Skip to main content

2D vector, line and polygon classes, and a spatial hash implementation

Project description

wasabigeom - fast geometry types for Python games

Build Wheels PyPI PyPI - Python Version PyPI - Wheel Documentation Status Discord

wasabigeom is a 2D geometry library intended for game development. It started life as a pure Python library but is now implemented in optimised Cython code.

Documentation

View on ReadTheDocs

Installation

To install, just run:

pip install wasabi-geom

What's new in 2.0.0

I took the existing wasabi.geom code and Cythonised it.

I've made some big, breaking changes to the interface; notably, I prefer radians thes days and eschew namespace packages. To install the old, pure-Python version, pin to wasabi-geom<2.

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

wasabi-geom-2.2.0.tar.gz (23.7 kB view details)

Uploaded Source

Built Distributions

wasabi_geom-2.2.0-cp312-cp312-win_amd64.whl (244.5 kB view details)

Uploaded CPython 3.12 Windows x86-64

wasabi_geom-2.2.0-cp312-cp312-win32.whl (205.3 kB view details)

Uploaded CPython 3.12 Windows x86

wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_i686.whl (1.6 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

wasabi_geom-2.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

wasabi_geom-2.2.0-cp312-cp312-macosx_11_0_arm64.whl (261.0 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

wasabi_geom-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl (295.5 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

wasabi_geom-2.2.0-cp311-cp311-win_amd64.whl (243.3 kB view details)

Uploaded CPython 3.11 Windows x86-64

wasabi_geom-2.2.0-cp311-cp311-win32.whl (203.9 kB view details)

Uploaded CPython 3.11 Windows x86

wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_i686.whl (1.7 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

wasabi_geom-2.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.7 MB view details)

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

wasabi_geom-2.2.0-cp311-cp311-macosx_11_0_arm64.whl (260.0 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

wasabi_geom-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl (290.8 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

wasabi_geom-2.2.0-cp310-cp310-win_amd64.whl (239.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

wasabi_geom-2.2.0-cp310-cp310-win32.whl (203.5 kB view details)

Uploaded CPython 3.10 Windows x86

wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_i686.whl (1.6 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

wasabi_geom-2.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.6 MB view details)

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

wasabi_geom-2.2.0-cp310-cp310-macosx_11_0_arm64.whl (257.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

wasabi_geom-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl (288.5 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

wasabi_geom-2.2.0-cp39-cp39-win_amd64.whl (239.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

wasabi_geom-2.2.0-cp39-cp39-win32.whl (203.7 kB view details)

Uploaded CPython 3.9 Windows x86

wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_i686.whl (1.6 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

wasabi_geom-2.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.6 MB view details)

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

wasabi_geom-2.2.0-cp39-cp39-macosx_11_0_arm64.whl (257.7 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

wasabi_geom-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl (288.5 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

wasabi_geom-2.2.0-cp38-cp38-win_amd64.whl (241.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

wasabi_geom-2.2.0-cp38-cp38-win32.whl (204.8 kB view details)

Uploaded CPython 3.8 Windows x86

wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_i686.whl (1.7 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

wasabi_geom-2.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.6 MB view details)

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

wasabi_geom-2.2.0-cp38-cp38-macosx_11_0_arm64.whl (256.8 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

wasabi_geom-2.2.0-cp38-cp38-macosx_10_9_x86_64.whl (287.4 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

wasabi_geom-2.2.0-cp37-cp37m-win_amd64.whl (234.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

wasabi_geom-2.2.0-cp37-cp37m-win32.whl (198.1 kB view details)

Uploaded CPython 3.7m Windows x86

wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl (1.5 MB view details)

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

wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

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

wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

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

wasabi_geom-2.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (283.7 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

wasabi_geom-2.2.0-cp36-cp36m-win_amd64.whl (259.4 kB view details)

Uploaded CPython 3.6m Windows x86-64

wasabi_geom-2.2.0-cp36-cp36m-win32.whl (213.8 kB view details)

Uploaded CPython 3.6m Windows x86

wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

wasabi_geom-2.2.0-cp36-cp36m-macosx_10_9_x86_64.whl (273.7 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file wasabi-geom-2.2.0.tar.gz.

