A high-throughput seismic phase associator
Project description
PyOcto is a high-throughput seismic phase associator. The best way to get started with PyOcto is through our interactive examples:
Examples | |
---|---|
Basics | |
Velocity models | |
Interfaces |
If you're looking for further guidance, for example, a guide on how to set the associator parameters, check out the PyOcto documentation.
Installation
The easiest way to install PyOcto is through pip:
pip install pyocto
There are prebuilt wheels available for Linux, Mac OS, and Windows.
In case you want to use 1D velocity models, you will need to install
the optional dependency pyrocko. pyrocko is available through the
standard channels, such as pip
or conda
.
git clone https://github.com/yetinam/pyocto.git
cd pyocto
git submodule update --init
pip install .[test]
To verify your installation is working, use pytest tests/
.
Warning: PyOcto uses POSIX threads for threading. As these are not available on Windows, the Windows version is single-threaded. Therefore, we do not recommend running larger computations on Windows.
References
If you're using PyOcto in your work, please cite:
Münchmeyer, J. (2024). PyOcto: A high-throughput seismic phase associator. Seismica. [Paper].
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
Built Distributions
File details
Details for the file pyocto-0.1.7.tar.gz
.
File metadata
- Download URL: pyocto-0.1.7.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ee54983b185b7320cab52159293a4d78b095ca314dfa4bdbf38fe5f7e1642039 |
|
MD5 | 2e7dfaf809a1d48283c8d7dfdc6288dd |
|
BLAKE2b-256 | 173d839589bb691e2f4ae7f6c2dc4d0d57791da9dcdde21481a8a31d94ce260b |
File details
Details for the file pyocto-0.1.7-pp310-pypy310_pp73-win_amd64.whl
.
File metadata
- Download URL: pyocto-0.1.7-pp310-pypy310_pp73-win_amd64.whl
- Upload date:
- Size: 125.8 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d8eeac1d79072ed54b2d1c707b908c36c0d515de495633cd14d853cf7db2b9f4 |
|
MD5 | d7c7a55b5fe56ef37c971c688be2f400 |
|
BLAKE2b-256 | 3da305503366128d322d58ad4ff94fdc7435cb1d37c84974906d10ea4006d182 |
File details
Details for the file pyocto-0.1.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 165.9 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8cabd4c703df8fbd335f8be62cbc8551adcd567816efda0e746947131789e8c3 |
|
MD5 | 8da956bfcea1e1783714ecc37a99cc78 |
|
BLAKE2b-256 | 4a2166db73c913eebdff8aa14d6b9665ee5193ab7990b3d099e45f71b10423b7 |
File details
Details for the file pyocto-0.1.7-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 176.5 kB
- Tags: PyPy, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4133cd2c3e9417d763d64f91b984fb809e53fc0e4164aa5bc80c284ba6d3345c |
|
MD5 | e426bb20e0671b1a0d659ff0417d2a83 |
|
BLAKE2b-256 | 05c051129410324406e42d4b571d964dc656c3af02f9e7d41e7e01f9c2c67bda |
File details
Details for the file pyocto-0.1.7-pp39-pypy39_pp73-win_amd64.whl
.
