so file into the directory Pyleoclim_util/pyleoclim/utils where Pyleoclim is installed on your machine. so file will be generated if the compilation is successfulĬopy the. One may also edit the Makefile to use ifort as the compiler to achieve further acceleration just comment out the line for gfortran and use the line for ifort belowĪ. Go to the directory Pyleoclim_util/pyleoclim/f2py, and then type make to compile the. Check that conda installs the latest version, if not try installing in a new clean conda environment. gfortran or ifort) is required on your local machine, and the related Fortran source code should be compiled locally following the steps below:ĭownload the source code, either via git clone or just download the. conda install-c conda-forge camb with no need for a Fortran compiler (unless you want to use custom sources/symbolic compilation features). performing it for hundreds of times on timeseries with length longer than 1000 points), in which case we recommend activating the f2py feature to achieve an acceleration of around 50%. However, it could be slow for heavy use (e.g. It is fast enough for lightweight spectral & wavelet analysis tasks, in which case we recommend using the default installation.
The default version of WWZ that comes with the installation steps mentioned above is relying on Numba. Building from source for the f2py feature of WWZ
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