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

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

wasabigeom - fast geometry types for Python games

Build Wheels PyPI PyPI - Python Version PyPI - Wheel

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

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

2.2.0

Apr 1, 2024

2.1.1

Apr 21, 2022

2.1.0

Sep 24, 2021

2.0.1

Sep 27, 2020

2.0.0

Sep 26, 2020

0.1.3

Oct 12, 2015

0.1.2

Sep 5, 2013

0.1.1

Feb 1, 2013

0.1

Oct 4, 2012

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 hashes)

Uploaded Apr 1, 2024 Source

Built Distributions

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

Uploaded Apr 1, 2024 CPython 3.12 Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.12 Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.12 macOS 11.0+ ARM64

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

Uploaded Apr 1, 2024 CPython 3.12 macOS 10.9+ x86-64

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

Uploaded Apr 1, 2024 CPython 3.11 Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.11 Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.11 macOS 11.0+ ARM64

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

Uploaded Apr 1, 2024 CPython 3.11 macOS 10.9+ x86-64

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

Uploaded Apr 1, 2024 CPython 3.10 Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.10 Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.10 macOS 11.0+ ARM64

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

Uploaded Apr 1, 2024 CPython 3.10 macOS 10.9+ x86-64

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

Uploaded Apr 1, 2024 CPython 3.9 Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.9 Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.9 macOS 11.0+ ARM64

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

Uploaded Apr 1, 2024 CPython 3.9 macOS 10.9+ x86-64

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

Uploaded Apr 1, 2024 CPython 3.8 Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.8 Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.8 macOS 11.0+ ARM64

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

Uploaded Apr 1, 2024 CPython 3.8 macOS 10.9+ x86-64

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

Uploaded Apr 1, 2024 CPython 3.7m Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.7m Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.7m macOS 10.9+ x86-64

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

Uploaded Apr 1, 2024 CPython 3.6m Windows x86-64

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

Uploaded Apr 1, 2024 CPython 3.6m Windows x86

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

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 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 hashes)

Uploaded Apr 1, 2024 CPython 3.6m macOS 10.9+ x86-64

Hashes for wasabi-geom-2.2.0.tar.gz

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

Hashes for wasabi_geom-2.2.0-cp312-cp312-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp312-cp312-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp312-cp312-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp312-cp312-macosx_11_0_arm64.whl

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

Hashes for wasabi_geom-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp311-cp311-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp311-cp311-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp311-cp311-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp311-cp311-macosx_11_0_arm64.whl

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

Hashes for wasabi_geom-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp310-cp310-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp310-cp310-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp310-cp310-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp310-cp310-macosx_11_0_arm64.whl

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

Hashes for wasabi_geom-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp39-cp39-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp39-cp39-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp39-cp39-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp39-cp39-macosx_11_0_arm64.whl

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

Hashes for wasabi_geom-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp38-cp38-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp38-cp38-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp38-cp38-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp38-cp38-macosx_11_0_arm64.whl

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

Hashes for wasabi_geom-2.2.0-cp38-cp38-macosx_10_9_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp37-cp37m-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp37-cp37m-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp37-cp37m-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp37-cp37m-macosx_10_9_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp36-cp36m-win_amd64.whl

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

Hashes for wasabi_geom-2.2.0-cp36-cp36m-win32.whl

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

Hashes for wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp36-cp36m-musllinux_1_1_i686.whl

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

Hashes for wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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`

Hashes for wasabi_geom-2.2.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

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`

Hashes for wasabi_geom-2.2.0-cp36-cp36m-macosx_10_9_x86_64.whl

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`