diff --git a/test/sampling.cxx b/test/sampling.cxx index 91a1232..f120abb 100644 --- a/test/sampling.cxx +++ b/test/sampling.cxx @@ -60,23 +60,6 @@ TEST_CASE("Sampling Tests") { Eigen::array bcast = {1, d1, d2, d3}; Eigen::Tensor originalgl = (-s_reshaped.broadcast(bcast)) * rhol_tensor; - std::cout << "aaa" << std::endl; - Eigen::Tensor gl1 = movedim(originalgl, 0, 0); - Eigen::Tensor gtau1 = tau_sampling->evaluate(gl1, 0); - - std::cout << "bbb" << std::endl; - Eigen::Tensor gl2 = movedim(originalgl, 0, 1); - std::cout << "bbb1" << std::endl; - Eigen::Tensor gtau2 = tau_sampling->evaluate(gl2, 1); - - std::cout << "ccc" << std::endl; - Eigen::Tensor gl3 = movedim(originalgl, 0, 2); - Eigen::Tensor gtau3 = tau_sampling->evaluate(gl3, 2); - - std::cout << "ddd" << std::endl; - Eigen::Tensor gl4 = movedim(originalgl, 0, 3); - Eigen::Tensor gtau4 = tau_sampling->evaluate(gl4, 3); - for (int dim = 0; dim < 4; ++dim) { Eigen::Tensor gl = movedim(originalgl, 0, dim); Eigen::Tensor gtau = tau_sampling->evaluate(gl, dim); @@ -85,10 +68,10 @@ TEST_CASE("Sampling Tests") { std::cout << "gtau.dimensions(): " << gtau.dimensions() << std::endl; std::cout << "gl.dimensions(): " << gl.dimensions() << std::endl; - //REQUIRE(gtau.dimension(0) == gl.dimension(0)); - //REQUIRE(gtau.dimension(1) == gl.dimension(1)); - //REQUIRE(gtau.dimension(2) == gl.dimension(2)); - //REQUIRE(gtau.dimension(3) == gl.dimension(3)); + REQUIRE(gtau.dimension(0) == gl.dimension(0)); + REQUIRE(gtau.dimension(1) == gl.dimension(1)); + REQUIRE(gtau.dimension(2) == gl.dimension(2)); + REQUIRE(gtau.dimension(3) == gl.dimension(3)); //Eigen::VectorXd gl_from_tau = tau_sampling->fit(gtau, dim); //REQUIRE(gl_from_tau.isApprox(originalgl, 1e-10)); }