Compilation Guide CMake

These instructions assume you have CMake, a modern C compiler, and Conda installed with Conda set up and ready to go. Bertini is developed on MacOS and Linux, these instructions have not been tested on Windows

1. Use a package manager to install relevant packages. We recommend Conda because it has all of the packages in one spot with the right versions.

   a. With conda: conda activate, conda install gmp mpfr automake autoconf libtool boost eigen conda-forge::libboost-python numpy. Your system also needs the build-essential package, it is likely installed by default.

   b. With another packager manager: $PACKAGE_MANAGER install gmp mpfr automake autoconf libtool boost eigen boost-python3 build-essential, pip install numpy. You will likely have to hunt for versioning issues and install methods inconsistencies if you choose this method.

2. git clone https://github.com/bertiniteam/b2 && cd b2/core

3. mkdir build && cd build

4. cmake .. -DCMAKE_PREFIX_PATH=$CONDA_PREFIX # The prefix is only necessary if built with cmake

5. make install

   a. If your computer can handle the heat, try instead make install -j x, where x = a number dictating how much resources are dedicated towards compiling. It makes compiling much faster. A modern 32GB Ram laptop can comfortably run -j 4 =. 3 is a good starting point

If you just want the core software for use with C++, you can stop here. If you want to use Bertini2 with Python, keep going

1. cd ../../python

2. conda install conda-forge::eigenpy

3. mkdir build && cd build

4. cmake .. -DCMAKE_PREFIX_PATH=$CONDA_PREFIX # The prefix is only necessary if built with cmake

5. make install

   a. See note on previous make install step

6. cd ..

7. pip install .

8. Profit