Skip to main content

Static memory-efficient and fast Trie-like structures for Python.

Project description

MARISA Trie

https://img.shields.io/pypi/pyversions/marisa-trie.svg https://github.com/pytries/marisa-trie/actions/workflows/tests.yml/badge.svg

Static memory-efficient Trie-like structures for Python (3.7+) based on marisa-trie C++ library.

String data in a MARISA-trie may take up to 50x-100x less memory than in a standard Python dict; the raw lookup speed is comparable; trie also provides fast advanced methods like prefix search.

Installation

python -m pip install -U marisa-trie

Usage

See tutorial and API for details.

Current limitations

  • The library is not tested with mingw32 compiler;

  • .prefixes() method of BytesTrie and RecordTrie is quite slow and doesn’t have iterator counterpart;

  • read() and write() methods don’t work with file-like objects (they work only with real files; pickling works fine for file-like objects);

  • there are keys() and items() methods but no values() method.

License

Wrapper code is licensed under MIT License.

Bundled marisa-trie C++ library is dual-licensed under LGPL and BSD 2-clause license.

CHANGES

1.0.0 (2023-09-03)

  • Dropped Python 2.7, 3.4, 3.5, 3.6 support.

  • Added Trie.map() (#90).

  • Rebuilt Cython wrapper with Cython 3.0.2.

  • Fixed benchmark documentation typos (#89).

0.8.0 (2023-03-25)

  • Add Trie.iter_prefixes_with_ids() method to return (prefix, id) pairs (#83).

  • Rebuild Cython wrapper with Cython 0.29.33 (#88).

0.7.8 (2022-10-25)

  • Added Python 3.11 support.

  • Rebuild Cython wrapper with Cython 0.29.32.

0.7.7 (2021-08-04)

  • Restored Python 2.7 support.

  • Fixed README image references not working on Windows.

0.7.6 (2021-07-28)

  • Wheels are now published for all platforms.

  • Fixed ResourceWarning: unclosed file in setup.py.

  • Run black on the entire source code.

  • Moved the QA/CI to GitHub.

  • Rebuild Cython wrapper with Cython 0.29.24.

  • Updated libmarisa-trie to the latest version (0.2.6).

  • Fixed failing tests and usage of deprecated methods.

  • Expanded supported Python version (2.7, 3.4 - 3.10).

0.7.5 (2018-04-10)

  • Removed redundant DeprecationWarning messages in Trie.save and Trie.load.

  • Dropped support for Python 2.6.

  • Rebuild Cython wrapper with Cython 0.28.1.

0.7.4 (2017-03-27)

  • Fixed packaging issue, MANIFEST.in was not updated after libmarisa-trie became a submodule.

0.7.3 (2017-02-14)

  • Added BinaryTrie for storing arbitrary sequences of bytes, e.g. IP addresses (thanks Tomasz Melcer);

  • Deprecated Trie.has_keys_with_prefix which can be trivially implemented in terms of Trie.iterkeys;

  • Deprecated Trie.read and Trie.write which onlywork for “real” files and duplicate the functionality of load and save. See issue #31 on GitHub;

  • Updated libmarisa-trie to the latest version. Yay, 64-bit Windows support.

  • Rebuilt Cython wrapper with Cython 0.25.2.

0.7.2 (2015-04-21)

  • packaging issue is fixed.

0.7.1 (2015-04-21)

  • setup.py is switched to setuptools;

  • a tiny speedup;

  • wrapper is rebuilt with Cython 0.22.

0.7 (2014-12-15)

  • trie1 == trie2 and trie1 != trie2 now work (thanks Sergei Lebedev);

  • for key in trie: is fixed (thanks Sergei Lebedev);

  • wrapper is rebuilt with Cython 0.21.1 (thanks Sergei Lebedev);

  • https://bitbucket.org/kmike/marisa-trie repo is no longer supported.

0.6 (2014-02-22)

  • New Trie methods: __getitem__, get, items, iteritems. trie[u'key'] is now the same as trie.key_id(u'key').

  • small optimization for BytesTrie.get.

  • wrapper is rebuilt with Cython 0.20.1.

0.5.3 (2014-02-08)

  • small Trie.restore_key optimization (it should work 5-15% faster)

0.5.2 (2014-02-08)

  • fix Trie.restore_key method - it was reading past declared string length;

  • rebuild wrapper with Cython 0.20.

