nanoflann python bindings for kdtree.
Project description
napf
nanoflann
wrappers for python and maybe fortran.
python
As nanoflann
offers template classes, separate classes are implemented in napf
for each {datatype, data dimension, distance metric}. All the search functions are equipped with multi-thread execution. Uses numpy.ndarray
for data input and output.
Currently, the combinations of following options are supported:
data type
: {double, float, int, long} (corresponds to {np.float64, np.float32, np.int32, np.int64})data dimension
: {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20}distance metric
: {L1, L2} Note that functions return squared distances, when you use the L2 metric.
quick start
install with pip:
pip install --upgrade pip
pip install napf
Note: in case your system requires a dynamic build, you need a c++11 compatible c++ compiler. To make sure a correct compiler is chosen, set export CC=<your-c-compiler> CXX=<your-c++-compiler>
import napf
import numpy as np
data = <data in 2D array>
queries = <query points in 2D array>
kdt = napf.KDT(tree_data=data, metric=1)
indices, distances = kdt.knn_search(
queries=queries,
kneighbors=3,
nthread=4,
)
...
fortran
maybe...
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BLAKE2b-256 | f73bb09563645b1f1137a9bb65bbd0c07470b6d3b3361f148c35af8bec167af6 |
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Hashes for napf-0.0.5-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | be2b536ddd3f0862ce33ea87646ab815a80b428063b75d30e3c3b08307730312 |
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MD5 | e645ca9fc7364e7a29c00e2ab349de19 |
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BLAKE2b-256 | 28ac46cb31c0283a707cd955148f7a8dfbd82283a2c1cac29ce9d17fe7132425 |
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Hashes for napf-0.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 5a02798ce09a4eb0951ab1325ba7a0eb3caa4773e063aeb8c594feb7a7fadb10 |
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MD5 | b1d9247b07966df165a236c543c59864 |
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BLAKE2b-256 | f262c1638eda0d9621b5eadeaacb0957271f7b3118eeecb2fb4003ee5c76196d |
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Hashes for napf-0.0.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm | Hash digest | |
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SHA256 | 6b77893b5efa3bfe6f91e01c62861e7e6bf0822675bc6acf77001d654f20f6fc |
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MD5 | 757ed3a8d2af1cf7fa081e04d73dc21d |
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BLAKE2b-256 | a9633cab35f2452c28f31d1545515a9ac055f8c13295abc03c7250b84bb50cf9 |
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Hashes for napf-0.0.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | e7692fdb2370cc0debd2c07093d39b5355cc2c6e12c507e0bffe72162f3776a3 |
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MD5 | dbd0ba52ac579b8d5c2cb27cda0b9605 |
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BLAKE2b-256 | dfbea4fe3d1e8616491d10a6bd15b570c0a0c643de0779e7b4b4e8effe8b97a3 |
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Hashes for napf-0.0.5-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 5cc06da221d352fa5f1513dabc42ad69168c10c29af7e9dd0b6f6f4a7fadc1ca |
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MD5 | d9b9919a75cc92874aab08c34a58427b |
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BLAKE2b-256 | d182f7de9e0c2b4b46ce0a4e3394f218a4b75ab184bfd1a347459ab8ba25eb32 |
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Hashes for napf-0.0.5-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 9265984f7581f97e872cac943c7eb01a2727c57fa6748ef2ce7f941a4410a29e |
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MD5 | caf6598368a199062330f8f4fa664ce0 |
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BLAKE2b-256 | e3f3430e0582fb3e941ec995cf23c00201c56c2d0105aed7469234999f9eedca |
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Hashes for napf-0.0.5-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 9970427d5494354bdd6546502431acfb9c4e4df643991efdb21c38bad6186ff0 |
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MD5 | dca89849d3674be7489920786f81fc33 |
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BLAKE2b-256 | 267572ea9317a4570c9fea097b83d401924b1e41b372a3f4569e2af27d2b4ec1 |
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Hashes for napf-0.0.5-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 888617eaf4af9f62fa7f224b64651957d1cb21481297606dea8800fd99bfae6b |
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MD5 | b1f5521be5c50e28022ff62481d168a0 |
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BLAKE2b-256 | 52520535a0f9ccbe544df00d7d6eaf07a2e5a33d657827f09c71a3115efa20e3 |
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Hashes for napf-0.0.5-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm | Hash digest | |
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SHA256 | 9e964b50fff7d4a49452b3331ce2d7d7f42efe6fc65a87d3c8953afaeb73d838 |
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MD5 | 4df631358484ded84c70055eb80439cf |
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BLAKE2b-256 | c32dcdc9d51a67e8b8a30c5bcd4dd3623a68b3aa4140c36f03a90596bac54e19 |
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Hashes for napf-0.0.5-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | 24d36f7fba261213be9978dd19a50b620c0466ef84bb7d78e2d3d84abd3c7cab |
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MD5 | 787697d95d138fdf375ad58aa6de6ea8 |
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BLAKE2b-256 | e1a86c4f6ee6f8542d92b0128532ad2392df5aa38e47db116278bdc708bbfcbb |
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Hashes for napf-0.0.5-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d77c58392a5748740d33c1ddc988d2483616e4e3895971bd2b1d38b7878171ca |
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MD5 | 319d59eb58e25ad64c8bd6b4342445c1 |
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BLAKE2b-256 | 279d2948bcac9769cdbe6262f3b9707db32f2593d5ec0c304007e94657ccdd16 |