| /external/ImageMagick/Magick++/tests/ |
| D | attributes.cpp | 40 cout << "Line: " << __LINE__ << ", textAntiAlias default not true" << endl; in main()
48 cout << "Line: " << __LINE__ << ", textAntiAlias not false" << endl; in main()
56 cout << "Line: " << __LINE__ << ", textAntiAlias not true" << endl; in main()
68 << ", adjoin default not 'true' as expected" << endl; in main()
76 cout << "Line: " << __LINE__ << ", adjoin failed set to 'false'" << endl; in main()
84 cout << "Line: " << __LINE__ << ", adjoin failed set to 'true'" << endl; in main()
97 << ") not 0 as expected" << endl; in main()
106 << ", failed to set animationDelay to 0" << endl; in main()
115 << ", failed to set animationDelay to 100" << endl; in main()
130 << ") not 0 as expected" << endl; in main()
[all …]
|
| /external/eigen/doc/examples/ |
| D | TutorialInplaceLU.cpp | 3 init() { std::cout << "[" << "init" << "]" << std::endl; } in init()
17 cout << "Here is the input matrix A before decomposition:\n" << A << endl; in main()
18 cout << "[init]" << endl; in main()
20 cout << "[declaration]" << endl; in main()
22 cout << "Here is the input matrix A after decomposition:\n" << A << endl; in main()
23 cout << "[declaration]" << endl; in main()
25 cout << "[matrixLU]" << endl; in main()
26 cout << "Here is the matrix storing the L and U factors:\n" << lu.matrixLU() << endl; in main()
27 cout << "[matrixLU]" << endl; in main()
29 cout << "[solve]" << endl; in main()
[all …]
|
| D | Tutorial_ArrayClass_interop_matrix.cpp | 19 cout << "-- Matrix m*n: --" << endl << result << endl << endl; in main()
21 cout << "-- Array m*n: --" << endl << result << endl << endl; in main()
23 cout << "-- With cwiseProduct: --" << endl << result << endl << endl; in main()
25 cout << "-- Array m + 4: --" << endl << result << endl << endl; in main()
|
| /external/ImageMagick/Magick++/demo/ |
| D | demo.cpp | 43 cout << "Read images ..." << endl; in main()
57 cout << "Creating thumbnails..." << endl; in main()
73 cout << " add noise ..." << endl; in main()
78 cout << " add noise (blue) ..." << endl; in main()
83 cout << " annotate ..." << endl; in main()
94 cout << " blur ..." << endl; in main()
100 cout << " blur red channel ..." << endl; in main()
106 cout << " border ..." << endl; in main()
113 cout << " channel ..." << endl; in main()
119 cout << " charcoal ..." << endl; in main()
[all …]
|
| /external/eigen/doc/snippets/ |
| D | ComplexEigenSolver_compute.cpp | 2 cout << "Here is a random 4x4 matrix, A:" << endl << A << endl << endl;
6 cout << "The eigenvalues of A are:" << endl << ces.eigenvalues() << endl;
7 cout << "The matrix of eigenvectors, V, is:" << endl << ces.eigenvectors() << endl << endl;
10 cout << "Consider the first eigenvalue, lambda = " << lambda << endl;
12 cout << "If v is the corresponding eigenvector, then lambda * v = " << endl << lambda * v << endl;
13 cout << "... and A * v = " << endl << A * v << endl << endl;
15 cout << "Finally, V * D * V^(-1) = " << endl
16 << ces.eigenvectors() * ces.eigenvalues().asDiagonal() * ces.eigenvectors().inverse() << endl;
|
| D | SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType2.cpp | 3 cout << "Here is a random symmetric matrix, A:" << endl << A << endl;
6 cout << "and a random postive-definite matrix, B:" << endl << B << endl << endl;
9 cout << "The eigenvalues of the pencil (A,B) are:" << endl << es.eigenvalues() << endl;
10 cout << "The matrix of eigenvectors, V, is:" << endl << es.eigenvectors() << endl << endl;
13 cout << "Consider the first eigenvalue, lambda = " << lambda << endl;
15 cout << "If v is the corresponding eigenvector, then A * v = " << endl << A * v << endl;
16 cout << "... and lambda * B * v = " << endl << lambda * B * v << endl << endl;
|