0.5.1 (2013-10-03)

0.5 (2013-05-07)

  • BytesTrie.iterkeys, BytesTrie.iteritems, RecordTrie.iterkeys and RecordTrie.iteritems methods;

  • wrapper is rebuilt with Cython 0.19;

  • value_separator parameter for BytesTrie and RecordTrie.

0.4 (2013-02-28)

  • improved trie building: weights optional parameter;

  • improved trie building: unnecessary input sorting is removed;

  • wrapper is rebuilt with Cython 0.18;

  • bundled marisa-trie C++ library is updated to svn r133.

0.3.8 (2013-01-03)

  • Rebuild wrapper with Cython pre-0.18;

  • update benchmarks.

0.3.7 (2012-09-21)

  • Update bundled marisa-trie C++ library (this may fix more mingw issues);

  • Python 3.3 support is back.

0.3.6 (2012-09-05)

  • much faster (3x-7x) .items() and .keys() methods for all tries; faster (up to 3x) .prefixes() method for Trie.

0.3.5 (2012-08-30)

  • Pickling of RecordTrie is fixed (thanks lazarou for the report);

  • error messages should become more useful.

0.3.4 (2012-08-29)

  • Issues with mingw32 should be resolved (thanks Susumu Yata).

0.3.3 (2012-08-27)

  • .get(key, default=None) method for BytesTrie and RecordTrie;

  • small README improvements.

0.3.2 (2012-08-26)

  • Small code cleanup;

  • load, read and mmap methods returns ‘self’;

  • I can’t run tests (via tox) under Python 3.3 so it is removed from supported versions for now.

0.3.1 (2012-08-23)

  • .prefixes() support for RecordTrie and BytesTrie.

0.3 (2012-08-23)

  • RecordTrie and BytesTrie are introduced;

  • IntTrie class is removed (probably temporary?);

  • dumps/loads methods are renamed to tobytes/frombytes;

  • benchmark & tests improvements;

  • support for MARISA-trie config options is added.

0.2 (2012-08-19)

  • Pickling/unpickling support;

  • dumps/loads methods;

  • python 3.3 workaround;

  • improved tests;

  • benchmarks.

0.1 (2012-08-17)

Initial release.

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

marisa-trie-1.0.0.tar.gz (410.6 kB view details)

Uploaded Source

Built Distributions

marisa_trie-1.0.0-pp310-pypy310_pp73-win_amd64.whl (142.2 kB view details)

Uploaded PyPy Windows x86-64

marisa_trie-1.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (185.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (189.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (161.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

marisa_trie-1.0.0-pp39-pypy39_pp73-win_amd64.whl (141.9 kB view details)

Uploaded PyPy Windows x86-64

marisa_trie-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (184.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (188.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (161.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

marisa_trie-1.0.0-pp38-pypy38_pp73-win_amd64.whl (139.6 kB view details)

Uploaded PyPy Windows x86-64

marisa_trie-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (182.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (186.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (159.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

marisa_trie-1.0.0-pp37-pypy37_pp73-win_amd64.whl (139.6 kB view details)

Uploaded PyPy Windows x86-64

marisa_trie-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (183.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (188.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (159.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

marisa_trie-1.0.0-cp311-cp311-win_amd64.whl (152.8 kB view details)

Uploaded CPython 3.11 Windows x86-64

marisa_trie-1.0.0-cp311-cp311-win32.whl (131.2 kB view details)

Uploaded CPython 3.11 Windows x86

marisa_trie-1.0.0-cp311-cp311-musllinux_1_1_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

marisa_trie-1.0.0-cp311-cp311-musllinux_1_1_i686.whl (2.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

marisa_trie-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-cp311-cp311-macosx_11_0_arm64.whl (184.7 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

marisa_trie-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl (201.2 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

marisa_trie-1.0.0-cp311-cp311-macosx_10_9_universal2.whl (381.7 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

marisa_trie-1.0.0-cp310-cp310-win_amd64.whl (152.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

marisa_trie-1.0.0-cp310-cp310-win32.whl (131.2 kB view details)