File metadata

  • Download URL: wasabi-geom-2.2.0.tar.gz
  • Upload date:
  • Size: 23.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi-geom-2.2.0.tar.gz
Algorithm Hash digest
SHA256 59297661ddb390f7edda7660766d4c4decd0bd68e7fe08ae43d80b5f6cf4d0be
MD5 6bfd5b065f06aacc4202e1f67b79fd30
BLAKE2b-256 c1207e43137d3c30b0a146eaea3c78575222731941a71012fa282d7c7608a550

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 bd1fb3859a604cccf2564607af3925e083111ea1d06f5f1a355c94e4f47b408f
MD5 94210627137a2dd24d8cc4e54e0cbf8a
BLAKE2b-256 bac3212dbe10a16539b145d2c9bfa139486bc05f8157ff82364e5ecb05fed46c

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp312-cp312-win32.whl
  • Upload date:
  • Size: 205.3 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 0deadebc79d1e1074f9ddde5adecf1c2bc8bcaec43655bb163cf653c0d8d63b8
MD5 81d5dbd521d3a18c6c86371139266271
BLAKE2b-256 e9e2900b8bafc38b52cb8ae182ceb5a6b6e9bd4af2137e2ae2437388dab3b327

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 440b98dbaf8c384818bc09805f8a14b9877cdf9a008744adbf1d7bd4ba328b26
MD5 0594f6d35ceb9a65807b3cb5fd0c3e2f
BLAKE2b-256 d28b45d5b264e05f320e47f4429e5b3974701b3fccebfb767ce419814627e3e1

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 47c878a4c1c96fdeb24b04b8576182ea1f98e752aef9c973261236d28311933a
MD5 f2883c038fb7f35a1ccfad319b9389fb
BLAKE2b-256 bc449dc7ee49a6f71d2375673111c665c6f7cb15921e1127e0b9d8b46f587302

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9b308cc03ed5a427ddfb122afd502b49fe892dd1db78b9ae3df640ba6343f8af
MD5 fe36811d406bba1fe65345ea6385cb8d
BLAKE2b-256 006a5f97b19ead7bc4a229b856b427d95d4a04a9c05deeeb7103d2158925e6ab

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b308b9dac4c2fa907c726f81737fbda9f675b67169c84b6352d2cf3140ec3d4a
MD5 0433c9e1eae2b442b0235930ee2a2867
BLAKE2b-256 fdd241f97315cdcf547a7758cea322273100fd948b7e6bc55d2420f30b7868b2

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 13f28a53412536a8079f4ba420cadd46fe96bdaf13a01be6311e394ab9d3bdde
MD5 0f633048402a65e1019e860cd2ab1b35
BLAKE2b-256 443c71841cc439a77666e7e14f2cfef8f85d2cacaee9387f3128cf60258ef8b6

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 724c1de4f30f6069f22266f4ff049037bcd2fd8221d84b0527d86d63b35194e0
MD5 75ac7f50284265f0981375f78c41f7dc
BLAKE2b-256 76485f4698589502a09ccb245a9b32ace43fc3951453f5a8601c6b25f6c4221d

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 82b95686875a97fb436b80c6b937fba892dba779843b5803d25c3ef99f531e50
MD5 c977556da65d730697ec8f2c61b8817f
BLAKE2b-256 9e7b439b5737e7da4074a0b2d19df76bf1a94b0a9ccc664b05f04b603c01f574

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 203.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 ea562b8081e0ca920ad03b0467f0f30e1d8302a83380f3b83dfbaed3eafa7ecd
MD5 cf12027cb15cb3ed1a28b3e28d21bee4
BLAKE2b-256 9e2a76850296fc00d27db237571ce8f006d8269827d042773dc6c74ce68a769a

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b50c31e5320c3f90af39f85c33342f205bccaa93b9c4c635f548a2eb22a2270c
MD5 553cc9b0186c2adc3645232f3af78986
BLAKE2b-256 b1f4ed940f13cc2d085420757dc45a81f10bd893af9a39f1acf837c45024b07a

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 2517d97b9e1df1f611947cbb6c7a2258830ebf3fb6de0360bafecd744b58e12d
MD5 3ff72ab36343827995831fd72de19dd4
BLAKE2b-256 c670d00ca5dd6f6881d43a28675965f6724e82a9df5ee3187c1f80072981e202

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f025aa010b839905f5bfef361a2c509048b5fdc648041ab0b3457dc4e1083f72
MD5 01c6704d728a88a4733facabfcdcf511
BLAKE2b-256 d52781b05c1b2ccc9cfd7e2fa1b79c9b65acbd5150e7796a75188106d2cadd59

