Manodeep Sinha

Hi @kakirastern - sure thing - please go ahead. I would recommend creating one for the `Corrfunc/mocks/DDtheta_mocks` to get yourself familiar with calculations with on-sky angular separations.

CC @parejkoj @bsipocz

@kakirastern Thanks for your continued interest - your contributions are very welcome. Let's go for the advanced method - that will have several benefits: - reduces the total amount of...

Thank you for letting me know. Just in case this is not clear, you are *doing us* a favour - so please feel free to work at it on your...

@kakirastern Can you come up with a strategy (using decorators) that loops over the relevant angular/spatial dimensions and then finds the fastest runtime? Perhaps create some toy "decorated" functions to...

Great! Would it be easier if you open up a gist (gist.github.com/) with a Jupyter notebook? That way wemight be able to help (or ask for help as the case...

Thanks for the update. Please let me know if I can help with the planning/design phase...

Sounds good. For starters, do you mind setting up a jupyter notebook containing these three functions: - a function with some keywords, + with `xyz_binrefs` - a function with some...

@kakirastern Great work - that's fantastic. Can you try with each of `DD, DDrppi, DDsmu, wp, xi, vpf` and `DDrppi_mocks, DDsmu_mocks, DDtheta_mocks, vpf_mocks` and probe whether each one of those...

Perfect! And you can test that the output of this decorated function matches the output from the existing `find_fastest_wp*` and the `find_fastest_DDtheta*` routines. Thanks again - this looks awesome!