A library for clothoid curves in Python

Project description

pyclothoids

A Python library for clothoid curves

Clothoid curves have some remarkable mathematical properties that make them desirable for use in many areas of physics and engineering. Not only is a clothoid parameterized by arc length, but it has closed form expressions for its tangent angle and curvature. These remarkable properties come at a cost. The cartesian coordinates of a clothoid can only be expressed in closed form in terms of the Fresnel integrals, and cannot in general be evaluated exactly.

There has been significant research into numerical algorithms to evaluate, construct, and manipulate these curves. Software packages exist for this purpose but are often difficult to master. This package takes a different approach, aiming to be easy to pick up and experiment with. The ultimate goal is to provide a simple, intuitive, and pythonic interface to state of the art numerical software that allows you to leverage the latest research without the learning curve.

If you have a problem that you think could be solved using clothoid curves, this package aims to handle all the complexities of clothoid geometry for you so that you can focus on the top level problem you are trying to solve.

That said, clothoid curves aren't always well behaved, and there are many other simpler curves that are far easier to understand and manipulate. Before you use this library for a project, be sure that other simpler geometric constructs such as B-splines will not fulfill your needs.

The main design goals of pyclothoids are minimalism and simplicity. For that reason, the top level API for this module consists of only one class - Clothoid. To prevent common errors and further simplify the interface, Clothoid was designed to be immutable from the top level. This means any methods that transform a Clothoid will return a new Clothoid with the desired modifications while leaving the original Clothoid intact.

Project details

Release history Release notifications | RSS feed

This version

0.1.5

Jul 15, 2023

0.1.4

Oct 29, 2021

0.1.3

Mar 22, 2021

0.1.2

Jun 22, 2020

0.1.1

Jun 22, 2020

0.1.0

Jun 21, 2020

0.0.8

Jun 21, 2020

Download files

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

Source Distribution

pyclothoids-0.1.5.tar.gz (127.2 kB view hashes)

Uploaded Jul 15, 2023 Source

Built Distributions

pyclothoids-0.1.5-pp39-pypy39_pp73-win_amd64.whl (110.7 kB view hashes)

Uploaded Jul 15, 2023 PyPy Windows x86-64

pyclothoids-0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (322.4 kB view hashes)

Uploaded Jul 15, 2023 PyPy manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (340.2 kB view hashes)

Uploaded Jul 15, 2023 PyPy manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (253.0 kB view hashes)

Uploaded Jul 15, 2023 PyPy macOS 10.9+ x86-64

pyclothoids-0.1.5-pp38-pypy38_pp73-win_amd64.whl (110.8 kB view hashes)

Uploaded Jul 15, 2023 PyPy Windows x86-64

pyclothoids-0.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (323.6 kB view hashes)

Uploaded Jul 15, 2023 PyPy manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (340.2 kB view hashes)

Uploaded Jul 15, 2023 PyPy manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (253.0 kB view hashes)

Uploaded Jul 15, 2023 PyPy macOS 10.9+ x86-64

pyclothoids-0.1.5-pp37-pypy37_pp73-win_amd64.whl (110.6 kB view hashes)

Uploaded Jul 15, 2023 PyPy Windows x86-64

pyclothoids-0.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (324.6 kB view hashes)

Uploaded Jul 15, 2023 PyPy manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (340.8 kB view hashes)

Uploaded Jul 15, 2023 PyPy manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (252.7 kB view hashes)

Uploaded Jul 15, 2023 PyPy macOS 10.9+ x86-64

pyclothoids-0.1.5-cp311-cp311-win_amd64.whl (112.1 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 Windows x86-64

pyclothoids-0.1.5-cp311-cp311-win32.whl (98.1 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 Windows x86

pyclothoids-0.1.5-cp311-cp311-musllinux_1_1_x86_64.whl (4.0 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 musllinux: musl 1.1+ x86-64

pyclothoids-0.1.5-cp311-cp311-musllinux_1_1_i686.whl (3.9 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 musllinux: musl 1.1+ i686

pyclothoids-0.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-cp311-cp311-macosx_10_9_x86_64.whl (293.6 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.11 macOS 10.9+ x86-64

pyclothoids-0.1.5-cp310-cp310-win_amd64.whl (111.4 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 Windows x86-64

pyclothoids-0.1.5-cp310-cp310-win32.whl (97.3 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 Windows x86