| D | SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.cpp | 3 cout << "Here is a random symmetric 5x5 matrix, A:" << endl << A << endl << endl;
6 cout << "The eigenvalues of A are:" << endl << es.eigenvalues() << endl;
7 cout << "The matrix of eigenvectors, V, is:" << endl << es.eigenvectors() << endl << endl;
10 cout << "Consider the first eigenvalue, lambda = " << lambda << endl;
12 cout << "If v is the corresponding eigenvector, then lambda * v = " << endl << lambda * v << endl;
13 cout << "... and A * v = " << endl << A * v << endl << endl;
17 cout << "Finally, V * D * V^(-1) = " << endl << V * D * V.inverse() << endl;
|
| D | EigenSolver_EigenSolver_MatrixType.cpp | 2 cout << "Here is a random 6x6 matrix, A:" << endl << A << endl << endl;
5 cout << "The eigenvalues of A are:" << endl << es.eigenvalues() << endl;
6 cout << "The matrix of eigenvectors, V, is:" << endl << es.eigenvectors() << endl << endl;
9 cout << "Consider the first eigenvalue, lambda = " << lambda << endl;
11 cout << "If v is the corresponding eigenvector, then lambda * v = " << endl << lambda * v << endl;
12 cout << "... and A * v = " << endl << A.cast<complex<double> >() * v << endl << endl;
16 cout << "Finally, V * D * V^(-1) = " << endl << V * D * V.inverse() << endl;
|
| D | HouseholderSequence_HouseholderSequence.cpp | 2 cout << "The matrix v is:" << endl;
3 cout << v << endl;
6 cout << "The first Householder vector is: v_0 = " << v0.transpose() << endl;
8 cout << "The second Householder vector is: v_1 = " << v1.transpose() << endl;
10 cout << "The third Householder vector is: v_2 = " << v2.transpose() << endl;
13 cout << "The Householder coefficients are: h = " << h.transpose() << endl;
16 cout << "The first Householder reflection is represented by H_0 = " << endl;
17 cout << H0 << endl;
19 cout << "The second Householder reflection is represented by H_1 = " << endl;
20 cout << H1 << endl;
[all …]
|
| D | DirectionWise_hnormalized.cpp | 4 cout << "The matrix M is:" << endl << M << endl << endl;
5 cout << "M.colwise().hnormalized():" << endl << M.colwise().hnormalized() << endl << endl;
6 cout << "P*M:" << endl << P*M << endl << endl;
7 cout << "(P*M).colwise().hnormalized():" << endl << (P*M).colwise().hnormalized() << endl << endl;
|
| D | VectorwiseOp_homogeneous.cpp | 4 cout << "The matrix M is:" << endl << M << endl << endl;
5 cout << "M.colwise().homogeneous():" << endl << M.colwise().homogeneous() << endl << endl;
6 cout << "P * M.colwise().homogeneous():" << endl << P * M.colwise().homogeneous() << endl << endl;
7 …().homogeneous().hnormalized(): " << endl << (P * M.colwise().homogeneous()).colwise().hnormalized…
|
| D | JacobiSVD_basic.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
4 cout << "Its singular values are:" << endl << svd.singularValues() << endl;
5 …"Its left singular vectors are the columns of the thin U matrix:" << endl << svd.matrixU() << endl;
6 …Its right singular vectors are the columns of the thin V matrix:" << endl << svd.matrixV() << endl;
8 cout << "Now consider this rhs vector:" << endl << rhs << endl;
9 cout << "A least-squares solution of m*x = rhs is:" << endl << svd.solve(rhs) << endl;
|
| D | Vectorwise_reverse.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
3 cout << "Here is the rowwise reverse of m:" << endl << m.rowwise().reverse() << endl;
4 cout << "Here is the colwise reverse of m:" << endl << m.colwise().reverse() << endl;
6 cout << "Here is the coefficient (1,0) in the rowise reverse of m:" << endl
7 << m.rowwise().reverse()(1,0) << endl;
8 cout << "Let us overwrite this coefficient with the value 4." << endl;
10 cout << "Now the matrix m is:" << endl << m << endl;
|
| D | Tridiagonalization_diagonal.cpp | 3 cout << "Here is a random self-adjoint 4x4 matrix:" << endl << A << endl << endl;
