Skip to main content

A collection of cython-optimized search functions for NumPy

Project description

ndfind

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ndfind-0.4.tar.gz (285.8 kB view details)

Uploaded Source

Built Distributions

ndfind-0.4-cp311-cp311-win_amd64.whl (267.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

ndfind-0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ndfind-0.4-cp311-cp311-macosx_10_9_x86_64.whl (407.5 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

ndfind-0.4-cp310-cp310-win_amd64.whl (269.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

ndfind-0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ndfind-0.4-cp310-cp310-macosx_10_9_x86_64.whl (409.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

ndfind-0.4-cp39-cp39-win_amd64.whl (276.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

ndfind-0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ndfind-0.4-cp39-cp39-macosx_10_9_x86_64.whl (417.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

ndfind-0.4-cp38-cp38-win_amd64.whl (278.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

ndfind-0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ndfind-0.4-cp38-cp38-macosx_10_9_x86_64.whl (400.4 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

ndfind-0.4-cp37-cp37m-win_amd64.whl (261.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

ndfind-0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

ndfind-0.4-cp37-cp37m-macosx_10_9_x86_64.whl (387.3 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file ndfind-0.4.tar.gz.

File metadata

  • Download URL: ndfind-0.4.tar.gz
  • Upload date:
  • Size: 285.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ndfind-0.4.tar.gz
Algorithm Hash digest
SHA256 9226fd7e54f60cbc675c26318e4c0423e5b53468155a64cc5496b4d799e82f58
MD5 01714e55e5ea02a9e41c7c9af807cbe1
BLAKE2b-256 4268b6019873c2a1ffebaa5a40b29dc8b0ab2dc45199aa82a385f2a1cb8688d8

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: ndfind-0.4-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 267.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ndfind-0.4-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0c224a5a20309f7e821874a950441b610149bc5e418f6828f2318701a2a95021
MD5 bd9b3ea23b87d08408277dd0d6f689ca
BLAKE2b-256 fbc243854e5789b40e29e46cb63697badee0f5c1f1f8d24ecf919f26c588791a

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a164c8074d411003848a31a1c7e69a3fcb0ce9623d12308238106d4703fc186d
MD5 41ccaef7e49045e2640d4a0bb61abb73
BLAKE2b-256 c50a27153e6154afab10d05a70635831d815036c397b9a4efdbe40d05abac918

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4330a98b3895116ce2b78f93e7f4a197525de300d501a1e36801535d1cdae2b1
MD5 6faeaa8636f9fed0d68a4e674b163d6c
BLAKE2b-256 eee1ee34afb34c5428582035658002dc45f504adf4393cb591f3bc56ddaaacb1

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ndfind-0.4-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 269.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ndfind-0.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e49f6b4d63e3dee999eb6bf99fd391e3d5e6a0ca7d40f4b00eb039c2dc061765
MD5 9b6aa510b83202514473586179f1df85
BLAKE2b-256 33ef6de731f170624cc7301e33a6ce8eb09e352d40c03c89ad058436da64b825

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f6e6a8087422cccf12fcf2004aacb7d2a29e84911fbfaff670ac0310b58c82f2
MD5 2802a63680fbbc4a12acfa6bc72da84d
BLAKE2b-256 b1ba44b2c880fd7a341bc45d77e6da1fc595d4be118186429556dce75cc5674d

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 17f6431025ee9959b3ede30e9493570533a260ba13cfec10ace61401856ba373
MD5 5177274564aced3478b8035726924a55
BLAKE2b-256 7a3a44ed5dca1a9ae168c7a25eea3e6efcafd86369be51dd46cf3b68595587c2

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ndfind-0.4-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 276.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ndfind-0.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d5096262b88ce8d0232c2c475635ba3374aa8bd25a45f4cef4ed4f874e14b075
MD5 267e0ca8cc8a0ad18b0c1755e8a67df0
BLAKE2b-256 e28bc159c7ab57988470ecaa4428ab2f57ee0775e7bbdbdcd4ea121f185a609a

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 adb136b56f01e52af3c5ef40ba3c5a3608c5fa17322158ecd0c7d749cd56e7fa
MD5 1af70e52b6510217a74286c6f628adcf
BLAKE2b-256 5e6d7e5e6bb182f918addc5d00da3f4308984c7cd044a633f9dfbf84a604080b

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 352bd68ce7bcdddc25e856d57d95a97d7e87ea943c42ce2614011a0cbdefaf8e
MD5 57da7496797e806f50eb8392b263198d
BLAKE2b-256 70efc04d260217997e6e86a6f22a039a3101c28e2005fffaae3a1d653b1f7b17

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ndfind-0.4-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 278.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ndfind-0.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 21be77265cdc0c26de794cb5f9e33b42d0691fdb880f0c2b79a50f7550da4b42
MD5 fd86003f04aae2d7df3d2e50fef442da
BLAKE2b-256 7a650f5073d94d2713519eaa397d8ceb1a87f5e948b95e7bbb829f6fbd2090bd

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 822c5e56a0b580f3184df359a41845f25bd3562522362af08130a5eee53ebed8
MD5 63de188c700b125cb9f42ea1e9754416
BLAKE2b-256 e1a4c251c5bee32b978d81610e19e4728cdcfcb920d9b0b5bb57868bd91ecabe

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7369c6a0aa51ea1efb81d11e3fa218712b4aabe430f42540f5da05336edfc188
MD5 ed8d62ab5c7ce57d78bac549a2036527
BLAKE2b-256 0796ae5df4e231a1d31021650ee0f4eb24e59fb8280cd90aac4812b65cf216c3

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ndfind-0.4-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 261.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ndfind-0.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 11d8c521908b4a447666bb3906e692655adcdbac5d9c4dd9bdb209b7da6a9392
MD5 033056744d42eb6ed3d8142e37c602c4
BLAKE2b-256 bd872d5087c14035d74b6fc87f3b6bae508a1e6ec444309043f2d51e601746f5

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 25c3901491eb80c1b902b46f4415785e022c0339812fad1903bd73d7c31ede6c
MD5 2c8f07c9353ce82df1d544a3673857e4
BLAKE2b-256 1c37c5d70659fdc895c57f9ab8e5d8e83d230c1e9277d99f8832b6fa107c53d2

See more details on using hashes here.

Provenance

File details

Details for the file ndfind-0.4-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ndfind-0.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ed5f7181012acc691d49c738ac96c3c2f82b411354b8016df86e8b2fcb75856d
MD5 d497b4d53a16a345eccb13ab882d8b35
BLAKE2b-256 dd678154f66ac4af74b126bc61d55198819274e7da7fa60128220e3a513ea73a

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page