pyclothoids-0.1.5-cp310-cp310-musllinux_1_1_x86_64.whl (3.9 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 musllinux: musl 1.1+ x86-64

pyclothoids-0.1.5-cp310-cp310-musllinux_1_1_i686.whl (3.8 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 musllinux: musl 1.1+ i686

pyclothoids-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-cp310-cp310-macosx_10_9_x86_64.whl (292.6 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.10 macOS 10.9+ x86-64

pyclothoids-0.1.5-cp39-cp39-win_amd64.whl (110.1 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 Windows x86-64

pyclothoids-0.1.5-cp39-cp39-win32.whl (97.4 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 Windows x86

pyclothoids-0.1.5-cp39-cp39-musllinux_1_1_x86_64.whl (3.9 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 musllinux: musl 1.1+ x86-64

pyclothoids-0.1.5-cp39-cp39-musllinux_1_1_i686.whl (3.8 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 musllinux: musl 1.1+ i686

pyclothoids-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-cp39-cp39-macosx_10_9_x86_64.whl (292.8 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.9 macOS 10.9+ x86-64

pyclothoids-0.1.5-cp38-cp38-win_amd64.whl (111.3 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 Windows x86-64

pyclothoids-0.1.5-cp38-cp38-win32.whl (97.3 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 Windows x86

pyclothoids-0.1.5-cp38-cp38-musllinux_1_1_x86_64.whl (3.9 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 musllinux: musl 1.1+ x86-64

pyclothoids-0.1.5-cp38-cp38-musllinux_1_1_i686.whl (3.8 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 musllinux: musl 1.1+ i686

pyclothoids-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-cp38-cp38-macosx_10_9_x86_64.whl (292.5 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.8 macOS 10.9+ x86-64

pyclothoids-0.1.5-cp37-cp37m-win_amd64.whl (111.9 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m Windows x86-64

pyclothoids-0.1.5-cp37-cp37m-win32.whl (98.5 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m Windows x86

pyclothoids-0.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl (4.0 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m musllinux: musl 1.1+ x86-64

pyclothoids-0.1.5-cp37-cp37m-musllinux_1_1_i686.whl (3.9 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m musllinux: musl 1.1+ i686

pyclothoids-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-cp37-cp37m-macosx_10_9_x86_64.whl (292.0 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.7m macOS 10.9+ x86-64

pyclothoids-0.1.5-cp36-cp36m-win_amd64.whl (138.4 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m Windows x86-64

pyclothoids-0.1.5-cp36-cp36m-win32.whl (120.0 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m Windows x86

pyclothoids-0.1.5-cp36-cp36m-musllinux_1_1_x86_64.whl (4.0 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m musllinux: musl 1.1+ x86-64

pyclothoids-0.1.5-cp36-cp36m-musllinux_1_1_i686.whl (3.9 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m musllinux: musl 1.1+ i686

pyclothoids-0.1.5-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m manylinux: glibc 2.17+ x86-64

pyclothoids-0.1.5-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m manylinux: glibc 2.17+ i686

pyclothoids-0.1.5-cp36-cp36m-macosx_10_9_x86_64.whl (292.3 kB view hashes)

Uploaded Jul 15, 2023 CPython 3.6m macOS 10.9+ x86-64

Hashes for pyclothoids-0.1.5.tar.gz

Hashes for pyclothoids-0.1.5.tar.gz
Algorithm	Hash digest
SHA256	`ebd0ecb04221499461b7665420f0ee86d61e5dcab650c143667e83070cd2a601`
MD5	`7f70818f5752b1161cf474db941b0343`
BLAKE2b-256	`ded3227edc09a22c5ba7e357241525ba569aeb954e95c10b318e0f8737bdc5f5`

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-win_amd64.whl

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`a3450065c5c5285a62e5c13205647cbffe828eff3826658fc9a2ba59821cc5a9`
MD5	`69980fa93e6814c33f093ab73026f7d5`
BLAKE2b-256	`0472696f518377ec89ab964817ab1f7c372b95aa0d506da3f797377769407a22`

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ad9562ab68bf323a1faa1638f30a23ff4991558617698e7ab7b785f975513a8d`
MD5	`ed3d1bd1599d4fbe065c03275b425fe2`
BLAKE2b-256	`8d7ad1dd6f20762d4e9aee742be404aeda0b4212305fbe2df944d4fb7e46c398`

