Add a quaternion dtype to NumPy
Project description
This package creates a quaternion type in python, and further enables numpy to create and manipulate arrays of quaternions. The usual algebraic operations (addition and multiplication) are available, along with numerous properties like norm and various types of distance measures between two quaternions. There are also additional functions like “squad” and “slerp” interpolation, and conversions to and from axis-angle, matrix, and Euler-angle representations of rotations. The core of the code is written in C for speed.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
numpy-quaternion-2023.0.0.tar.gz
(60.3 kB
view details)
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file numpy-quaternion-2023.0.0.tar.gz.
File metadata
- Download URL: numpy-quaternion-2023.0.0.tar.gz
- Upload date:
- Size: 60.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf4794eae2cc258b390f770962f5667ebe6fe037599623b22d8ae0f1aafe2c54
|
|
| MD5 |
fda35860b360184b81d8aefb121e2e18
|
|
| BLAKE2b-256 |
279d0f83560a46675b01a3ff45f24e01e0260752f61dc9bc980ab62302396dbf
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-win_amd64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 64.9 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
06bbcedb0fc59d938d5c6573d08ba99ec0bdd69ea35c1b78f5fc766bf49ee457
|
|
| MD5 |
b58f2400914ef1141708da72aa4b0d73
|
|
| BLAKE2b-256 |
5acbf72f552adc2947e6c7197fd83cff9d5ca7845977e0a5e6bd6c2588dac614
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-win32.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-win32.whl
- Upload date:
- Size: 56.2 kB
- Tags: CPython 3.12, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b39e44b8186c8c9a6b5cff44c875f97625622dc253132772e306bb0393e543fd
|
|
| MD5 |
2fdb377c4d37a09f3d47816864e871c4
|
|
| BLAKE2b-256 |
ce06ebfb00517edcd1fa36f9701982983c17da0533567ef86b08527284f9304e
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-musllinux_1_1_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 208.1 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
32fb78fba21b9bbf703762b0bd4301daa8dabf7599e4c12c4e121149b1533916
|
|
| MD5 |
ca61000b39258c4d1fe5afbaaca1a976
|
|
| BLAKE2b-256 |
e1c873669eb29e9222bfb3d465fb8a2c0f09a194b28f314232ca592d0a8c3c9d
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 177.3 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba97c93f739cb59b8458aabc72dc214698a5c434375f29b8356e4d134c5c68f1
|
|
| MD5 |
c71ae317843df18e942781d991840aad
|
|
| BLAKE2b-256 |
5008c1291217ff91f07ec339ff1ac1e96bb126ef3f903382e90edcd2c3950262
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 193.4 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.5+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f1ff7a030d6d69e9b0a56864d8439a7d7922828ac31c858de54c2a3b9caba9d
|
|
| MD5 |
7a178da9268d87bea7e74b9361510eb7
|
|
| BLAKE2b-256 |
9488a59bd05c239e0cdff9008fc80508bbf4ebb9a52e346e54592b79434984f9
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-macosx_11_0_arm64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 50.7 kB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7a737f081240b99014d9abab2901d6407eabee087b30066858400c3ee7c4be94
|
|
| MD5 |
42e24733fed1f88da11a90479633ede7
|
|
| BLAKE2b-256 |
16a911f77f9b2e5d54b0a338558cf4274a77b698d0a00db8e2809d30e260bfb1
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-macosx_10_9_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-macosx_10_9_x86_64.whl
- Upload date:
- Size: 56.2 kB
- Tags: CPython 3.12, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3721a1cf4637d4689f275d3c929aa9107b34ecf0bea93f5b4a15a01c06a131c8
|
|
| MD5 |
7a29da2379093a961cc9d357b4d2deb3
|
|
| BLAKE2b-256 |
0e94842bfd0390f6d91a9863fb53d92c45aa289a9bd1c6ec45c339ceca80d40b
|
File details
Details for the file numpy_quaternion-2023.0.0-cp312-cp312-macosx_10_9_universal2.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp312-cp312-macosx_10_9_universal2.whl
- Upload date:
