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-# napf
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
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+**napf - [nanoflann](https://github.com/jlblancoc/nanoflann) wrappers for python and maybe fortran**
+
[](https://github.com/tataratat/napf/actions/workflows/main.yml)
[](https://badge.fury.io/py/napf)
-[nanoflann](https://github.com/jlblancoc/nanoflann) wrappers for python and maybe fortran.
## python
As `nanoflann` offers template classes, separate classes are implemented in `napf` for each ___{datatype, distance metric}___. All the search functions are equipped with multi-thread execution. Uses [numpy.ndarray](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html) for data input and output.