7 cout << "The tridiagonal matrix T is:" << endl << T << endl << endl;
9 cout << "We can also extract the diagonals of T directly ..." << endl;
11 cout << "The diagonal is:" << endl << diag << endl;
13 cout << "The subdiagonal is:" << endl << subdiag << endl;
|
| D | RealSchur_RealSchur_MatrixType.cpp | 2 cout << "Here is a random 6x6 matrix, A:" << endl << A << endl << endl;
5 cout << "The orthogonal matrix U is:" << endl << schur.matrixU() << endl;
6 cout << "The quasi-triangular matrix T is:" << endl << schur.matrixT() << endl << endl;
10 cout << "U * T * U^T = " << endl << U * T * U.transpose() << endl;
|
| D | TopicAliasing_cwise.cpp | 3 cout << "Here is the matrix mat:\n" << mat << endl << endl;
6 cout << "After 'mat = 2 * mat', mat = \n" << mat << endl << endl;
10 cout << "After the subtraction, it becomes\n" << mat << endl << endl;
15 cout << "After squaring, it becomes\n" << arr << endl << endl;
20 cout << "Doing everything at once yields\n" << mat << endl << endl;
|
| D | Tridiagonalization_Tridiagonalization_MatrixType.cpp | 3 cout << "Here is a random symmetric 5x5 matrix:" << endl << A << endl << endl;
6 cout << "The orthogonal matrix Q is:" << endl << Q << endl;
8 cout << "The tridiagonal matrix T is:" << endl << T << endl << endl;
9 cout << "Q * T * Q^T = " << endl << Q * T * Q.transpose() << endl;
|
| /external/gemmlowp/meta/ |
| D | streams.h | 127 << leftovers << std::endl; in Pack()
131 std::cerr << "FATAL: RowMajorWithSum::Pack not implemented." << std::endl; in Pack()
158 std::cout << "RowMajor(" << typeid(InType).name() << ")" << std::endl; in Debug()
160 << leftovers << std::endl; in Debug()
161 std::cout << " scratch: " << Scratch(params) << std::endl; in Debug()
162 std::cout << " unpacked advance: " << UnpackedAdvance(params) << std::endl; in Debug()
163 std::cout << " packed advance: " << PackedAdvance(params) << std::endl; in Debug()
164 std::cout << " unpacked stride: " << UnpackedStride(params) << std::endl; in Debug()
165 std::cout << " packed stride: " << PackedStride(params) << std::endl; in Debug()
166 std::cout << " params:" << std::endl; in Debug()
[all …]
|
| D | quantized_mul_kernels.h | 47 << "x" << k << std::endl; in Multiply()
52 << "implemented." << std::endl; in Multiply()
63 << std::endl; in Debug()
64 std::cout << " params:" << std::endl; in Debug()
66 << params.kernel.multiplicative_offset << std::endl; in Debug()
68 << std::endl; in Debug()
69 std::cout << " kernel.shift: " << params.kernel.shift << std::endl; in Debug()
70 std::cout << " kernel.count: " << params.kernel.count << std::endl; in Debug()
72 << std::endl; in Debug()
96 << "x" << k << std::endl; in Multiply()
[all …]
|
| /external/eigen/bench/btl/data/ |
| D | mean.cxx | 109 cout << "<TABLE BORDER CELLPADDING=2>" << endl ; in main()
110 cout << " <TR>" << endl ; in main()
111 cout << " <TH ALIGN=CENTER> " << argv[1] << " </TH>" << endl ; in main()
112 …TH ALIGN=CENTER> <a href=""#mean_marker""> in cache <BR> mean perf <BR> Mflops </a></TH>" << endl ; in main()
113 cout << " <TH ALIGN=CENTER> in cache <BR> % best </TH>" << endl ; in main()
114 …LIGN=CENTER> <a href=""#mean_marker""> out of cache <BR> mean perf <BR> Mflops </a></TH>" << endl ; in main()
115 cout << " <TH ALIGN=CENTER> out of cache <BR> % best </TH>" << endl ; in main()
116 cout << " <TH ALIGN=CENTER> details </TH>" << endl ; in main()
117 cout << " <TH ALIGN=CENTER> comments </TH>" << endl ; in main()
118 cout << " </TR>" << endl ; in main()
[all …]
|
| /external/eigen/unsupported/doc/examples/ |
| D | PolynomialSolver1.cpp | 13 cout << "Roots: " << roots.transpose() << endl; in main()
18 cout << "Complex roots: " << psolve.roots().transpose() << endl; in main()
23 cout << "Real roots: " << mapRR.transpose() << endl; in main()
25 cout << endl; in main()