Uploaded CPython 3.10 Windows x86

marisa_trie-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

marisa_trie-1.0.0-cp310-cp310-musllinux_1_1_i686.whl (1.9 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

marisa_trie-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-cp310-cp310-macosx_11_0_arm64.whl (183.5 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

marisa_trie-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl (200.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

marisa_trie-1.0.0-cp310-cp310-macosx_10_9_universal2.whl (379.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

marisa_trie-1.0.0-cp39-cp39-win_amd64.whl (152.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

marisa_trie-1.0.0-cp39-cp39-win32.whl (131.0 kB view details)

Uploaded CPython 3.9 Windows x86

marisa_trie-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

marisa_trie-1.0.0-cp39-cp39-musllinux_1_1_i686.whl (1.9 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

marisa_trie-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-cp39-cp39-macosx_11_0_arm64.whl (184.1 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

marisa_trie-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (201.0 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

marisa_trie-1.0.0-cp39-cp39-macosx_10_9_universal2.whl (380.7 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

marisa_trie-1.0.0-cp38-cp38-win_amd64.whl (152.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

marisa_trie-1.0.0-cp38-cp38-win32.whl (131.2 kB view details)

Uploaded CPython 3.8 Windows x86

marisa_trie-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

marisa_trie-1.0.0-cp38-cp38-musllinux_1_1_i686.whl (1.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

marisa_trie-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

marisa_trie-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-cp38-cp38-macosx_11_0_arm64.whl (184.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

marisa_trie-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (201.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

marisa_trie-1.0.0-cp38-cp38-macosx_10_9_universal2.whl (380.7 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

marisa_trie-1.0.0-cp37-cp37m-win_amd64.whl (151.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

marisa_trie-1.0.0-cp37-cp37m-win32.whl (130.0 kB view details)

Uploaded CPython 3.7m Windows x86

marisa_trie-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

marisa_trie-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl (1.8 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

marisa_trie-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

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

marisa_trie-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

marisa_trie-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (198.1 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file marisa-trie-1.0.0.tar.gz.

File metadata

  • Download URL: marisa-trie-1.0.0.tar.gz
  • Upload date:
  • Size: 410.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for marisa-trie-1.0.0.tar.gz
Algorithm Hash digest
SHA256 d8a68301f023a724eb379aaa1b10f88a9e1a458cc8a41b527c62507859b4a4d2
MD5 a65cb3401f54be0ae26ccfa7a8991231
BLAKE2b-256 291e49cfda94a5719fa3bb899d3d7e06a53f7446f1f11abbcd071fcafb189b54

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8a3b2de663aa0fa0251d0db8f336d8f5f4b8837c5ca34590cd662df13bef81a2
MD5 23fc6f8f4c020f3605a4df49d297cee4
BLAKE2b-256 c58fb7adb57a5eb192e858efdee5ba664a8a96a390996261c47f5bc05670190b

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 705614e13ca9b6b5751fd9baed7ae33517a0874e691e51492cdf85db056281d2
MD5 cac4625fe2fbfd6718087b7259210dca
BLAKE2b-256 26558d20db10ed10669960ef53054d78add93d22105c07a01f3ac5a51042281d

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6d8d292a45b4e8db985b395f6972a6177dee2fe399a739e02f99301f59908ef0
MD5 50e3747f1143fa53a0750c325ce3923a
BLAKE2b-256 59cc8d7f52095d4f11148f9c0a53f4e2650a4cd84d5066b2b88450d850dfb13e

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2028a77a21d56440175405fc8cf872e10f2af2ac928aa09f5958b0d036194c32
MD5 3a1288f38afd6ad57248aca5c070fba5
BLAKE2b-256 cff95d41908c1fb7a8c1e76ce386ca9a127d16d40231f36c19204b893e9f0daa

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 eba700d6f24906dff4e593be1af93ebf38c841b0755ee701c816674f133dee29
MD5 8784d50a8f7bda65ca9343fd12eb0e8d
BLAKE2b-256 e809bd835a64fd0105e937f51615cce736917b116baf7769ac088eb1ff39c93e

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3bbb601ba1fee5ff1019c71149e1bc98fb9d5cfadf1790b934da24c49147e205
MD5 b2f5b73ba11f7173f59f044fc16e1e4e
BLAKE2b-256 0c533561a55eed7a3f882e5ec45234eae6ba9b370f237511f4260f118e1ef032

