Update README.md

README.md

@@ -19,9 +19,10 @@ There are several implementations in the src directory:
 
 In addition there is
   * bin - An executable l2c that can run various tests
+  * results - Bash and Python files that can be used to recreate the figures in the paper above. They have obvious names, like table1.py. Note that the bash-files have precomputed data included and if you want to recompute something, then you need to open these files and modify at the top. For example, modify `rerun_fmm="no"` to `rerun_fmm="yes"` in order to rerun the results for the faster multipole method described in the paper.
 
 # Installation
-The code is set up to be compiled with the [meson](https://mesonbuild.com) build system. It should work by cloning this repository and then
+The code is set up to be compiled with the [meson](https://mesonbuild.com) build system. If all dependencies are easily found, then it should work by cloning this repository and then
 
     cd src
     meson setup build
@@ -35,13 +36,32 @@ The installation can be tested with
 
     meson test -C build
 
+Note that the instructions above assume that all dependencies are found. For the C code there are only a few requirements besides meson itself, and that is basically BLAS and FFTW. For the rest see `l2cacc.yml` and `l2copenblas.yml` for two lists of dependencies, where the first makes use of the Accelerate framework and native compilers on a MacBook Pro M3. The `l2copenblas.yml` is more generic and pulls in everything from Conda, including compilers and OpenBlas. You can set up the environment using
+
+    conda env --create -f l2copenblas.yml
+    conda activate l2copenblas
+
+You should then
+
+    cd src
+    ./build_meson.sh
+    export PATH=$PWD/build-install/bin:$PATH
+    export LD_LIBRARY_PATH=$PWD/build-install/lib:$LD_LIBRARY_PATH
+
+and you should then be ready to run the l2c executable, for example
+
+    l2c -N512 -d2
+
+to run a L2C followed by a C2L, checking for accuracy.
+
 # Codespace
-Another simple way to test this code is to create a codespace. The environment.yml file in the root folder will then make sure that the codespace creates a conda environment with all necessary dependencies already built. Just press the codespace button and wait awhile for the environment to build. Then enable the environment and run some tests or test the executable `l2c`
+Another simple way to test this code is to create a codespace. The l2copenblas.yml file in the root folder will then make sure that the codespace creates a conda environment with all necessary dependencies, including OpenBlas and FFTW, already installed. Just press the codespace button and wait awhile for the environment to build. Then enable the environment and run some tests or test the executable `l2c`
 
-     source activate ./venv
+     bash # Create new terminal that is set up to run l2c
      cd src
-     meson setup build --prefix=$PWD/build-install --includedir=$CONDA_PREFIX/include --libdir=$CONDA_PREFIX/lib
-     meson install -C build
-     export PATH=$PWD/build-install/bin:$PATH
      l2c -N1000 -d2 # runs a forward and backward transform and computes the error for an array of length 1000
      meson test -C build # runs all the tests
+     cd results
+     python table1.py # Create Table 1 in the paper
+     python figure3.py # Create Figure 3 in the paper
+     etc..