Wheels for the Pyrvo23d wrapper by mtrmel

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache License
  • Author: Jur van den Berg, Stephen J. Guy, Jamie Snape, Ming C. Lin, Dinesh Manocha
  • Maintainer: Jonathan Tinoco
Classifiers
Report project as malware

Project description

Python wrapper for the RVO2-3D Library https://github.com/snape/RVO2-3D

Tested on:

Ubuntu 16.04 LTS x64 (64 bit) machine - Python 2.7.12 (default, Nov 19 2016, 06:48:10) [GCC 5.4.0 20160609] on linux2 - Python 3.5.2 (default, Nov 17 2016, 17:05:23) [GCC 5.4.0 20160609] on linux

Windows 10 Pro, x64 (64 bit) machine, win32 - Python 2.7.10 (default, Jan 25 2017, 13:14:03) [MSC v.1900 64 bit (AMD64)] (http://p-nand-q.com/python/building-python-27-with-vs2010.html) - Python 3.6.1 |Anaconda 4.4.0 (64-bit)| (default, May 11 2017, 13:25:24) [MSC v.1900 64 bit (AMD64)] on win32 (Anaconda3 4.4.0 64 bit)

Wrapper inspired by https://github.com/sybrenstuvel/Python-RVO2

Original Readme

RVO2-3D Library is an easy-to-use C++ implementation of the optimal reciprocal collision avoidance (ORCA) formulation http://gamma.cs.unc.edu/ORCA/ for multi-agent simulation in three dimensions. RVO2 Library automatically uses parallelism for computing the motion of the agents on machines with multiple processors and a compiler supporting OpenMP http://www.openmp.org/.

Please send all bug reports to geom@cs.unc.edu.

The authors may be contacted via:

Jamie Snape, Jur van den Berg, Stephen J. Guy, Ming C. Lin, Dinesh Manocha Dept. of Computer Science 201 S. Columbia St. Frederick P. Brooks, Jr. Computer Science Bldg. Chapel Hill, N.C. 27599-3175 United States of America

http://gamma.cs.unc.edu/RVO2/

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache License
  • Author: Jur van den Berg, Stephen J. Guy, Jamie Snape, Ming C. Lin, Dinesh Manocha
  • Maintainer: Jonathan Tinoco
Classifiers

Release history Release notifications | RSS feed

This version

0.1.6

0.1.5

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

jt_pyrvo23d-0.1.6-cp313-cp313-win_amd64.whl (52.0 kB view details)

Uploaded CPython 3.13Windows x86-64

jt_pyrvo23d-0.1.6-cp313-cp313-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

jt_pyrvo23d-0.1.6-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (343.5 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

jt_pyrvo23d-0.1.6-cp312-cp312-win_amd64.whl (52.5 kB view details)

Uploaded CPython 3.12Windows x86-64

jt_pyrvo23d-0.1.6-cp312-cp312-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

jt_pyrvo23d-0.1.6-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (346.8 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

jt_pyrvo23d-0.1.6-cp311-cp311-win_amd64.whl (52.9 kB view details)

Uploaded CPython 3.11Windows x86-64

jt_pyrvo23d-0.1.6-cp311-cp311-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

jt_pyrvo23d-0.1.6-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (349.2 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

jt_pyrvo23d-0.1.6-cp310-cp310-win_amd64.whl (52.2 kB view details)

Uploaded CPython 3.10Windows x86-64

jt_pyrvo23d-0.1.6-cp310-cp310-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

jt_pyrvo23d-0.1.6-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (331.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

jt_pyrvo23d-0.1.6-cp39-cp39-win_amd64.whl (53.0 kB view details)

Uploaded CPython 3.9Windows x86-64

jt_pyrvo23d-0.1.6-cp39-cp39-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

jt_pyrvo23d-0.1.6-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (332.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

jt_pyrvo23d-0.1.6-cp38-cp38-win_amd64.whl (53.4 kB view details)

Uploaded CPython 3.8Windows x86-64

jt_pyrvo23d-0.1.6-cp38-cp38-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

jt_pyrvo23d-0.1.6-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (331.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file jt_pyrvo23d-0.1.6-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 66031ebb25c810c57ab34d3e2ef534a17007a62d61e66030776f7497ced9abf7
MD5 bdb50426ec8cc13d78318af533aa21a3
BLAKE2b-256 ebe7ef8e2d548061a22ca3a16f5196d6571972bf6430e8788a117ef5f3509282

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ad7b97edf01e5c5ab76a379759b19cdfbdfdcee824aa95b0dcf032894681ab86
MD5 0f2a89b2ff21e485a06f5fbe182c32dc
BLAKE2b-256 88eea080b470e2faa0f8415df7bae093efabf07c1461578e76a0dde12c525d44

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0d143c03edbbac8df7e59036031564b0f3b51d4a476f8e2d50bae5de67e2ef48
MD5 2bba5e1018c5ed61ce52e3f19fb24983
BLAKE2b-256 61998fe3739f1a4d80763d8d34e9c348547ae8dde3bf6dc8eaf713f3d4eac095