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`7637a9ad58445e2f74223108b16d34f30636cb138b3b156421d9e08a039ae8c2`
MD5	`85120a60c411769832cd094b19ec0faf`
BLAKE2b-256	`72fde38dd301671b5daeb5686d4aea2d04960858c543bcc42d8892e53822556e`

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`43cd62e1bc1b35bbb4e1137fff65b167839b395ce04420f382c08ed3f3200861`
MD5	`66cdcba5495de56e28d32130ac938a74`
BLAKE2b-256	`cd5c7c2731ec09a6266bebf0d3874166fc35f7436ee7e17b538b00c3289ef845`

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-win_amd64.whl

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`6c0e659ec32808816e6e53f947e9074664036612ceff20b104ab8d261e7df5ac`
MD5	`1480032883cd439c5951f09514e31b80`
BLAKE2b-256	`782c29cb66d5b1fcc24d1bdee784a7dc5bd83ec555856fad1fb55f509ae3562d`

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`46eb06f0304a9239fe17eb07405d27b5eefa54467371afb182394259387983b6`
MD5	`c5c7b76f513415b8c511109d10fd2233`
BLAKE2b-256	`03374263442163d7ff8d54068a769d444fcc69ff021d1daa2294e33c82bc3ad6`

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`88f5bc7b06a981d1e1b18988fa032271951250c6b9b10dfb32defa5da2131234`
MD5	`b8d638d3f7020aa84112622ae602d7a1`
BLAKE2b-256	`44ed17895bf32a37e3af04d00d642d9d190950f2c9e006f9714889d31069c340`

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`302467febde8023e2830a5faa88dfb236decec9699dae75c1f9b98be102c0c27`
MD5	`e2b65c65f06c7326ecdd1174e1d16fe8`
BLAKE2b-256	`acaa4854dc8baea980a0a1f51b63003dd708d13082fa633a6c52eb4c4ee87a92`

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-win_amd64.whl

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`d1b9708e3a558bd49f8709a6c7d020cbb0c8019c304934d011fdb148f88ea4be`
MD5	`22968d656817b65d0ccdce0997a44acd`
BLAKE2b-256	`f49d9bb8ba8f71ca3c45abcc5c980949440eae150b7b55ca7df28182e51bb057`

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`6d983376ad922973b07492a1bc636f426c965e2fcd0f625bd2baf3d3935cb15a`
MD5	`bf2005ea47a1a99363a1baf686fd6f5a`
BLAKE2b-256	`253a4795190aab49640dd5ec1ab47a8b4d09383b329ea647956cfd501ae1dd57`

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`b784dc5571d69df17e5b210341134c9a322113e2185d3faa7a154ba79e330ea0`
MD5	`cbbd2f6e3b756448298be1f9b4e9da8e`
BLAKE2b-256	`bce6a6965edcf9b159d7916ccb40d0044f7ea8023a2cb883ea572e6555ffffea`

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`56ee1513b30b8e716645dd50eabcdc861b15c0f1664ca6ff2a5d21bccd0e6f20`
MD5	`df4aeb4090e57f21f29118f919b4eb55`
BLAKE2b-256	`5caeeea12c51aaf59b364c54f5ac168cd287c83a2fbe02b79b8326868185b144`

Hashes for pyclothoids-0.1.5-cp311-cp311-win_amd64.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`69a9fc8a27c06b0584422c8c0eafc76d4a9128bb665c8a82c9605fe45fbe1f69`
MD5	`5d46aa27f0c6a743fb207a8176f7074b`
BLAKE2b-256	`35b638b8c6736b2fb8d8b75ca8485a335f81d4d0c4d3069cb026b3d22efa6189`

Hashes for pyclothoids-0.1.5-cp311-cp311-win32.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-win32.whl
Algorithm	Hash digest
SHA256	`3f98fcd01920b5d56dbd695df8cba87097b835c1f80e0354ee455cdc52a930b8`
MD5	`2cf1435ec52c2bf070ae26e40e468eb2`
BLAKE2b-256	`bc154360be428036610118bab6c4275252e4dcb989f68529fb6514dd5890aa8f`

Hashes for pyclothoids-0.1.5-cp311-cp311-musllinux_1_1_x86_64.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`162eb604973c41d54ef65bc5b85f9518d0a98698716ec17a3000ff3f04be828d`
MD5	`4072fe23e23e43fb7098245b13855637`
BLAKE2b-256	`4f3ab70d89475aecd4c0d834db2b9e3fa003b27ce4a2124eccdf508559c06aad`