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5100dcc5095d6040978b6be796eab8bc5b6a57b9139c5931bb8d2e447cb736d3
MD5 fc3a1b68b8026bb82f50bd4faa9fb0c9
BLAKE2b-256 09b8b1e7745e2ac60391e35b418a8ebd3f8d5eff27bd6a7d8513752e1f4ab88f

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a86ab5a78f1c5057c595c6fade122fea957f1d468dc2cc53eff7091b32783864
MD5 e63ce8b4d483d388d9c17591cbcce39f
BLAKE2b-256 4e8119a291022861bf3e26136fbf55c04977ea1c0578a16181690bad647d5725

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 51e7b1366f30f33ad435c277b71be3b7c3ed1869aefaa3ab100c6c9d8273dc70
MD5 9d2b66a828745f4e1faf5b1939ed4cd9
BLAKE2b-256 00ca1518eaad1d0c7f22ae7f177f24f765c674eec08344b609e292265dd32bb9

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 29f5eabd7cbd35c9b80a6ed9b1872845e37b1b841e24f6d913c4c99329beda4f
MD5 58afde78c42046b5618f4e983c3fa4aa
BLAKE2b-256 2dbdadfb369e673f6a3bf69f2e0117a7e41e3651ff265a0dca8566190b409018

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 203.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 4696e1d4f5c44a2ce2b95f98906b01992f1643c152ccc9dcc6dd965ceae866d0
MD5 52639b682b0ed076f6a60b8c5ed31a24
BLAKE2b-256 ecbc32781de7012035ccd63c87ef5dc8da5fea9f54f589f288f6c36999790c21

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 18c97ab5b7666500bd7f2e26a09babdb26ccfb469cc9d1570e0a1b25b225bb42
MD5 8ec94f4965431b7b87a8528f82708c26
BLAKE2b-256 5b11eb6119fc528b3a50b05f43d46a9135aa92bd31055b85a43cde60dbe6c462

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 3f9d2b423ca41c865ea8b06d1470380320ca9c489ffcddb759fdbbd65bafbba6
MD5 e33357f63d9eadb25fefdb5b9b85c80f
BLAKE2b-256 d34ab711a6a604b65ac21dd02563fff23bf819f5df9bf5fea8d6456e8945fa66

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 505aee702401572904bfe71e53f80c5a13aac69204eb19dad970be5da56e1f67
MD5 b58edec84d4ac03482bc66ff2cd9e9cb
BLAKE2b-256 d444b916686e6c37b8b03537cc3c6b8ee8be28f514fc754228d107c045615d0b

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6fe4539c0205b7991a597c335d2818ec1e618c94a202b3f38ce6774aa08608fe
MD5 1767b3d16b1db24c5dcde5d3dca18876
BLAKE2b-256 f3b8fa9bccc901df5f5152524123aa0a794e82d564b2f486d158686903358b9f

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c2d0c04e6cbd5f76c2dd850740c4651caa2c0a7e582d7fdc2a05938d9fdecb45
MD5 ed2430fc7ed193ab16b3798fdccc9ecc
BLAKE2b-256 4ed828bb5c326dcaff3700ea7f5968b72521f246784772a6e1234678279862d2

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 18b922bcb1ca903f143b5608a1d93eebe366c863fa8b5c1da61fcc651cbcb815
MD5 9706956108dea67e4480317700ab057d
BLAKE2b-256 cdd32ff208e7591058826b7a274c4410888e1243b994596b3bcd6fef2a51cf4d

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 27c77e74e2b0a51d77b56a6b985c16c8ed4073343081041f053352df03b1c19b
MD5 5e1fea21e699b56e9b9051c31653e232
BLAKE2b-256 49da1d9c338e1ba998381623a156f3fa3605a7a0500af784eddc830007ff1178

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 203.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 4f628acb857248716907b4c5c1dbac47eca751928d373942f19b1e49dec6ac04
MD5 68b321c49132a6a61057b04ee6b331e0
BLAKE2b-256 d9fdeef65a9747c5242e851cedcb18b8fd02accd593c6cf2723969cc321a4aff

