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/umeyama.cpp | |
parent | ca85a1f6c5fc33ac382aa2d7ba2da63d55d3223e (diff) |
bug #86 : use internal:: namespace instead of ei_ prefix
Diffstat (limited to 'test/umeyama.cpp')
-rw-r--r-- | test/umeyama.cpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/test/umeyama.cpp b/test/umeyama.cpp index 6c710bc88..abbb1fc7f 100644 --- a/test/umeyama.cpp +++ b/test/umeyama.cpp @@ -82,7 +82,7 @@ Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixUnitary(int size) } if (max_tries == 0) - ei_assert(false && "randMatrixUnitary: Could not construct unitary matrix!"); + eigen_assert(false && "randMatrixUnitary: Could not construct unitary matrix!"); return Q; } @@ -100,7 +100,7 @@ Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixSpecialUnitary(int si MatrixType Q = randMatrixUnitary<Scalar>(size); // tweak the first column to make the determinant be 1 - Q.col(0) *= ei_conj(Q.determinant()); + Q.col(0) *= internal::conj(Q.determinant()); return Q; } @@ -108,13 +108,13 @@ Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixSpecialUnitary(int si template <typename MatrixType> void run_test(int dim, int num_elements) { - typedef typename ei_traits<MatrixType>::Scalar Scalar; + typedef typename internal::traits<MatrixType>::Scalar Scalar; typedef Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> MatrixX; typedef Matrix<Scalar, Eigen::Dynamic, 1> VectorX; // MUST be positive because in any other case det(cR_t) may become negative for // odd dimensions! - const Scalar c = ei_abs(ei_random<Scalar>()); + const Scalar c = internal::abs(internal::random<Scalar>()); MatrixX R = randMatrixSpecialUnitary<Scalar>(dim); VectorX t = Scalar(50)*VectorX::Random(dim,1); @@ -147,7 +147,7 @@ void run_fixed_size_test(int num_elements) // MUST be positive because in any other case det(cR_t) may become negative for // odd dimensions! - const Scalar c = ei_abs(ei_random<Scalar>()); + const Scalar c = internal::abs(internal::random<Scalar>()); FixedMatrix R = randMatrixSpecialUnitary<Scalar>(dim); FixedVector t = Scalar(50)*FixedVector::Random(dim,1); @@ -175,7 +175,7 @@ void test_umeyama() { for (int i=0; i<g_repeat; ++i) { - const int num_elements = ei_random<int>(40,500); + const int num_elements = internal::random<int>(40,500); // works also for dimensions bigger than 3... for (int dim=2; dim<8; ++dim) |