- Size: 82.1 kB
- Tags: CPython 3.12, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d3d6d2a842ee7ce9b2ff9895e95fbd684b95c391393fb1c18559b69caca77d4a
|
|
| MD5 |
5c5b8b504cd6ec5596bbb860380ea5a2
|
|
| BLAKE2b-256 |
9a0e65e495ffdd11e32404f990759ef2ceef4b87c7d8c54cda63b6142d1a4d31
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-win_amd64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 64.8 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bf0bdaade988165d8a25fb6dfe5b1f1687d6467d30cc483ca55ca0b1be87be6d
|
|
| MD5 |
2091d81b7e56690f86c150a4cbc53d02
|
|
| BLAKE2b-256 |
5653ae44ce7c07e574c2a738bc2eac075a9fc7be2f6ff74479a80213ee6391ee
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-win32.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-win32.whl
- Upload date:
- Size: 56.0 kB
- Tags: CPython 3.11, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
72a8829f400ba6168f1875e03b5e10fcbae8063d404930fd7d6805e4d6723334
|
|
| MD5 |
90c03551bea50f0110169bc67ba39711
|
|
| BLAKE2b-256 |
465c1bd9b18a303693cfc9aecd9bf5f44d50d3873c3a26d6aca9a9615cc1b721
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-musllinux_1_1_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 206.2 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7998dcf32c4b829f1008139b4b8619e526ee67fc7fe729fea35caffa867becab
|
|
| MD5 |
a648ff1cb6a51ff12feaf10ae35fd91b
|
|
| BLAKE2b-256 |
02acc14ba66becdff9f133158e35c88f917c8a5249ac5bd6334468bbb0141eb9
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-musllinux_1_1_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-musllinux_1_1_i686.whl
- Upload date:
- Size: 179.6 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3a251758784a9f38bffd9caf8a1c5ae1ba10d90826302f0cc40dbb46ac1514e9
|
|
| MD5 |
d3947f9ff663756ca073369d3056ec51
|
|
| BLAKE2b-256 |
1884159b5ff5b3924a40924ab39a3ad4a1ee11c74157a2b0003dd8f7c67cfe1d
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 175.5 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a5a85ac2eeea448a26e84e25c1df7c7bdec6ac6ed45d510ef7e3510335f7c312
|
|
| MD5 |
eb5284b1fd9942ce40be4e62b516ae93
|
|
| BLAKE2b-256 |
4316b8e653721ab73dcb59f6d16982d93a59b2d2ad42e5cf1260f52a17107104
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 191.8 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.5+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b15ace9ad4b1596a6368b4329d7482511e17d18a66a0be34a0c15a0793cfba24
|
|
| MD5 |
730ba84a3ebdcd6c9058078ca45df84a
|
|
| BLAKE2b-256 |
03c5302c3fd31d46add739a706ced9176568fcc0f1aa78fd9c5477bc705fd6c7
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 182.6 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ecb97fca5741a753c3834a60540ea087de0fc1e70debe12ec70f08bbc8663559
|
|
| MD5 |
8c395dfeef3559d3e3ca5eb0d6650da5
|
|
| BLAKE2b-256 |
5549b2e87d65ab1e12f61cc1baae186fdfe2fa6c2ebcc42814cdfa29b0e2401e
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-macosx_11_0_arm64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 50.6 kB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
81330888aaa507e8da5b8f15ab1887ff279306bb6974ab88d5553a7df0a679e7
|
|
| MD5 |
d1f3fbc3670240bfbd5bc2e4b9f949ee
|
|
| BLAKE2b-256 |
e7253a2db7be0a31e9fcfe1b22e642a7408a1fa9a9f621a7fa3d01ce20c1a842
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-macosx_10_9_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-macosx_10_9_x86_64.whl
- Upload date:
- Size: 56.0 kB
- Tags: CPython 3.11, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b80a96d37223804754da14701ce1a8a4717f4aeefab8c8f644714c8d0c6a7eb
|
|
| MD5 |
f0aba755bed1ecbc2b4dcce55c08d163
|
|
| BLAKE2b-256 |
e4aa958366e4d923bb5cd83a1d90767e60179fd4043f7490adfbcc02a789356f
|
File details
Details for the file numpy_quaternion-2023.0.0-cp311-cp311-macosx_10_9_universal2.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp311-cp311-macosx_10_9_universal2.whl
- Upload date:
- Size: 81.8 kB
- Tags: CPython 3.11, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d48c594662b30e3049063fb7b7f45a20ccd59a93fb60cb9b23c74e991e74070f