File metadata
- Download URL: pyocto-0.1.7-pp39-pypy39_pp73-win_amd64.whl
- Upload date:
- Size: 125.9 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5942f8b4bd6e5e7dfb03a32348b481a5c066aa8ac3dfc8a2293c7a68589bdf96 |
|
MD5 | 81afe58a777fd02dda830a3327f93384 |
|
BLAKE2b-256 | b1ac08904c4c7c9188adc4136e48d66479f3d07ddba95e8ac39bed3121edfcb2 |
File details
Details for the file pyocto-0.1.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 165.9 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ffb4bb83c17666b1dd3de4f878a0ae6e6d47b5b962a4fd18047d945c2001936 |
|
MD5 | 21afb3c1c7243db8cfd2b2ce31e2591c |
|
BLAKE2b-256 | 1ab86648cc267888c86a4a6d96868497d4946e8ba0fe853ba8441b4282d2e346 |
File details
Details for the file pyocto-0.1.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 176.3 kB
- Tags: PyPy, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fcd0bd4afc24218ab7b9d61d0dd93f953de62ca9ac12fae9e7646905f1d66381 |
|
MD5 | 28ed1a386740cc9818c1a9f7b04fb3a6 |
|
BLAKE2b-256 | fdec75c58ec13e4add6b8ce86c096e3084125af27ca469d1e22dc0ae9d3e50b1 |
File details
Details for the file pyocto-0.1.7-cp312-cp312-win_arm64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-win_arm64.whl
- Upload date:
- Size: 105.0 kB
- Tags: CPython 3.12, Windows ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b05bb3a865503ec0e7cfbe0931cf2ea5bc37f760843bf0270b288b8202750325 |
|
MD5 | 34c641f66a9458b2978083f07332b368 |
|
BLAKE2b-256 | 670773fd318b82c9e20efdd1dc5508b5e28bc9b00b2a8b9a4b8b1ed9a356868a |
File details
Details for the file pyocto-0.1.7-cp312-cp312-win_amd64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 126.9 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a77fd1a75256d57dda91f4578a5a5b64375829ce93e185356f8a6998e3780e46 |
|
MD5 | 3983aa57df6f76a4eacbcf634fcba399 |
|
BLAKE2b-256 | a2722c803e61af5b0a77e6350a434f27fc09c1e74f2c2e5c699847197e755833 |
File details
Details for the file pyocto-0.1.7-cp312-cp312-win32.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-win32.whl
- Upload date:
- Size: 103.8 kB
- Tags: CPython 3.12, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9b2c1b8e4718c1b1565faf5c45d0d0cc6a48d9ac69af908b7d97ba4b22c2c961 |
|
MD5 | 0d64430da1040d8dc3002a4213db44a8 |
|
BLAKE2b-256 | 00c7d961d5ad9eb9663d6e8049e8224cd79faedfc3224323e30c32ad938eb546 |
File details
Details for the file pyocto-0.1.7-cp312-cp312-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 688.2 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ce4cf8c06ceb660c8d336b54484dd62067481209bdf5706ebb8740d1b35a3516 |
|
MD5 | a1b1aa855d40b2b5c03242016a41ca78 |
|
BLAKE2b-256 | 08d0763ca969f23665a9ae829d9882f2a6c8e075df581f7a8008c47849862de6 |
File details
Details for the file pyocto-0.1.7-cp312-cp312-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-musllinux_1_1_i686.whl
- Upload date:
- Size: 750.9 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 568226d64309572331473d6b17b48fa8c954c79a0f24ccbbe07ad08d48b3b2af |
|
MD5 | 9f35594a5daf8b999f12182b27fa513e |
|
BLAKE2b-256 | 497c70b6e357dc58f6a053392a229afbd563cf87bcab4fe0da7d60e18c5d7340 |
File details
Details for the file pyocto-0.1.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 166.1 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 78e7ed624ded939424e2038351d19ba5b4ce5ca53357817fa6afaa37fe148906 |
|
MD5 | 6386c0c505760eedc0a6b9db2a66a9f1 |
|
BLAKE2b-256 | 4eb722d6fe41576e1cf448e11b04a8274bea64abe11dfea9f215e93bf8f7991f |
File details
