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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
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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 thebuild-essential
package, it is likely installed by default.b. With another packager manager:
$PACKAGE_MANAGER install gmp mpfr automake autoconf libtool boost eigen boost-python3 build-essential
,pip install numpy
. You will likely have to hunt for versioning issues and install methods inconsistencies if you choose this method. -
git clone https://github.com/bertiniteam/b2 && cd b2/core
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mkdir build && cd build
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cmake .. -DCMAKE_PREFIX_PATH=$CONDA_PREFIX # The prefix is only necessary if built with cmake
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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
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cd ../../python
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conda install conda-forge::eigenpy
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mkdir build && cd build
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cmake .. -DCMAKE_PREFIX_PATH=$CONDA_PREFIX # The prefix is only necessary if built with cmake
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make install
a. See note on previous make install step
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cd ..
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pip install .
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Profit