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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mauve from gravatar.com mauve

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mauve from gravatar.com mauve

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2.2.0

2.1.1

2.1.0

This version

2.0.1

2.0.0

0.1.3

0.1.2

0.1.1

0.1

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-2.0.1.tar.gz (12.7 kB view details)

Uploaded Source

Built Distributions

wasabi_geom-2.0.1-cp38-cp38-win_amd64.whl (137.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

wasabi_geom-2.0.1-cp38-cp38-win32.whl (117.0 kB view details)

Uploaded CPython 3.8 Windows x86

wasabi_geom-2.0.1-cp38-cp38-manylinux1_x86_64.whl (732.5 kB view details)

Uploaded CPython 3.8

wasabi_geom-2.0.1-cp38-cp38-manylinux1_i686.whl (678.1 kB view details)

Uploaded CPython 3.8

wasabi_geom-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl (181.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

wasabi_geom-2.0.1-cp37-cp37m-win_amd64.whl (130.5 kB view details)

Uploaded CPython 3.7m Windows x86-64

wasabi_geom-2.0.1-cp37-cp37m-win32.whl (112.7 kB view details)

Uploaded CPython 3.7m Windows x86

wasabi_geom-2.0.1-cp37-cp37m-manylinux1_x86_64.whl (704.9 kB view details)

Uploaded CPython 3.7m

wasabi_geom-2.0.1-cp37-cp37m-manylinux1_i686.whl (657.5 kB view details)

Uploaded CPython 3.7m

wasabi_geom-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (179.8 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

wasabi_geom-2.0.1-cp36-cp36m-win_amd64.whl (130.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

wasabi_geom-2.0.1-cp36-cp36m-win32.whl (112.9 kB view details)

Uploaded CPython 3.6m Windows x86

wasabi_geom-2.0.1-cp36-cp36m-manylinux1_x86_64.whl (721.3 kB view details)

Uploaded CPython 3.6m

wasabi_geom-2.0.1-cp36-cp36m-manylinux1_i686.whl (671.0 kB view details)

Uploaded CPython 3.6m

wasabi_geom-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl (191.2 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

wasabi_geom-2.0.1-cp35-cp35m-win_amd64.whl (127.6 kB view details)

Uploaded CPython 3.5m Windows x86-64

wasabi_geom-2.0.1-cp35-cp35m-win32.whl (109.6 kB view details)

Uploaded CPython 3.5m Windows x86

wasabi_geom-2.0.1-cp35-cp35m-manylinux1_x86_64.whl (696.8 kB view details)

Uploaded CPython 3.5m

wasabi_geom-2.0.1-cp35-cp35m-manylinux1_i686.whl (649.7 kB view details)

Uploaded CPython 3.5m

wasabi_geom-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl (180.3 kB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

File details

Details for the file wasabi-geom-2.0.1.tar.gz.

File metadata

  • Download URL: wasabi-geom-2.0.1.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi-geom-2.0.1.tar.gz
Algorithm Hash digest
SHA256 3ec68c409a32b291a70a1475e02a6254d12795048ed29715bfba97255565e206
MD5 7c00f5703a6d9f84d1cfef24d261a4ec
BLAKE2b-256 2e059293ead3df27111fc8beb664cf5463acae7f9508620a23abe8f1a2903703

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 137.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b7f63b6c00171169efd7ec61a81d20110bdc70ebd1b7f745ea6adc6c7608c22b
MD5 e96dff31b2d2ae9ab8d7b219299486b3
BLAKE2b-256 93b2b327430e23cbea240532d4b8705bf129b8c7a4b81ae258bc31329029c47c

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 117.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 8c28c511ea198d08c392039051a82608a11503c0a8f1602ec8f72edb4fae6a78
MD5 f263523802024dae602fb73cde10157a
BLAKE2b-256 af0c09035f9aeb759571265c7469d8c9e3b63773a5600786ec59735ae6badfe6

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 732.5 kB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c58e37539a9b3da12ea99f4e7621a5d8597d1cccde485e3a876f482094bb9d27
MD5 9fe54ef4b357c119e5fd0da974cbb338
BLAKE2b-256 c8308ffcd27bf710e589fa2e7ba1d80f1cddaf3f374b18f69865e8efd71c14a3

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp38-cp38-manylinux1_i686.whl
  • Upload date:
  • Size: 678.1 kB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 89a54f353dbf01705aa5e44cbe0c08ce9105cd9f02326a2c7a8cd0f194acb12c
MD5 6eac48699b90e232f2ab16eaa7c692e6
BLAKE2b-256 e00866d5b14d37f86cd33fe2e1871a6ce1817c39aab8758e6306a0757172bb8e

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 181.6 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 15f004b5fc56cb3858b9aeea81f945f029dc8db42754e7664a468ad3bcdf22ca
MD5 11040605ce5cf0956a635e221706dea5
BLAKE2b-256 b5970819acee81adced798a76dfccbd4fd6263717c0a8f4ebb61a62ac95febe5