Details for the file pyocto-0.1.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 177.2 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c9884285b3b8775aba5ea1841aec5c871a26cfcde9d6b4de9c1a3c8871891325 |
|
MD5 | c5cd73d3bed1105e9617b856d61f2e7a |
|
BLAKE2b-256 | 4543ae3485e8f4619c5402987a7aae173cdea6a34b94a867bedc4181decdfd75 |
File details
Details for the file pyocto-0.1.7-cp312-cp312-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp312-cp312-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
- Upload date:
- Size: 251.4 kB
- Tags: CPython 3.12, macOS 10.9+ universal2 (ARM64, x86-64), macOS 10.9+ x86-64, macOS 11.0+ ARM64, macOS 11.0+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 38988c9b09792d0d41f4b26ded07e4049a4606d3986b33c62b9918bc2397cdcc |
|
MD5 | 99fe7945e9c57e2a9f8ffb252f2d9dc9 |
|
BLAKE2b-256 | ea4b27066c8c002aec8154217fe43bd599ecf49b8dffd1e2875994ec1f7c3ee5 |
File details
Details for the file pyocto-0.1.7-cp311-cp311-win_arm64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-win_arm64.whl
- Upload date:
- Size: 107.7 kB
- Tags: CPython 3.11, Windows ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ced95622860d9bec14a4249be018fbcf172932c882c2fff5ca12ef4aec63bc82 |
|
MD5 | 3b7a0adcdce7e81898378976717b1ead |
|
BLAKE2b-256 | cd6808e90bced232e147833412066f36cfc8ca2874abbe349fd4a26efc47300f |
File details
Details for the file pyocto-0.1.7-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 127.2 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e5c5359cb064b24a3aa24a553d54d73c7bbc78e8e5f8bca043f1eab19e8b421e |
|
MD5 | 6b9a15fadfa69f731dd302229734c772 |
|
BLAKE2b-256 | ea7ba42dbc75b5da1cdd99fb353daf4b12d069aad15ad1f3178f7661a378995d |
File details
Details for the file pyocto-0.1.7-cp311-cp311-win32.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-win32.whl
- Upload date:
- Size: 103.7 kB
- Tags: CPython 3.11, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8230887b5d4aed0ea4f622cc6befbc002775d4f5041de3f12962e17e94481cf5 |
|
MD5 | 09c2c3d5468f491ed0cf087e54a38158 |
|
BLAKE2b-256 | a3a58f7a3161ea397704856735f61ed310694beae2ff744f33b0a001ae92a507 |
File details
Details for the file pyocto-0.1.7-cp311-cp311-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 689.2 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6aff7ee001c53d04921955d183f8d6af2ae9849b43d7b9b8712c1fb0efc13caa |
|
MD5 | c3c7394f2d54c5f73100c9c0c220a9a3 |
|
BLAKE2b-256 | fd67523899f04e7bba593f12dbe1a74a05d9a999a4cce774b923d47db919469a |
File details
Details for the file pyocto-0.1.7-cp311-cp311-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-musllinux_1_1_i686.whl
- Upload date:
- Size: 750.4 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c328126ba9074df0f678c974fe957f20f1f2218a43ca7319203cb572ebd25a3b |
|
MD5 | d26935719ba3f94fb300b5e6d7562bd4 |
|
BLAKE2b-256 | 0fe3b93331d472a1d1b6dd7b1d1fd5e8b31400ddb2b22746b6c3eaa62fab44ed |
File details
Details for the file pyocto-0.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 167.2 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2668161e878a38c9a11f81b2932e81c5a51891795836c8d60744eb05a6cb6b11 |
|
MD5 | 62db54550dd142a4f2859d13f514be65 |
|
BLAKE2b-256 | 831bacfd9425faece46434d12cbcf698b25a39993e966db0492031124adcb190 |
File details
Details for the file pyocto-0.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 177.7 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e56c3486d3176b056f26442eb78a93a6ce60e2d56e5d97c095d944d7cc3e1a25 |
|
MD5 | d1377f5b01cc23eb1980b03c8431ac03 |
|