Hashes for pyclothoids-0.1.5-cp311-cp311-musllinux_1_1_i686.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`c093e9b9af00f115197833b93a2611f9d308e50addc1be46581dd093dc1449f0`
MD5	`b234eb72c3c4a620b86b7272cb9ebe49`
BLAKE2b-256	`abe594022854e6d425d5db2baae6cab3e2a624520aa59b3642aaf131ef73bf27`

Hashes for pyclothoids-0.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`4bd1bdbd127054fd5948a15b5dd2560460942b0579a5548d2f6f7cf1ea0bb5b7`
MD5	`c827a0c10cce403bb7d423121ba20c2a`
BLAKE2b-256	`f17ae7011df884b47d22ae780188b5094233c42e33fff36e13505629c31005b7`

Hashes for pyclothoids-0.1.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`36595dc4667a209cda781c40d1468515eb9fb78d5e4a22c39fb4fc9538c9d7c4`
MD5	`8e224e0822c66536584ce2f5c164eb93`
BLAKE2b-256	`2fa5e4fa8ab9b0c72ba1af9d387d704da3daea3ac4841a9c8b9ecae1b219b5e3`

Hashes for pyclothoids-0.1.5-cp311-cp311-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`e413cd16d1ec35ee9b399f4efcf79fcc07d5550a533cacea079fa8b32d5d9d65`
MD5	`59ee112e42ce408bb3cb220bcc27895f`
BLAKE2b-256	`141a27e374462dd2c390a39fb80c5197a92ce378f216dbd27c6478f55eeaa88a`

Hashes for pyclothoids-0.1.5-cp310-cp310-win_amd64.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`d4690dabbebe32f450820783e9ae71e316cdc5dc7e03c99b97c4fdb402c7561a`
MD5	`ab6c3d076cbd0152cf220703ec0b68f7`
BLAKE2b-256	`ab992d3fa8b6acd1851b1b4447f9a2837cc0d99a7cbb3c6e94dea8af5d1d4daa`

Hashes for pyclothoids-0.1.5-cp310-cp310-win32.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`bbe76f00150f8742472753f31a4df16c8963a36a7bb9dffa9156a1ca9e1a1fd3`
MD5	`0c6f3be5627831972cd5f2a1d2ea5850`
BLAKE2b-256	`f325307af4fb8a73d29e69db1f19abb08a349301c20d674940b624cba33e789b`

Hashes for pyclothoids-0.1.5-cp310-cp310-musllinux_1_1_x86_64.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`a29002085b964483a3a90891ce1d9b3dbe2320794e35f1db591bf366877f0522`
MD5	`d336666111c1ffc6934b955d915ad569`
BLAKE2b-256	`1f08a2a69205d7d679c7666086a10cbc770b16eb04e66971ccec44f42b2e4640`

Hashes for pyclothoids-0.1.5-cp310-cp310-musllinux_1_1_i686.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`ed55f098a0bedbf9b2358ce768a60b3b6a107376538bb8655395d3ed5332bc3c`
MD5	`3854f95752107b889fe079afd056b783`
BLAKE2b-256	`38c1876ba0f4f04c4bd7c9178231f9ab678f9132c2666464deb72dac3e02d3f3`

Hashes for pyclothoids-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`574074835bd4a369cdea6bde5b07e90f94e3a960cd25300593aec1f77cb696bd`
MD5	`c2b8c6e0b5839901c9b39388ce45d674`
BLAKE2b-256	`03ff5516580a71830e6dd3c26f6df3a88d9ea86c4978f7e7904e4ea943764d2e`

Hashes for pyclothoids-0.1.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`e9cc6c08ebcefd6c0950c43ff6698eccf9fd21eb208ce9f5ff5adc336710f439`
MD5	`2b3f6dbcfdde46d25b38dc453bcebc93`
BLAKE2b-256	`d258e18a5902f13ccc97861eaa8d8f57f8682c99bc739205ac245e9c24b9f771`

Hashes for pyclothoids-0.1.5-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`b00b55be0b1ff63ec5ac3b6875c0891a7c117163fed2b830e1d679a6eb810a0a`
MD5	`39b62195c706dd4c331f8d41c0a8acd9`
BLAKE2b-256	`75a55db16d7915a628786c5d6f92cf4c59d10c7b967130aaf3d336ac910bfeff`