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 130.5 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 32097c305a6803fc0fe4f89d9b2c43d8baadcfeec690e27d6ef5778426172fe2
MD5 c73d9b63ba2d36d2f82a39db06dc188c
BLAKE2b-256 e259a38bbff23b0edf307eadd8738b0cd7c143a5611ec8a4262b3adfaef09f57

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 112.7 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 cea588c36e5841df9e32c2922363e9f2b04f51df41bf47da0ca1aee5cec41169
MD5 c40547ceebe0fb22b8a5f856705388b4
BLAKE2b-256 05b6d4092f600e888d63c358caa661a7a5a5a5ed939a5504bcb3003eb9a1b450

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 704.9 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 177abae2e9e8061636ffb5353a09d9731f6163b6311ca7583cfdd9f54e81871a
MD5 76cfc28c138b3e820612fb68f47f7209
BLAKE2b-256 3a919c30177eaa2bea084c3dc4ec33158c2a12ca18a6b2b77654146537641906

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 657.5 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 f85762a89ab1c50ecf2133fa7ead6e1d489f1e1e91998973525bc919b5a18d7e
MD5 dcb95599f1050bd10a2e318c1269eb35
BLAKE2b-256 9adeaafaacb5610e5f6628566277160e2a4fd83b9c836ce5e66995cd4919bacd

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 179.8 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3497db76950df238c3a43f729326f124632c25e248154894a8f497cd4a094a59
MD5 4252088eb8e38b323ae11d1193ef43b3
BLAKE2b-256 aacdc2141347cc55e9b6a3c9bc798b0d47c7c85ed3c1590576610f53353c40ce

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 130.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 137b3d7a444572c2e36be4c05638c3aa0d5f29a7cb939c0326ea958e7e801fdf
MD5 dafed5a6c7175dc5e350cda95b14002a
BLAKE2b-256 4c94125d81ea2dc18e16dac6406dd28966e77f11fbef214dda175f732a3833fb

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 112.9 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 1bbe0b1521cf7ea2091a87c911312920146cc529346cfe1e44b043ce032c0284
MD5 cad146799d526cb84986391fc5ba4647
BLAKE2b-256 66d2def597832bfd2dda1b1a2b93d5c1e48dc69e668cf3d0d0dd10909e24e5c8

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 721.3 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 25e29ddb8f198a2466e6101385a92f25ffd47e9b7e8952e9490742c8522adfd0
MD5 33066fd0d7629acf7d9aec1865bbdb43
BLAKE2b-256 44aec5d0addcf4c820e21a30fbc14ca1b3c267408def44ec340ca46abd53d3c6

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 671.0 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 a1d9cf657c30e48d75ff1ac837df4396651e674c5f6674a41a3e87ae20a7e2c7
MD5 55d63f2225f9b482240ef476a04f45bd
BLAKE2b-256 09b70afc7602158163071205b7ace35ae6c341f44db9650a0e2b89d590445133

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 191.2 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 37443e6aa7a75136b621ba777bb13176537f07efe2edc777139d67d0d3faf6d8
MD5 ef6a5f32aa70c56cac18eec36ae3c72b
BLAKE2b-256 640525f96b9c86ebd1628d292b32782bcaa10c2d4872af8e15b28c10bfeac6e9

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 127.6 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 db4ecda631d439d7995c69280c8e102e2640d65ac8a40a5bbf669a4e4871647b
MD5 1ef105ce8ad1cc0da298f21ab6e3ab40
BLAKE2b-256 62301d5140a54592e1a38d108cd208e1d609c34f0c0be27e8648c2f27e5c9316

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp35-cp35m-win32.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 109.6 kB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 48a8114bbbf62e33ea1e548cb1ced1d6bb328ef48f1bb553089051b8103be60f
MD5 15ee07f34f324c1a85df1dd9178b6749
BLAKE2b-256 4b79f52f04e3faa98014e7e3ce33176af7546e46e38ad3335a921692cccb8bb8

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 696.8 kB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7842b435c6954725ceba33e3ef1b6ec0241fbb8c871fbe02d80b18ed466fe4dd
MD5 a55e406b5b8c1545a816e3e152c1a051
BLAKE2b-256 e82e1d71e0dd2ff1f5b07f077cba83bedd1d3dd8ac743875492c6b96f4a8d5ec

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp35-cp35m-manylinux1_i686.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp35-cp35m-manylinux1_i686.whl
  • Upload date:
  • Size: 649.7 kB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 8840a4f95bd26fe8a4e0567967d9d5224d8e215499184eb23bb541e5e85eb018
MD5 9d664d1d68dc2b7fd1abceb355037bd4
BLAKE2b-256 dc43b4155639f0b8d37d7afe07e21c455f13e15b8923bbc7199b17617a73a6e9

See more details on using hashes here.

File details

Details for the file wasabi_geom-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: wasabi_geom-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 180.3 kB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6

File hashes

Hashes for wasabi_geom-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d12f626819d9e519a06d8aff95fb5bc849c7ef65d9b46a724a83660aa5fb1f94
MD5 5984d149fdbd5e959b417682927ec194
BLAKE2b-256 73c2447557d86d3cdab20a74e63ec3497ba80a66bed475d188425bb2bb5eb284

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