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3aed0b142b4abf4af8f99a6536b41805e6590409cff66684a058587e30174511
MD5 d6a6c8a6a20a07701ca1f47d43034d51
BLAKE2b-256 b07f81c3db99b932c5a7be720a712e23f85ea46aa7c5cf55f17fac6096b135b3

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 ab91eaef8cd21fc5c47919316b25e6dc41a74e3b72931fb8a29da01f281ff5eb
MD5 bf2e48641b8ada671808ae666e785f00
BLAKE2b-256 abeec9db19e65caf7e01d8e9cf46b70f3cdff4ac05424c99388427f937a0fc8b

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 aaf0363bcff3a4be6a69af0dff323ee8761b538bbfed69ca3fa7533993d25b70
MD5 70eb706753d0ab0a0a765617920c6fad
BLAKE2b-256 b24874e6294fa408453305a8abd7b6d23a45821a945516b5fc633a8b98baa4a5

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e8b5af02611dfad62d0998fc1794ef4bc7493994d23c894f4fdd3c9cc9e620b6
MD5 43dc4dfdcf0d5884182d088bcea31976
BLAKE2b-256 df64995e5712f4d4cb2e327e321197528ff1a9ee5d695fe97b53f4c1025e0786

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5be20ed5dbdc8a308efacf9a90b4175033a7faea15b9a803e7fd3edf19256239
MD5 e11cbc265daeee4071acf3f8939962a7
BLAKE2b-256 44694c38953ba005d7682c72d475bd2e34c2713f4198df576db0839c84d17a44

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fb199f04de6d7b1fcf3f2460880b7280c1617230c995b385fb388dc5421d3a76
MD5 187dce83b8e3075c4a983437f244efdc
BLAKE2b-256 6ce3ddb22db7e507d305b984838e5685018375201e50eef2bfe9a77686569dfb

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0ed9d714ba8000acbe4cf6dd6abd99c5e84f7c569c1f72c04aaee91346bfd754
MD5 25c104eeea2ad99ced91b21d1bafc932
BLAKE2b-256 5764d6a82d74b2a83764bd28af165fd72f3f9a39fda5ec69c443f1083fc34dd3

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 204.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 03454228f9673017f8a4d370680e777a86a5764b49638ea7469d1622d6864754
MD5 95ddc727924858a2f2a046c4bc881320
BLAKE2b-256 e3ce804cc1658771afbd5a70017f77beb9ee7f9f49f1591456da8a48cb5b8ce7

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 adf60c635b228f1fcce91cf4ec4ba0a890647039b444c5855996c17b8c0ad3f8
MD5 abfe4ed2f9bca1efdfd4116be063c723
BLAKE2b-256 5d0ab5cf4de93fce4cc6e4c5202c60b9dae283ed7f4e5f9e3b7ac6955adb1dbd

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8d0461a08942bdd5dfa4b9452ca58ee247f7bbe1d3b1e9e728142ecf27737105
MD5 3d30d25688eb3dd0fffc19af23ff6a8b
BLAKE2b-256 04f861e162db8e0d3febf74a91f866ab48e1fbc7f4cb689a134a78b6cd03b7d1

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c1e28ad424e144e51445936ce81ea45a2f9b8840e177f7246f32a9af95b40d86
MD5 c9c3916bf045a948ce028e235e6f1a9a
BLAKE2b-256 68d14f1bfeb3f8b99d843ae0430cf750a878375209651d4ac8e203539699886c

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4b36ae03cacb73a54d9c6f011d505e200743f89c488a661a278cb1ba401ab6f9
MD5 fd3b6f3139a93f7578c0782609fc6908
BLAKE2b-256 c224f0bede2361e653d7d8c86a54703d8a0e9008b5934211669d44e18a5a37f3

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f5a4f044880972a098dab7effcc9c2bee7e52f920ecc2cf66d611e42639b8acd
MD5 0210ef7d4e9c0a8414ba405cce13540b
BLAKE2b-256 d69a354ac522f5273c9e588ab55594aecc461b23437f60025d1a52c1427446be

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8c070dc7b2fb7a55df0ebf8a9fa893ab88e8dfc9292957805affb7dc8b4a5dba
MD5 77613c7bca166d74bfe461d078ba0e43
BLAKE2b-256 bc2aff057ba9a049776998bb3295ce3f82682406cdb939fd368aec7b6a3a5e8b