|
|
| MD5 |
75c1fbc6dae8782fe7168a73871cd10b
|
|
| BLAKE2b-256 |
6e2a2684cfa9b57b97463a2af8b7b0d4253a851b1540e91989e6b619981433a6
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 64.7 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a08032c7796e65fa096f6e90267cc6a816c273155cacea9462befe2c9e8c9992
|
|
| MD5 |
6aa340dfb469f29e4518c5e93f634ad6
|
|
| BLAKE2b-256 |
079fd2c9ac07b5a0719b82188a57a7c193b4531d81a9a36303bb2b674d5970b2
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-win32.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-win32.whl
- Upload date:
- Size: 56.0 kB
- Tags: CPython 3.10, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bef2cc1e549ee9816ec67e76f75f434aeec0212088aed28afe6ab3b7be2b5f0b
|
|
| MD5 |
3e785790c78ec3321ace99f4e53ced9b
|
|
| BLAKE2b-256 |
35b86fa25394730201146ecd4a7c569abda2315f881d0479279edd0020329e76
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-musllinux_1_1_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 204.4 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2abe3e3205bc972cb3404b03d7b3df2384e9fd418cafa8251e41a2239c8b5ec0
|
|
| MD5 |
3a1d7f1596612f198107380982b1a4c7
|
|
| BLAKE2b-256 |
b1f4727b2c00a909ac6aa13949e8040ab981fa4122fd7bf167f0f1cdfe04f4bd
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-musllinux_1_1_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-musllinux_1_1_i686.whl
- Upload date:
- Size: 177.9 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
604c3c19b695790d3ff8297fbc8020df53c439a29ce0fcfe5e8a5295a4597ca9
|
|
| MD5 |
d1186d35774472acdbf6ca9ab52c5931
|
|
| BLAKE2b-256 |
69408675b2588e6142cba1580ac0e795da560c3c5c6741e6bd18d89056b87a8b
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 174.4 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5c50c044236a5a6e84527b12a55a3aa7da2b64210af4cc5257f8385ab5890a24
|
|
| MD5 |
07d48e7a252843ba6cfb9331af097942
|
|
| BLAKE2b-256 |
55957d38b118c5854976744f9c92599d54d41d1c08c68c44e6ea4337cfa3a7e6
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 190.7 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.5+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a5b9ee9c1dd755adde6c0105777f8198abb01ac36c172aca79a7f9c7931daf0f
|
|
| MD5 |
784ec584ce415162f323c256965e3d7a
|
|
| BLAKE2b-256 |
df9947d550ca96d69927df436a04d04c8cde738350152ca453bb8ddaa1c09c13
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 181.7 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f42a86e6f945da494538c718f2ecc9f1913610746754153e4ef3f1e94bf7448e
|
|
| MD5 |
becfc9b0bcb11a8eaaf12cb35674938b
|
|
| BLAKE2b-256 |
5b32222e627481785b1129c182e3c730e3e99007608c112af20451eb48050625
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-macosx_11_0_arm64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-macosx_11_0_arm64.whl
- Upload date:
- Size: 50.6 kB
- Tags: CPython 3.10, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a5249e86569032d70b7e50749c939a338f2068e653590bc54dde7c7e153820d
|
|
| MD5 |
8a68efef4cb10c71b380f433bb8466d9
|
|
| BLAKE2b-256 |
6f561d3df6227a6062f2e2f04aba74726f0dfb7acca85a2714f339383bbfcca4
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-macosx_10_9_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-macosx_10_9_x86_64.whl
- Upload date:
- Size: 56.0 kB
- Tags: CPython 3.10, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e6c45beeda2bf5f8ac91bb9aee1d077067c9689b8ab6a9fb5ad41db1020d499
|
|
| MD5 |
9ae13bd001592f2f8c26202c91ccd9ce
|
|
| BLAKE2b-256 |
39d18c1f281473308fc2c29ec814902ef3d216ad621fae4a341efe0f64a8b380
|
File details
Details for the file numpy_quaternion-2023.0.0-cp310-cp310-macosx_10_9_universal2.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp310-cp310-macosx_10_9_universal2.whl
- Upload date:
- Size: 81.8 kB
- Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fb43eeabc831383a35031ed8b37cbb2c97e4fc41a11171b2373ceed6ac405892
|
|
| MD5 |
4555afc28ad384ee82af9a21d653c4fb
|
|
| BLAKE2b-256 |