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 34ec0f3bb54479a49dd60bb712fee851e7c135504d84efcf030815a07a9a96f5
MD5 9866735cbbaab66782a4745a1360fd43
BLAKE2b-256 7d856772ce1a9109369e1c9f85c1baa684f00933040cbea8352b156ed73aadd9

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9e270208050788a3c92de28a691a25719c933fd086fa8d39cb0410d70fadfb54
MD5 2e482546792275851618932d2e0e4e71
BLAKE2b-256 e12129d75b492b6255dd83109a2044d2b5cca929829d3fc7877ad9e4b1e049bb

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 88533e799ab8a257896635b917850ebeef82b3d5b54c27736dccb2ce0f5d24e0
MD5 93996c5a88600b3a630696166449c81f
BLAKE2b-256 d87ef75f2ba01e2e7e3542afa47dc97fe9cd4455cee29daa57e3e32f6ef6aa39

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d81c905267dc1bc983e9c4b0e847f960560d9257b9c40724e90814655c734670
MD5 b4ab96e06a1e45a8cb61500ff6ebd43a
BLAKE2b-256 83a66f51dbeeee594fb8c5afac80e9bdd6c696deed666c58cac4fda5466fd57f

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b08caa6ce91b50130f857658f5370ed16b9d6fc44ccedf74d4a5efbea9ccf3eb
MD5 05ea03d9f8a4ccf400d3ef8d72594cf9
BLAKE2b-256 d75545cf7d3906a8dc5668ce4c7352c6bb64a30a1184ff8125d94fe6e097d536

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9baf968893dc7c724c7e2d1958549c9c09774c1511bee13977edb8d5c2e668dc
MD5 0a1ea1120bf5eb1f2aa8a7073960b6aa
BLAKE2b-256 0bbae5e0d4ec83de1b8829d0c0752b92d8fad94234eb23da9d62eb2421ade9ff

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 f534687cdfc570db8805f7a092033077d93bce54bf3cc46e7e098e9b15875749
MD5 98ea91fdca2ed1802021a4007b42459a
BLAKE2b-256 e1872d4c9afa4065f4ebaa2d5ff6f145e6c3c4ea9296f1de4d7351e6ed785986

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 00d743b069789c397c3fc677069146093b9df06e467a85ee9d5384cfce11823f
MD5 81721ab7bc35598e60c0f180f1410223
BLAKE2b-256 52dc9d4a1746a9421ddf6db1286398480df8e2a6da1ceafc2cde0ce768fd0a97

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b8a18ac806d147583d2f1c030abe0d69a9e3efa899f0d5e1af01807ba8649696
MD5 672294db06f382645da768c829f78971
BLAKE2b-256 526f25ca435b1818f84c4a9e34423097d66319f7a6d9f6849209017601064e97

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 63241a0714c8eaf93d35799a183f70d34b55a2d547086f9572a1f1fc62343b61
MD5 4db2776a1c8957e52994abece794d3ca
BLAKE2b-256 6ecdd4aac26764525aba7c5d18427b8542f0f70bc2695a40db075075ea3f2352

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8ce63d85d7a6821fee54bccf5c4d54f53b1d7ab48189db0779514f659f629cf9
MD5 7a5d955460f75756a660cb8e46fee3f2
BLAKE2b-256 a4f92c2765afadab1ff1e39e60e204c7b3d04299b504347774b576bc2af1b20e

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: marisa_trie-1.0.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 131.2 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 9297a6b1fff4761d493041a172c45e86ab409f1d0fb88d6a427e4d3f8d5e810f
MD5 3cb1ade316b96e97b3ccfd483c75f7ab
BLAKE2b-256 c9671ba9965c838c95c359c553c3572acfefc1f2963b95765863ffb4051e4a03

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 97187816838f5cdd5aeb7d1b170a8fd6688596e5ce53186696de18bb5abd8369
MD5 485ef44fbd2f470f582c62838358e875
BLAKE2b-256 97020416da9fe04bc2aeea8f397a471d26a0218ee66165faa681fcca2832e5a6

