add log kernel

experimental/examples/direct_computation.cpp

@@ -80,7 +80,7 @@
 //! <b>examples</b>
 //!  * Onve over r2 in dimension 2
 //!  \code
-//!   ./direct_computation -fin input_2d_file.fma  --kernel 4 --dimension 2  -fout res.fma
+//!   ./direct_computation --input-file  input_2d_file.fma  --kernel 4 --dimension 2  --output-fil res.fma
 //!  \endcode
 //! file-name.{fma, bfma} \endcode
 namespace local_args
@@ -88,12 +88,12 @@ namespace local_args
     struct newmatrix_kernel : public laplace::args::matrix_kernel
     {
         const char* description = "Matrix kernels: \n   0 1/r, 1) grad(1/r), 2) p & grad(1/r) 3) shift grad,\n"
-                                  "4) 1/r^2";
+                                  "4) 1/r^2  5) ln in 2d ";
     };
-    struct dimension
+    struct dimension : inria::tcli::required_tag
     {
         inria::tcli::str_vec flags = {"--dimension", "--d"};
-        const char* description = "Dimension : \n   (2 or 3 except for kernel 4  1 <dimension <4";
+        const char* description = "Dimension : \n  -  1 <dimension <4";
         using type = int;
         type def = 1;
     };
@@ -103,9 +103,6 @@ auto direct_run(const std::string& input_file, const std::string& output_file, c
 {
     using value_type = double;
 
-    //
-    // command_line_parameters params(args::cli);
-
     std::cout << scalfmm::colors::blue << "Entering tree test...\n" << scalfmm::colors::reset;
 
     if(!input_file.empty())
@@ -126,7 +123,7 @@ auto direct_run(const std::string& input_file, const std::string& output_file, c
     //
     // Open particle file
 
-    scalfmm::utils::timer<std::chrono::seconds> time{};
+    scalfmm::utils::timer<std::chrono::minutes> time{};
 
     using point_type = scalfmm::container::point<value_type, dimension>;
     using particle_type =
@@ -142,6 +139,7 @@ auto direct_run(const std::string& input_file, const std::string& output_file, c
     point_type box_center{};
     time.tic();
     container_type* container{};
+    // read the data (pos and inputs). The outputs are set to zeros.
     laplace::read_data<dimension>(input_file, container, box_center, box_width);
     time.tac();
     const std::size_t number_of_particles = std::get<0>(container->size());
@@ -159,7 +157,7 @@ auto direct_run(const std::string& input_file, const std::string& output_file, c
 
     time.tac();
     std::cout << scalfmm::colors::green << "... Done.\n" << scalfmm::colors::reset;
-    std::cout << scalfmm::colors::yellow << "Computation done in " << time.elapsed() << " s\n"
+    std::cout << scalfmm::colors::yellow << "Computation done in " << time.elapsed() << " min\n"
               << scalfmm::colors::reset;
 
     if(postreat)
@@ -281,10 +279,12 @@ auto main([[maybe_unused]] int argc, [[maybe_unused]] char* argv[]) -> int
         //            std::cerr << "Dimension should be lower than 5 (d < 5)\n";
         //            std::exit(EXIT_FAILURE);
         //        }
+    case 5:
+        direct_run<2, scalfmm::matrix_kernels::laplace::ln_2d>(input_file, output_file, postreat);
         break;
     default:
         std::cout << "Kernel not implemented. values are\n Laplace kernels: 0) 1/r, 1) grad(1/r),"
                   << " 2) p + grad(1/r) 3) like_mrhs." << std::endl
-                  << "Scalar kernels 4) 1/r^2 " << std::endl;
+                  << "Scalar kernels 4) 1/r^2 5) ln in 2d" << std::endl;
     }
 }