26 cout << "Illustration of the convergence problem with the QR algorithm: " << endl; in main()
27 cout << "---------------------------------------------------------------" << endl; in main()
31 cout << "Hard case polynomial defined by floats: " << hardCase_polynomial.transpose() << endl; in main()
33 cout << "Complex roots: " << psolvef.roots().transpose() << endl; in main()
36 …< "Norms of the evaluations of the polynomial at the roots: " << evals.transpose() << endl << endl; in main()
38 cout << "Using double's almost always solves the problem for small degrees: " << endl; in main()
[all …]
|
| /external/libcxxabi/test/ |
| D | test_fallback_malloc.pass.cpp | 73 std::cout << "Constant exhaustion tests" << std::endl; in exhaustion_test1()
77 std::cout << "Allocated " << ptrs.size () << " 32 byte chunks" << std::endl; in exhaustion_test1()
82 std::cout << "----" << std::endl; in exhaustion_test1()
86 std::cout << "Allocated " << ptrs.size () << " 32 byte chunks" << std::endl; in exhaustion_test1()
90 std::cout << "----" << std::endl; in exhaustion_test1()
94 std::cout << "Allocated " << ptrs.size () << " 32 byte chunks" << std::endl; in exhaustion_test1()
104 std::cout << "Growing exhaustion tests" << std::endl; in exhaustion_test2()
108 …:cout << "Allocated " << ptrs.size () << " { 32, 48, 72, 108, 162 ... } byte chunks" << std::endl; in exhaustion_test2()
113 std::cout << "----" << std::endl; in exhaustion_test2()
118 …:cout << "Allocated " << ptrs.size () << " { 32, 48, 72, 108, 162 ... } byte chunks" << std::endl; in exhaustion_test2()
[all …]
|
| /external/eigen/unsupported/bench/ |
| D | bench_svd.cpp | 42 cout << " Only compute Singular Values" <<endl; in bench_svd()
61 cout << " || " << " BDC : " << timerBDC.value() << "s " <<endl <<endl; in bench_svd()
64 …< "KO : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl; in bench_svd()
66 …< "OK : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl; in bench_svd()
69 cout << " =================" <<endl; in bench_svd()
70 std::cout<< std::endl; in bench_svd()
73 cout << " Computes rotaion matrix" <<endl; in bench_svd()
92 cout << " || " << " BDC : " << timerBDC.value() << "s " <<endl <<endl; in bench_svd()
95 …< "KO : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl; in bench_svd()
97 …< "OK : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl; in bench_svd()
[all …]
|
| /external/eigen/bench/ |
| D | benchmark-blocking-sizes.cpp | 234 cout << "contents of /proc/cpuinfo:" << endl; in print_cpuinfo()
239 cout << line << endl; in print_cpuinfo()
243 cout << endl; in print_cpuinfo()
245 cout << "output of sysctl hw:" << endl; in print_cpuinfo()
247 cout << endl; in print_cpuinfo()
279 cerr << "usage: " << argv[0] << " <action> [options...]" << endl << endl; in show_usage_and_exit()
280 cerr << "available actions:" << endl << endl; in show_usage_and_exit()
282 cerr << " " << (*it)->invokation_name() << endl; in show_usage_and_exit()
284 cerr << endl; in show_usage_and_exit()
285 cerr << "options:" << endl << endl; in show_usage_and_exit()
[all …]
|
| /external/webrtc/webrtc/modules/audio_coding/neteq/test/ |
| D | audio_classifier_test.cc | 27 << std::endl << std::endl; in main()
31 << std::endl; in main()
33 << std::endl; in main()
40 std::cout << "Disallowed number of channels " << channels << std::endl; in main()
46 std::cout << "Disallowed number of outputs " << outputs << std::endl; in main()
56 std::cout << "Input file: " << input_filename << std::endl; in main()
57 std::cout << "Output file: " << output_filename << std::endl; in main()
61 std::cout << "Cannot open input file " << input_filename << std::endl; in main()
67 std::cout << "Cannot open output file " << output_filename << std::endl; in main()
78 std::cout << "Error writing." << std::endl; in main()
[all …]
|