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 eef6c2e2daacca171296c24f8972af2bbbfd529de678fd4c4c7e2b216f799e84
MD5 fc6d914c4a4812ff8ad6817d83fd7674
BLAKE2b-256 c42290afa02cdcf652213893a0d71a7f8710717ae8ecca144fa61acf7d7c2ecd

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f53c54d7deeff79b65b3310ff763aa95e61cb6c5fe4bf63bc0ebe6e98be91fa4
MD5 b5bd864c5e6a76ac4253fabb3b788d08
BLAKE2b-256 34344f9696f41d13f9540fc74c71499bb6fcfb8ec26aa4d4d70b5bf1c341f98a

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e9addb7095f7ba8076febb2928ed4be5a247ee31064da770ae97c3a772b9216d
MD5 410f3e49364e470110b86b5fda075953
BLAKE2b-256 c1535fcb8d325d41c44da570de566a69fed401934d5b1c7dcab4c16a739d2a14

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6fdd5e619fa44dba41276220186772c926860dfa9b791d8d8f29b3ce6c65a23a
MD5 736a2ea37ec1c8939a097b80993f1c36
BLAKE2b-256 11f1865aff5367bdb2a5d2aebaf134f9550531bca6e26c3ec40f4ea5b649f634

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a6c6800674003f60975cb578b1240dce91c8e276a1bdec9c0e280b9ef296fb54
MD5 6ad7b1c6742578192e3a672026a29ea8
BLAKE2b-256 8954e4d310a457fed475f65f397aeb0627c90a25beba80a6f807f14e3dfcdd0f

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 0654229e476ac07719f9e427fafb902473eb5ca4284690cd2960872285945ee8
MD5 87a51dd7738952c89bede598a76aae8d
BLAKE2b-256 8afc5b8fec6ddb5ab63cf79f55f62c6d5c8bcce240cd48b23472eb5e96b8e025

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f43f73814678304a9384ada1ba15ef5f46e557f566a0209cc3d4bb0eda4792ad
MD5 504fa607f59dbe02ae93d29a04a38242
BLAKE2b-256 15a504fcc82dc0bfdb0fcd8aaad89f639d8cd26a662a089a48a7b9b40d06cdd0

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: marisa_trie-1.0.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 131.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 bd1fa1b82272114b0f81595921f37ada7f29227f2ce23ef228a1af4ae0dbfe0e
MD5 5db5b28793f17e3b385a1e03083fe884
BLAKE2b-256 20ddd4a3e51de450560bac66d56617a1e2cc1efc043f775482a0ab42a4b111e8

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a1a9d78d9f3010fcb8c1a8c40565bb5115cd55766d501bb85828ce6d56e32314
MD5 aa775cb87e145d002a1421d810b88e90
BLAKE2b-256 e85e7f4e8269556abd3348a90dee6c90471c9b08be0221a9e0644cc84d94cf58

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 6ea5e2436978c586f3a74b171eef088167291cddf71dbf4681418f61267d2254
MD5 8de00e78dbdbfa64e0f16dc1aa59b9d2
BLAKE2b-256 2d89a3ecd5577567d7ba1c6187bb36a6905e51cddced64f7e8487a0b2f9dd27c

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9794b840d4a211b78816ffb7839ac205e22d895f368b8d14fdf00e4a9615e6a5
MD5 71c0e17e9680e70da24d5455c91e2bf6
BLAKE2b-256 e0baad53d4c5fbf223017f300fdf80831e192d02581ec7d7145b982ac4fb900a

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b29aecbffc474bb0353d9c73608bcb9fb36b1a44d9bf707e973c1ce8e63bda7b
MD5 ed59b48b1c997f453ffc5f27ef34e875
BLAKE2b-256 3d588f206b8f58160014b42ba505a6f6f1dc0c168f401f4f135aea211f2f44f5

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 210cfa143a5f5dc5038a4255adc891eec4d55aa7eff409b70434b796b5de0f1f
MD5 fce1f682a6dfa8b073c551363cceafd0
BLAKE2b-256 4207ccc92cea0bd2746c5cd446c1fe6c620205b3e3a253e09145f8da6384acd1

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6bc75721f4fb8c1d1d0812d2ed17e57ff77e7192c792114af941c12dab1a4346
MD5 611a4c0e8770b360f9ace1f790c6e139
BLAKE2b-256 681560ffed30eeea3dcadb902da0b378b3a61c5a7f5ca1da37b7badfdf8da116

