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Unofficial python wrapper to the nanoflann k-d tree

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First thanks for this great tool. I'm a little confused by the radius parameter: `nn = pynanoflann.KDTree(n_neighbors=5, metric='L1', radius=100)` It seems like I can set this to a tiny value...

Do you have any plans to add pynanoflann to pypi to make it easier to include in other projects? I've made some updates and written a GitHub workflow to build...

Hello, Thanks for this great tool. I try to use your code, and I realize that there is no specific package named 'nanoflann_ext' in `import nanoflann_ext`. Can I get some...

I've added a root_dist flag that allow the distances returned from nanoflann to stay squared even when using a L2 norm. I've also added 2 tests to verify the addition...