BLAKE2b-256 | 07dff393202cdf2bab8538d573fe9815131589cc7f743bd1e12186357f24db84 |
File details
Details for the file pyocto-0.1.7-cp311-cp311-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp311-cp311-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
- Upload date:
- Size: 250.9 kB
- Tags: CPython 3.11, macOS 10.9+ universal2 (ARM64, x86-64), macOS 10.9+ x86-64, macOS 11.0+ ARM64, macOS 11.0+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4de8e44abe8f44c54ef4ad27008f2d572bd472299baacf9b237d9c815c20e2dc |
|
MD5 | 84c26e2945e2c416c3dbefe9be101fb8 |
|
BLAKE2b-256 | e72836a46fa883301f594aee85241fe0d300ee280d7a7576238506d4115456c0 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-win_arm64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-win_arm64.whl
- Upload date:
- Size: 106.9 kB
- Tags: CPython 3.10, Windows ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd1961f122caf7e589028f35dcf0c2896f3bd73f867e3361cb703bad514e46c2 |
|
MD5 | 1082202ed1bdfd03c3bd5b944fb7e52d |
|
BLAKE2b-256 | 29c5544111e6e5448ecd3dcf9592747671841e49c899dd99f2864767b5b21041 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 126.2 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d54cc82c352b27d26ea5437ba30f816bb8a69024ac43bb0ed76fb3b260fb1131 |
|
MD5 | 5972cb557ce537c243390c7f424d4efc |
|
BLAKE2b-256 | 23ba9d4f83ca618b997221f9933c39e237c16df8845137b65e77b51f73020352 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-win32.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-win32.whl
- Upload date:
- Size: 103.1 kB
- Tags: CPython 3.10, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 008efc493b14725c0f1d95e37a7882e644631734a76ecabbb581c59f46bcea88 |
|
MD5 | 4e57a711b5d60e3d7f5e3b15f1f85d09 |
|
BLAKE2b-256 | 93372eb9e0609fb495287542480f32eeef2e8a1799753475563a2f1c4d7f2bc9 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 688.1 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d205d0d3fcf009dac098d9d27158bf4e6a63f5289064182a9ea704fa0f41d04 |
|
MD5 | f48e6b96622210b3323d969f149e681a |
|
BLAKE2b-256 | b57a2ba26540bcf8adb4d0f9234d5deec49f557eae9d4b20c86f5feaa8940909 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-musllinux_1_1_i686.whl
- Upload date:
- Size: 749.1 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d8a28030d6afaec45adbbd02e767d9b8ee717a683ea7fb431751f311101ac282 |
|
MD5 | f86079b4f54d3d5c8a4f1615f3411411 |
|
BLAKE2b-256 | 387dbcfae41f1630476aa8757e726d0534945b7da791765d1a9f43aaa2e8f59c |
File details
Details for the file pyocto-0.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 165.5 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 51ff9d52e18fb01e0846b4129295056584edf5f7636d3e0f06b66d148b124d83 |
|
MD5 | 3078f55bda22e7e086f10d331eeeced8 |
|
BLAKE2b-256 | 2c7fa4b8bcb1d9395523292ae1d5f40b291eb383cda601d2944dc306e7768041 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 176.5 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a41bf6e20c20bd4be19a953d3e45226e5ed5068e13e65387f4c420baeaf6a8a2 |
|
MD5 | 79f636b5a5069c1ecaed9d43db1b81b0 |
|
BLAKE2b-256 | c8cd265b719b40eb5d6b89061acc9be14dfce6e9b11aae9823e3e1709641bdb8 |
File details
Details for the file pyocto-0.1.7-cp310-cp310-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp310-cp310-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
- Upload date:
- Size: 248.2 kB
- Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64), macOS 10.9+ x86-64, macOS 11.0+ ARM64, macOS 11.0+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ece0a74de04a0698cfc1f4907a060e0591f2f6f031cb848bcf0047afa71a1d1 |