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 b2278d92854e4dc8722edd8bc92f14d47051fe0e68e69381eda1deed10fd7633
MD5 324957be447b92bc986a4d54589ebedc
BLAKE2b-256 fe0562ad9084ddf007b85bce339b9728664adfee03aaacb1ea77164afdd429ba

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 631ffbf762e7c8bdd7e156b232a5281ec6e159b879dffbf7cc9d81e2aac3c0b9
MD5 9064734d06656912948a4ef81de68b04
BLAKE2b-256 d73c9ca312beca72eea07cfed456d8d9ad2bc421a7d943a23fc807b61522a3bb

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4c1712097c3f52b9be73df654ca1f90d172e308ecab195bd05bed2657203bbd0
MD5 1d0353bb382822c107edc2dad1325adc
BLAKE2b-256 ce0336928a58904bcbd808ff2bf66c2f1635dc6ec614ccb341c1571f8b67b55c

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f03a4a423d9081b98b488c2fb5346d41d1d55fb657f0f03491a73dd1e0f2159a
MD5 e0a7f80d951a5b156781503ad8947665
BLAKE2b-256 f7388cf5886530bf7824bce6286fda393018a524f2e1f23eadc65798b17deafd

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 cf6cb84c4aac7bea26ef97272435efaf0950ba3c5d1e7947a7eae79b4744693d
MD5 01afaac790c25e57c0850df757d8b7eb
BLAKE2b-256 922a06bb8c64a10473fec35f42653f73f6c1a6ac5773eddf0be63376affa221b

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e4d5ffeb8ba0f1f35de5960cc5ff1c395f8881fe59c63332ec3caddd0fddc4c8
MD5 cd8caec7263d8f3f0cdcfcd66a84f36f
BLAKE2b-256 0ee83e2cf54cc87a4d05f4da014fb9e2efe5250b70bd14d4f2dbe3a20d694970

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c6b692ab508acc682be24ff8b93569a7816606f02ead1360bd413ff6e5df30b9
MD5 4c63516f3b2acc2c28080de13187ae70
BLAKE2b-256 699654a66beeade5dc159a8a0e2e6f3689cde3a2933c6e49c66d5b1090fdbafc

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ae998cab79c93442370a4602a303b1676c8737057355f58da9b0a6270af6afde
MD5 3f2b5837f3a6ec08db77ca1a133401da
BLAKE2b-256 7d21541f256ce1cb5aa0b5763a7d093adf259c7f730da37c6e2b9122399fd860

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 557467721a95470e06abf0f4b3c371f126646ae6e009a6f520d0dfa31e5b3e86
MD5 08551977b36fe35380a227a338b06cdb
BLAKE2b-256 41e04bd42f723d887bfc27d1f4d142d6927f9b49cdadabc42bc297e59bff2ddf

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: jt_pyrvo23d-0.1.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 53.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 5dc9d12d20ff602806fef07e4995daaf25ded46065c52606f19022b039df5007
MD5 be5a8ac649e3f5a0c597a4e09df5055b
BLAKE2b-256 d2ad54d39b015fb7a98df873b7f734ac8a7c3c68f2a5ec985c5b885c431ef511

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 0d080a6521685c93cac4461c19ebe55d2ab0cb97f219d381ef7d3c6a34a0d44f
MD5 c4b160c891c204d5b164de3ad381f61b
BLAKE2b-256 0b0e6174b03276142fb942f62929117f246db55c5e75025244836af7c1debe6b

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 320d2228c0390432ce090eb3c18823cfde76c0a31aa8ffcc0bb4ee2e6b384524
MD5 e6d6c0609c6347258e127916b33d4376
BLAKE2b-256 4d1c431d98e9661c7bbbcbdbc008c42e02741c6aef2a81202ccbca1ae75d0a1e

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: jt_pyrvo23d-0.1.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 53.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 6ed883fe25591c080d35ce36fe458864dae25174310a41a56bf9091a6770e354
MD5 3face0b5cb127e88c503ca07a4c38ae6
BLAKE2b-256 185a3195ccae6347900c2dcf23f294e6df64bc43f22e2e5a5093ed31d059eb88

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ca7491ebff5c696be486981385b8465eb205d26183ecb8322cba75367d16f946
MD5 430e516ff40b1b4cf239f3be8fe11448
BLAKE2b-256 1136a7e70d2925eb1836206017d6c58a925f98d82d9eb9c0f251feb505bc25f8

See more details on using hashes here.

File details

Details for the file jt_pyrvo23d-0.1.6-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jt_pyrvo23d-0.1.6-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8026af38dae279bc9e1b56030aa0e3466ed71d50ac459eed720b53eaf75dc60c
MD5 62dfb954dc7b655b098118e673ef7f8a
BLAKE2b-256 5a5a5f42b02e9d28bfd3230b407053b4da97c5af3a159404cbe58c86919a6254

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page