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ac817d167f84bdc4de2a737fb5ffb635ba1a3fdf3dbbcc06541b2cb420416e79
MD5 de4bfc85ca96dd8e2e9f35e8bcbace61
BLAKE2b-256 66809b552929552161dfc19a1cfab6525669d45220c55722afc67b32ea9e5aff

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 47b795fa2e434aa061ad95c0ac97d68d4f3593a0f253e29dcebdd7ff09681278
MD5 6caffa2005f4496513e43ff668e8f8b9
BLAKE2b-256 3dcdafa9158bea8478e390bad19fef52ad901cb6d66cea4dce3a1ba568feb8cf

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: marisa_trie-1.0.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 131.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 bd5a880f19d24143f0ef244432b8bc8aee71217ba70731821779796786c34d86
MD5 70768672ce7336c77ac5d878a321143c
BLAKE2b-256 e6a8fd8cdac085bb58abaea0519919a9ddf6a96dbeb320b3c07a5fdc10bacd55

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 16145c8dbcb9b2e9407170406ce096917ad3de4dcec7e70451c03f67e0cb4e46
MD5 52b0cc87a3cddf65995c8942dcc0fb92
BLAKE2b-256 eaffd823dcd564b391165c5b1e933e950cf1f8c6580d9b1d523215fb915a6882

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 fd84fa78deaa7a121aef7eeacc54b4880946dd7935bdf8b453310ad870e5d7cc
MD5 4ee3c166f5c7ff45a644bc99e042fa07
BLAKE2b-256 d55d8fd8cefa103bc7e8ceaf9b25f3190b16ff3680a33b81876f167e31520557

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 467054b237a8faef7b7b2143649a2a3603abc7bb88d6132844b9a2bb055cb638
MD5 a1cf51d9221f91b22de0d6148dfaf385
BLAKE2b-256 0c6d2f7a823552e1b6fbed4a3cac3acccba1f6fe279f5cecd4d6654c3ad1e178

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 801454d0a5533be485b285408e2838717527b02558116704725da33ebcd578c2
MD5 e7feb93281bbf01d785c98d86bc135a9
BLAKE2b-256 27b67cffbce6483df276e4bbb1cdfbfe13c7a7af4173023c362c75c33c028bfd

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d3d6257fed955c40f49b1edb6a2e168aa01e6b4bbcdadedecfeb862b93c721e2
MD5 ee475e17c9041a9f8818a3395c3a48a1
BLAKE2b-256 69646f23412e2f0a2cd6d9d2c0dd8a55d5751a120ab63a9a6b0ca62411a21671

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5b0e3bd20586d10a9f62914b4b0a0c1bbe526b396b5f456aa68afffe0d10073d
MD5 d113dba19e6e9267d959cf0f8b27cd33
BLAKE2b-256 089ac0c14b4167c7261063cd3d2a699a274416beab3537eca85d9cd5cb20a4e4

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d6839f9e09a9b0bb8683c94da1a0eda4b3951b397235be540aaeb54dc3b737ca
MD5 aaa0f4ad8d4f770e3a51fd5556255bde
BLAKE2b-256 3e74176e621d390e5384c6a70d7f282179b9550e830316bc9ebe3a5d216f650e

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b4c7a39d0cc80fb5f93cc5290e32478ae7c16c5bbbc383a0b7ab14dad3cde53e
MD5 569924a2e66fdf2ec4a5946badd749a8
BLAKE2b-256 c8c166d40b5a21082b0295d811ac01e8106d8c5da2d21b018444265235cbea49

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: marisa_trie-1.0.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 131.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 ee0bbc6b58ad7a4ac14e47fd0de0ee77029d48fc97f19e896906fc136457a6be
MD5 23c3e23f9f35de09edcfb803010a6ce7
BLAKE2b-256 df4386476a7ea0059d8eb43a3db0238c9b4a66791e60422ae2da78b4bc8da889

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 22a15b799e1266e923bbce6acd1501ddcfecf1fabd70c5ee224a895ecc0e0daa
MD5 01d4435598f75bf93ddc7a02808d78c0
BLAKE2b-256 a39be3e67eaf7b79a747da3c16e7a209d5da13b9b8b0ca44eb9ac268cbfda8e1