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8d8db265dbcc1ff55ab516eabcf82f88abc4c1cc66f598016abb58325dfb3cee
MD5 a6632d84da885895988f64975d72bd19
BLAKE2b-256 423a2c1c91d0469a90c330f0db9516c7a08c55108d822d55d65c02a0f8a194e5

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 198.1 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 5d6e6a49cf1b62b4f89119c322ac62398afc9bbdefe5064064c5e26a4ae3fbd2
MD5 5a59c2b0cfe219990a0432f505ba1898
BLAKE2b-256 85acae09e1bda6dd63a64e1cae30909d917493e40174e9f1368c6548c78adae9

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f2e15eb71581a221c50f82d23f6a808c158ab538ec20fab55ee72ebd909311b8
MD5 7cebba8b353c19a7476770e41e25443e
BLAKE2b-256 f98732ea0dfa492553ba15df8a20a72686680f27c89ecbe2f32b24dd7129efb8

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 a1e153d92d2c51467138b62d9852f961bc32690487790a4c0c0dda2843bbf826
MD5 7301147d17e66b76df7c8b9ca7e2a8d2
BLAKE2b-256 347468b956f293b622d52f37ce232fa9abd1dc68ccde975864b3541a63c9ddda

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 78028b5ad169872f58bdeef0434a9e870161616030f35adff5feb13a55a3fa32
MD5 465878fd694ed8bb732dcfa27e4182bc
BLAKE2b-256 d7b868160dfc0daf706848044c0aa37d2da6e2f0d79532a8db7734f36cb9ef2b

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bbb440182c87db135f5fd17b5d6aa636d787bba97090667ecc088bc5a50bedf7
MD5 b1864cf7d164f3260a1d13959ef35758
BLAKE2b-256 e6b5fdc58bb54c72e7becf480717ed59faaed06534002f71cfe6ef7ac9106d16

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9459adbde5342b593f49dc139e3c65844e5cc0251d6c62cd6365158ed2f28991
MD5 8080d11a333b34a3a274883f90f6591b
BLAKE2b-256 16bf960d0086204409ca74f774ef706d6fc7b4669fb6c57806b9fde5d8daf80f

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 dc45c5a3826fc9d0d186bc2e3f125ca1dde6c6e21a0ad25c63c92303cf44d32a
MD5 5f4a6150beba6da74845244543bdd8ab
BLAKE2b-256 e3ffc819a1f96a8749471348138d44155d8008d2b046d5f9911e907aad83e2ab

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.2.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 213.8 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 01e881e69750af9d5d21b24e793a58d23093420b84e090d10342c318ce049b69
MD5 98ae6f2e1e4112be415f2020fa90514d
BLAKE2b-256 633e2f8000205c725b9635c72b762e64347db0b3181f3619b531b8a7ef1086c2

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 db70c1163d305b212c89bffab7ee986fa10cc620bebdc94afcb16c34846740f7
MD5 0d68decbb770f6f46e0e2d1c9220d2f5
BLAKE2b-256 4191549088451ae5952a0c7598fc683be0bf7cc1285262d19f8dc63cef385567

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5cba54c6b41f0f1ebaa2a6e1648a51a15b478a3e308daa433e2e464b1e4de458
MD5 9d368da6a5c0bf0f8cc16bda97af8a22
BLAKE2b-256 341fc29e046b25ec7da707a26cb594a9b1249fa85aac21bda1eec511748bb206

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0182cb42ee9e0aad20888e2ec1f2e14d6bd8afc01a9067e9900f99a6e3221195
MD5 b19dcba321a31d81de102a4119f3113b
BLAKE2b-256 ecd5226ec03bf0d9ec4f0d034c36d1f9b6030fed06fc5a1d1cde11447e220089

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 00ab41e695f561e02956de55972836bb294ccfad00a05ba7aa39d20e02a619e4
MD5 1cc91bf3667d18f7667ab1ff1b16e08f
BLAKE2b-256 6c09939299b22a79a37a1ce3b3b7fbfe556c7f3badbf971f7f108d21d6c72950

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.2.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for wasabi_geom-2.2.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a7fa50990683d1c26aa73fbc8b5cea752a4f9dee6cc5f8dbc87b3990efdf8137
MD5 6ee6aefac80a27b2a6d9c68225d6fd15
BLAKE2b-256 b2b12f4d890e40a3043722efac485b20046e98af8d85072b78dd98b344031877

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