1) = cumulants(4) - cumulants(0) * cumulants(1); in ComputePointCloudMeanAndCovariance()
174 covariance(1, 0) = covariance(0, 1); in ComputePointCloudMeanAndCovariance()
176 covariance(2, 0) = covariance(0, 2); in ComputePointCloudMeanAndCovariance()
178 covariance(2, 1) = covariance(1, 2); in ComputePointCloudMeanAndCovariance()
179 return std::make_tuple(mean, covariance); in ComputePointCloudMeanAndCovariance()
187 Eigen::Matrix3d covariance; in ComputePointCloudMahalanobisDistance() local
[all …]
/dports/graphics/py-open3d-python/Open3D-0.2/src/Core/Geometry/
H A DEstimateNormals.cpp86 Eigen::Matrix3d covariance; in ComputeNormal() local
102 covariance(0, 0) = cumulants(3) - cumulants(0) * cumulants(0); in ComputeNormal()
103 covariance(1, 1) = cumulants(6) - cumulants(1) * cumulants(1); in ComputeNormal()
104 covariance(2, 2) = cumulants(8) - cumulants(2) * cumulants(2); in ComputeNormal()
105 covariance(0, 1) = cumulants(4) - cumulants(0) * cumulants(1); in ComputeNormal()
106 covariance(1, 0) = covariance(0, 1); in ComputeNormal()
107 covariance(0, 2) = cumulants(5) - cumulants(0) * cumulants(2); in ComputeNormal()
108 covariance(2, 0) = covariance(0, 2); in ComputeNormal()
109 covariance(1, 2) = cumulants(7) - cumulants(1) * cumulants(2); in ComputeNormal()
110 covariance(2, 1) = covariance(1, 2); in ComputeNormal()
[all …]
H A DPointCloud.cpp166 Eigen::Matrix3d covariance; in ComputePointCloudMeanAndCovariance() local
170 covariance(0, 0) = cumulants(3) - cumulants(0) * cumulants(0); in ComputePointCloudMeanAndCovariance()
171 covariance(1, 1) = cumulants(6) - cumulants(1) * cumulants(1); in ComputePointCloudMeanAndCovariance()
172 covariance(2, 2) = cumulants(8) - cumulants(2) * cumulants(2); in ComputePointCloudMeanAndCovariance()
173 covariance(0, 1) = cumulants(4) - cumulants(0) * cumulants(1); in ComputePointCloudMeanAndCovariance()
174 covariance(1, 0) = covariance(0, 1); in ComputePointCloudMeanAndCovariance()
176 covariance(2, 0) = covariance(0, 2); in ComputePointCloudMeanAndCovariance()
178 covariance(2, 1) = covariance(1, 2); in ComputePointCloudMeanAndCovariance()
179 return std::make_tuple(mean, covariance); in ComputePointCloudMeanAndCovariance()
187 Eigen::Matrix3d covariance; in ComputePointCloudMahalanobisDistance() local
[all …]
/dports/audio/praat/praat-6.2.03/external/gsl/
H A Dgsl_statistics__covariance_source.c21 FUNCTION(compute,covariance) (const BASE data1[], const size_t stride1,
27 FUNCTION(compute,covariance) (const BASE data1[], const size_t stride1,
34 long double covariance = 0 ;
43 covariance += (delta1 * delta2 - covariance) / (i + 1);
46 return covariance ;
55 const double covariance = FUNCTION(compute,covariance) (data1, stride1,
60 return covariance * ((double)n / (double)(n - 1));
64 FUNCTION(gsl_stats,covariance) (const BASE data1[], const size_t stride1,
/dports/math/openturns/openturns-1.18/python/src/
H A DTensorizedCovarianceModel_doc.i.in2 "Multivariate covariance function defined as a tensorization of covariance models.
7 Collection of covariance models :math:`(C_k)_{1 \leq k \leq K}` of dimension :math:`d_k`.
11 The tensorized covariance model defines a multivariate covariance model of dimension :math:`d\geq 1…
12 from the tensorization of a given collection of covariance models.
13 This allows to create a higher dimension covariance model by combining models of smaller dimensions…
15 The input dimension of each covariance model in the collection must be the same.
19 Its covariance function :math:`C : \cD \times \cD \rightarrow \cS_d^+(\Rset)` is defined from the …
30 The amplitude of the covariance function is :math:`\Tr{\sigma} =(\Tr{\sigma}_{1}, \dots, \Tr{\sigma…
32 …^0=(\theta_{k,1}^0,\hdots,\theta_{k,n}^0)` be the initial scale of the covariance model :math:`C_k…
37 Create a tensorized covariance function from the tensorization of an absolute exponential function,…
[all …]
H A DCovarianceModelImplementation_doc.i.in4 Base class for covariance models."
13 "Compute the covariance function for scalar model.
29 covariance : float
60 Container of the cross covariance
65 The cross-covariance is the evaluation of the covariance model
104 covariance matrix:
314 covariance function."
430 covariance function.
445 covariance function.
499 "Evaluate the covariance function.
[all …]

12345678910>>...129