4131707de551b6f4909b2a7aa5e7578d97ec5880cfb6744e37101fcb46f4709c
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-win_amd64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 64.8 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
30932955600368bcc1a7f9856c1c7f07defc0c1b5c35893c4ed5003fc0193ad1
|
|
| MD5 |
3e8241aacc710a6f847a5a2816f3959b
|
|
| BLAKE2b-256 |
b093446b36d23436507b48115d599f65edc76d6c6d04a9c135d5fefa5c97f833
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-win32.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-win32.whl
- Upload date:
- Size: 55.9 kB
- Tags: CPython 3.9, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8f812ad81be6e4c9aa769a6c819af7fadfd0bf48e7c4d7b6825f16afeb94389f
|
|
| MD5 |
447ca0fc28689139b0a099ba1919ef43
|
|
| BLAKE2b-256 |
390552d896af680f0d55b22672042a34ac90f8212073d40ceeb245e135d05eaa
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-musllinux_1_1_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 203.2 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0b579a0b1a2301aaa0c0a476b4e7837739d91ea0f49e2e6f912c7238bef4ad49
|
|
| MD5 |
237ec92faeaf4bbefce3e1bb1444be49
|
|
| BLAKE2b-256 |
db848656f514cd3891dd104adc16ff3ab071574e6a06d771f922e61f17027c1a
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-musllinux_1_1_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-musllinux_1_1_i686.whl
- Upload date:
- Size: 177.1 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e3c2e3e8837bd850322cbf1adbf61bef3404b0153da6315d02163b671b8cd965
|
|
| MD5 |
dd7bce1a919b75ec01e8bc10938c1a2b
|
|
| BLAKE2b-256 |
93a43624e6fe5d6d5b0efa5972415d86886cc6cbe59a3af6b60687becef587ac
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 172.4 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
903ed0f3531784b11c407eba368fe0c186becc5175cc3c9a22d07506635e97f4
|
|
| MD5 |
d93911f50c98ac9c73ab49670716da49
|
|
| BLAKE2b-256 |
5b4bbc884669338f6d9efdaab7c5f8a35060e8a9d6b860d1c9be4adc339ea0d0
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 189.0 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.5+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b292afb5b78a3b55d1f471dcf68d41594d5e19d1deead67f66d2f3ed8099c60c
|
|
| MD5 |
b7f2a56291fe4380b244f868a6c6b42c
|
|
| BLAKE2b-256 |
c58e53af47b963b11336f7214aba37feb5e8e59a714419904ae011062c1aa007
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 180.6 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
51ef6ed6f888a0da49d3e86a81f522262ce818b87370d2e9e07d191ae980cb9c
|
|
| MD5 |
2bb564ecd52e168408017801271fbed5
|
|
| BLAKE2b-256 |
319c2c422b03a87e46757e6343f3613dd8ad22d416ced1772695f5fe1c193cfe
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-macosx_11_0_arm64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 50.6 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ec44d1e9546adda4b6cc32a93c81a3c5a4d212ddb4182ae7a907dc16d3665a15
|
|
| MD5 |
7d062da8762e483dcf3d03d53cb32a5e
|
|
| BLAKE2b-256 |
efb37f78dc17b47b3efbaf026fab4e8949f03da7b8102879fde6f07cfa86951b
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-macosx_10_9_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-macosx_10_9_x86_64.whl
- Upload date:
- Size: 56.0 kB
- Tags: CPython 3.9, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1ce70c15e371abdbb32c4bc83cb0132a1f345e3c9603372d745a5fd4a9be4730
|
|
| MD5 |
a2e3fa800c734bf82de98ee978af50eb
|
|
| BLAKE2b-256 |
52a5e99522ac8ae83dea44a4856f2bb1690ad3c0fd263cd60fe9337058311497
|
File details
Details for the file numpy_quaternion-2023.0.0-cp39-cp39-macosx_10_9_universal2.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp39-cp39-macosx_10_9_universal2.whl
- Upload date:
- Size: 81.8 kB
- Tags: CPython 3.9, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6fa1e67d2f33288bc35ae01118a541b4059813ba664f1175e2bac05740532aaa
|
|
| MD5 |
a3887ba841cb6d4c7c74aa861b812ae5
|
|
| BLAKE2b-256 |
97f48ab4dd34c7b6ffcea0e255ec0fd17771c93ea8e464e19fed8f7d7b6dde33