|
MD5 | 68aded61783240c5294c1a6f36332a4d |
|
BLAKE2b-256 | f433e6edd43452dd0c74e5a866e167caa51040b771f1bc7126088a651c54f554 |
File details
Details for the file pyocto-0.1.7-cp39-cp39-win_arm64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-win_arm64.whl
- Upload date:
- Size: 104.5 kB
- Tags: CPython 3.9, Windows ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bcae691bd434fecf6d915fdbf0ed43b8951954cce6901cc4282e2bac657870c9 |
|
MD5 | fa5bb74ca29dae2d925007eb083ba81c |
|
BLAKE2b-256 | 4a70647f1e59651d237063c8a43a41a4149ab15d1072f9f945f64a0a6561b45d |
File details
Details for the file pyocto-0.1.7-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 126.2 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 89dbe2461e9f912f189f616ae9088cfa7684ba8e8dc2d906467a9b848e507f07 |
|
MD5 | fa02340d1a76c49e92b35cf31b94f4a6 |
|
BLAKE2b-256 | 5934b34468a32b2ae12a586b58bd00eb3dbc1c63ddc1dfb382989d76ce9d6c25 |
File details
Details for the file pyocto-0.1.7-cp39-cp39-win32.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-win32.whl
- Upload date:
- Size: 103.2 kB
- Tags: CPython 3.9, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0358ea9f8fc22d2283a2282b5f1b91f42ef076b8c97dfc49d8b052953ac4a2d4 |
|
MD5 | 6e26dd59296773b7c5b0ee588d380e20 |
|
BLAKE2b-256 | 0ef4c9d78e3d4dc9d631e80f18b86175a122e030f97046fb299abc79b916634c |
File details
Details for the file pyocto-0.1.7-cp39-cp39-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 688.3 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2cb346ec934147f7efba52bb84c7f05b4edc0c7d088ea4bc2624f5aa288e1c68 |
|
MD5 | a7ac978266ff2b27fac6e37c534ae9a8 |
|
BLAKE2b-256 | e65e3dfe81d05dd76d66b25f2b19002a288b4053c97e1decb6ac0ab41f81a6a3 |
File details
Details for the file pyocto-0.1.7-cp39-cp39-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-musllinux_1_1_i686.whl
- Upload date:
- Size: 749.3 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a53a2ea90c77da1cb9703792b0820b80da215f2ae551671043a23c4201cc5f2b |
|
MD5 | 55b47579b00ab82e4e10b8a3caa0b553 |
|
BLAKE2b-256 | 7f3956b28e48d496d50fc23801cf02b7d15402584b608eb12c68c40739cefb4c |
File details
Details for the file pyocto-0.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 165.9 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 41ad6fad17c179afd43e7accbb8172adcb00aa1b1495fc91cc015dce4c5d83b0 |
|
MD5 | 3fb10d4f9659c565162ed2dc86c0e9b4 |
|
BLAKE2b-256 | 9d050ffc1bbc2b7a69d3cbc6dde34147ac36ed669cf8cffd12f2a8b73c870a61 |
File details
Details for the file pyocto-0.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 176.9 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2a334aa1a435b4fdee0a32323ad9a47a27b13ea5a5266a4dfb36f880a74baa8 |
|
MD5 | d0b0af13a429fbdf1c0954648853df42 |
|
BLAKE2b-256 | 40c67f8a295b9c4fd55be3c03ff848f9c9fc2054f5d921772d85acd8abde9b65 |
File details
Details for the file pyocto-0.1.7-cp39-cp39-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
.
File metadata
- Download URL: pyocto-0.1.7-cp39-cp39-macosx_10_9_universal2.macosx_10_9_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
- Upload date:
- Size: 248.3 kB
- Tags: CPython 3.9, macOS 10.9+ universal2 (ARM64, x86-64), macOS 10.9+ x86-64, macOS 11.0+ ARM64, macOS 11.0+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2407038d6ac844bd6ac99930c47c2d21657035e51a9b443e87d895ea756c7184 |
|
MD5 | 6cfaa333c71ca04a266db6aeb7052695 |
|
BLAKE2b-256 | 77f037ad57f89e80d9bec8a99c1b03e2d8d3166ee7c082537437a3ca5191fa0b |