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 52ea8c5d05b638c9543520c77a03604907ef5e21214fe92ac4e22416b324bc6e
MD5 83cc44f237c0cb63ba70d524f812c610
BLAKE2b-256 fbd6802234b0884d0f5270f46006694cd1fae6dbbe1fcaacf5fe3225d1fae784

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b0e868f19b2ccfc6b656aa86bb934ad68783aa717c37e5f88e60e240a2e829fb
MD5 9b8fde31d383c1d88a3f5f032065644e
BLAKE2b-256 e6c9b28dd744331087be3fc852feb99f2653ea62f8d49cfeb32b92ba22da38bd

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ddcbfbb09d067a2764534f6f7997d65ae681bf556304cc96f437f096810888f2
MD5 ffc7fe6e480ff93b944e114a77eb5f20
BLAKE2b-256 e1ad35f4028a13a58d483eb3054d571b76dd483d88dff91ccce3a01dabb0e324

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 834c24627984eaddd145c559e905aabc78f12f3445ddaac8d013a928de57c321
MD5 dbad7385126c6f2fc869aee09f893e2b
BLAKE2b-256 922bd69dc49e796c0a2abd50599321d9101a386d96e07fe66349b77bc2a1506a

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d01e2482246c9563c22cf9883fed4f618f806e35e6aad3564060bfbdfae3e075
MD5 daedb6ae42b2462cb9bb1e0da3377af7
BLAKE2b-256 8b2f049183f7961040bad2dd594132e75b44e7bf370e7aae44b63572f4838180

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 69621f0c317157e360ad465313de6d04fbc47b936a3d77284d2b7aa5fc8c05d4
MD5 d2de4fc75ec847d20d944834fdea409a
BLAKE2b-256 ba8c6739dbe948024e9b2bdfa76ceba37ea592c02be9d1972d1c83761c818f1b

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 9c46ed9d939e6c6234bda52ff13427967d5f9dbb73696175b0fb5c42b1200069
MD5 889e5c71231cba35d7fc7b4246c79437
BLAKE2b-256 621594e050800ed879d323224a6ef592eb4f0df83c3cc8b4af5d617043795ae7

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: marisa_trie-1.0.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 130.0 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 49f804013d2696feae1bb42a9f974dace2406bbce9624cddf82f5a08b91ea59f
MD5 535322bd1a54b5d2fbe09f6829c53e12
BLAKE2b-256 f9536cd2ecc162ee92cd8fad83f92aecb5d9955db7191f60504dc3a49a4d8c08

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f93fdff76037a5b730830b78b1df6f20a4cafb24ba520a412a10b608b28a8477
MD5 828696dedb5d7c9b96c8f085b1728998
BLAKE2b-256 91b9c36e34ddcdb77343a537c8f055b60d89252161dbd6566a82db40fa0f0257

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 61370c3a5e93e05eb501c80c24346909eb4dd3595d733b4fd3847ec05204c22d
MD5 22745daad923902f0cef56e74859d93c
BLAKE2b-256 f939d5fbe6c73dea0105868bb7f694138cab10bf73810dd14cae4b832957bf38

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ba8790022a91a4eca0cbe06669ab51f4275a5943a506e3a8b7b462d3f3cad85f
MD5 2eaf63e541ae3b2bf6ef767b5613429c
BLAKE2b-256 5c99175c032dc79fbb394356da8a887cf9dbd2c8dfa1faeab23c020f12ea19fd

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 86eb98a38db8795928d6235e4e84285a64f8b85efa80836c4b29f66b5a114ba1
MD5 77ef342fe3e753d5d4d704234c6bb2f3
BLAKE2b-256 662c22d39ed6d09966c71884bd72d584bf7ae8bec621f944c031b020d0b0c0de

See more details on using hashes here.

File details

Details for the file marisa_trie-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for marisa_trie-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ee16569ee02f27c43eb7280a8e4277add33e2bc9ff4ea9e5584cd0b487c5769b
MD5 076e2f72fa1ce127767a535949377de9
BLAKE2b-256 c206bffed0bd68f5f61054272b7c0f14e0dbfe1acb6bb0221f2a0dbfd932567b

See more details on using hashes here.

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