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-win_amd64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 64.8 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f6efabc08881f57b8c39ad9c18fe9e83028209074a603c69897555a53e3c1d11
|
|
| MD5 |
cea69ab327d394dc59b0aec782fb4cbd
|
|
| BLAKE2b-256 |
00a15f014a5b6989423378fd808c86cc06cf5d4134d5faeacf230d2e2c1215e9
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-win32.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-win32.whl
- Upload date:
- Size: 55.9 kB
- Tags: CPython 3.8, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd8f250f8359ffe79cbab30d4e16d918d89373d80654e91cf36bd2a61d271012
|
|
| MD5 |
8dbf925e2f545dea816a44433cc1cd6b
|
|
| BLAKE2b-256 |
30993b0aed6aa33a614eba17cb4b748dc00923b30ac0eb30f033192c39e74ce6
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-musllinux_1_1_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 205.3 kB
- Tags: CPython 3.8, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ceafe60808e15ade815f3d41bddff2539a918882faecc0ae26cbaa574fdb9e30
|
|
| MD5 |
d0b4093ebb1e9b2baf6dbc2b3a12bbe8
|
|
| BLAKE2b-256 |
f74cbf2e40d05e16683a2147e2242dbcc9457c821dae24689ee83dcd4e11b87e
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-musllinux_1_1_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-musllinux_1_1_i686.whl
- Upload date:
- Size: 179.0 kB
- Tags: CPython 3.8, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9ce1e5b8669d9e5cf2c04121eecf3e0caf80d4b39cc0eb16c34898404c54f491
|
|
| MD5 |
6607c8a21c10e94883153476d2dcd6b0
|
|
| BLAKE2b-256 |
fc15b6cfd6ad59ec8c9675dfd7d93b622c28a690a90b640902de52fc7fd6f4e4
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 172.2 kB
- Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
39f2f6d59c9ad91830038598ec247652e72f44ddb290785ad9bbc5e37039e583
|
|
| MD5 |
e39aa7bc536c1773e594e91402d7e4af
|
|
| BLAKE2b-256 |
15e935a00e4fbef8e53a27926c711e200c3f65f25b4527710d61f625e0c8bfaf
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 187.6 kB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.5+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
49f4b27a065676b21ab036b187f813b8523a8810e64264adc2dac517810d3b47
|
|
| MD5 |
9ae5b3703818a72e4866e4da960d5962
|
|
| BLAKE2b-256 |
5cfc11cb837430ea37abdee00df71a97bff3682777348ec247632a6ea873ebb2
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 180.5 kB
- Tags: CPython 3.8, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d6b5a820dc3120627edc1f8a51b40a516373b2d2ceb27610494e01ef66d9a62
|
|
| MD5 |
e7ffcee47da2c85b7ea6838fd20ef529
|
|
| BLAKE2b-256 |
e56beddfc0f4e8aff249f7be34f6bd95ba2285d4cd2db5c03b9f0edd85059897
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-macosx_11_0_arm64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-macosx_11_0_arm64.whl
- Upload date:
- Size: 50.6 kB
- Tags: CPython 3.8, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75768ad9cacbfe511dd9e1f1c02ccae8d4da5135e2a0059dbd393e0118b08e7f
|
|
| MD5 |
80a76e0a00f374aac1e603abf6d20227
|
|
| BLAKE2b-256 |
4be223a03a3ed4eb5ddfae553984b42dbbd5f655f08c0cd468517e38fc53c208
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-macosx_10_9_x86_64.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-macosx_10_9_x86_64.whl
- Upload date:
- Size: 56.0 kB
- Tags: CPython 3.8, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca0449c77427e1fdbd823be0341801464011d146cb051f07e3a6a79880c33d69
|
|
| MD5 |
4efb5c478298ab6eb508d18a87fa642c
|
|
| BLAKE2b-256 |
f14bab25716f5740bc48a5b2f04c7690f787253cd47c47409095741b79bc5b81
|
File details
Details for the file numpy_quaternion-2023.0.0-cp38-cp38-macosx_10_9_universal2.whl.
File metadata
- Download URL: numpy_quaternion-2023.0.0-cp38-cp38-macosx_10_9_universal2.whl
- Upload date:
- Size: 81.7 kB
- Tags: CPython 3.8, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c96d3bcf7f1fcdeb161ceb88b43926d0bf9fa07b26cfbd4e4fa181e8795955ef
|
|
| MD5 |
db61b1d87bb37b4ba3d6da1182f47f78
|
|
| BLAKE2b-256 |
f9fb4230f87eefd2e1ab727d8857def561e66e1dc908ef70d3e0b70b806ac45c
|
