diff options
author | Benoit Jacob <jacob.benoit.1@gmail.com> | 2010-10-25 10:15:22 -0400 |
---|---|---|
committer | Benoit Jacob <jacob.benoit.1@gmail.com> | 2010-10-25 10:15:22 -0400 |
commit | 4716040703be1ee906439385d20475dcddad5ce3 (patch) | |
tree | 8efd3cf3007d8360e66f38e2d280127cbb70daa6 /test/jacobisvd.cpp | |
parent | ca85a1f6c5fc33ac382aa2d7ba2da63d55d3223e (diff) |
bug #86 : use internal:: namespace instead of ei_ prefix
Diffstat (limited to 'test/jacobisvd.cpp')
-rw-r--r-- | test/jacobisvd.cpp | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/test/jacobisvd.cpp b/test/jacobisvd.cpp index 79a05b368..681852ffa 100644 --- a/test/jacobisvd.cpp +++ b/test/jacobisvd.cpp @@ -94,7 +94,7 @@ void jacobisvd_solve(const MatrixType& m, unsigned int computationOptions) typedef Matrix<Scalar, RowsAtCompileTime, Dynamic> RhsType; typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType; - RhsType rhs = RhsType::Random(rows, ei_random<Index>(1, cols)); + RhsType rhs = RhsType::Random(rows, internal::random<Index>(1, cols)); JacobiSVD<MatrixType, QRPreconditioner> svd(m, computationOptions); SolutionType x = svd.solve(rhs); // evaluate normal equation which works also for least-squares solutions @@ -230,11 +230,11 @@ void jacobisvd_inf_nan() svd.compute(MatrixType::Constant(10,10,some_nan), ComputeFullU | ComputeFullV); MatrixType m = MatrixType::Zero(10,10); - m(ei_random<int>(0,9), ei_random<int>(0,9)) = some_inf; + m(internal::random<int>(0,9), internal::random<int>(0,9)) = some_inf; svd.compute(m, ComputeFullU | ComputeFullV); m = MatrixType::Zero(10,10); - m(ei_random<int>(0,9), ei_random<int>(0,9)) = some_nan; + m(internal::random<int>(0,9), internal::random<int>(0,9)) = some_nan; svd.compute(m, ComputeFullU | ComputeFullV); } @@ -267,8 +267,8 @@ void test_jacobisvd() CALL_SUBTEST_5(( jacobisvd<Matrix<float,3,5> >() )); CALL_SUBTEST_6(( jacobisvd<Matrix<double,Dynamic,2> >(Matrix<double,Dynamic,2>(10,2)) )); - int r = ei_random<int>(1, 30), - c = ei_random<int>(1, 30); + int r = internal::random<int>(1, 30), + c = internal::random<int>(1, 30); CALL_SUBTEST_7(( jacobisvd<MatrixXf>(MatrixXf(r,c)) )); CALL_SUBTEST_8(( jacobisvd<MatrixXcd>(MatrixXcd(r,c)) )); (void) r; @@ -278,8 +278,8 @@ void test_jacobisvd() CALL_SUBTEST_7( jacobisvd_inf_nan<MatrixXf>() ); } - CALL_SUBTEST_7(( jacobisvd<MatrixXf>(MatrixXf(ei_random<int>(100, 150), ei_random<int>(100, 150))) )); - CALL_SUBTEST_8(( jacobisvd<MatrixXcd>(MatrixXcd(ei_random<int>(80, 100), ei_random<int>(80, 100))) )); + CALL_SUBTEST_7(( jacobisvd<MatrixXf>(MatrixXf(internal::random<int>(100, 150), internal::random<int>(100, 150))) )); + CALL_SUBTEST_8(( jacobisvd<MatrixXcd>(MatrixXcd(internal::random<int>(80, 100), internal::random<int>(80, 100))) )); // test matrixbase method CALL_SUBTEST_1(( jacobisvd_method<Matrix2cd>() )); |