Hashes for pyclothoids-0.1.5-cp39-cp39-win_amd64.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`a1575d8111fab09c03ab9bd3aa524d04d0b9940028888d10e63d0869a40c0c87`
MD5	`fec6a13b14203b398a4c01cea28e3b79`
BLAKE2b-256	`7e8acb8ff2952a24046225a0805719bf8a94c08cff45538f679158b6e751ee56`

Hashes for pyclothoids-0.1.5-cp39-cp39-win32.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`24d2430e735a72e1fc0128f27c9584e8d7df828066a07c9efdcd7b2e1966b2ed`
MD5	`ae3befab4b8cf88eccb7bb9fcf819ff5`
BLAKE2b-256	`1d20db525d8e2ac68e0a52ea7f4e7bd325c6ac0b5f8b83f1480d703bf57d20b2`

Hashes for pyclothoids-0.1.5-cp39-cp39-musllinux_1_1_x86_64.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`e9db4441fb579e17496cfe04e4be576aef42a923a7187d5ddc6d10346cce4674`
MD5	`ac43d0829c83a81f1e0adca3e27958d8`
BLAKE2b-256	`c1a3920bb23635d4b11488f3e99124674f67059ca2da1f924dcfa137dd25eb67`

Hashes for pyclothoids-0.1.5-cp39-cp39-musllinux_1_1_i686.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`2a8dd945d848b2ec0f869a35e48d8af07a164c44d774be5efec7cc1fc02846e6`
MD5	`96253376b8e5e857d9c0530c6f7a2701`
BLAKE2b-256	`ea7921a601de660db2a28e81d24b2da135493eabc06969efc2d9968a0892d9fe`

Hashes for pyclothoids-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`dc2ec8a493a54ea8adf9f5481c16553aeca7d35d0903fe9b37f406c4c2888a0f`
MD5	`9c6159e1a88cb113f8008646cc496b0a`
BLAKE2b-256	`4dfb3d1367690b272dd447bba615ebf9db0be3b6fcb2fd1db59e7bd3f1f3128f`

Hashes for pyclothoids-0.1.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`ff1fb127eb78dac6564a8d15641ac6bcbe6b058bb4afd93cdf71f35b6a6d79b4`
MD5	`05f5a8677ddf5321877292ea9980e17b`
BLAKE2b-256	`11d5edd91f7d86f628932f97a5aee4ab7794a9bda86d3dd89014a6106c799da0`

Hashes for pyclothoids-0.1.5-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3dce9ce2cea6d340214c44423fd7d29c0b0b0248bfd24143d2d36ed90987d86d`
MD5	`ad6dc4aa8eb63d5d7cd944c838a2d69c`
BLAKE2b-256	`94819fc8916430ddec46689a0fe92dd4aad8dcafc54d3079177281c82bc3b150`

Hashes for pyclothoids-0.1.5-cp38-cp38-win_amd64.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`70adc69425cb36a3d0d029d34de6b67a46e28e2026440091a536c0127f60dfd0`
MD5	`735baf091265cfa1f981c3c540a1b62a`
BLAKE2b-256	`85143ec60ba800c0b55396b562d496b24bdc4fa834d06d9cd918a78c8836b597`

Hashes for pyclothoids-0.1.5-cp38-cp38-win32.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`edde2e79cbd3f9e7d8ee32b2b87c1bbdb1d5b364c478fe5f07dfeed6d3a53370`
MD5	`92207a7c4b853c35b4b82d28749e4c63`
BLAKE2b-256	`412f951d40f01bf85757092b4dada5c1303a57aaa1a4ecb0b559355738477a79`

Hashes for pyclothoids-0.1.5-cp38-cp38-musllinux_1_1_x86_64.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`d4ad3794061ed7948cf50c887ed8ed5cef4b754d4ecf7038c12ef14805e8de2c`
MD5	`7a5402bbb0e28c914d08d605e342dce7`
BLAKE2b-256	`90855c242de62e9c2c32a23c5c5d66ebf6f5963efb2e40c8affdb5beb68b8739`

Hashes for pyclothoids-0.1.5-cp38-cp38-musllinux_1_1_i686.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`315d6227e42ebe7d9afd5c5ec9a889036cb4558def730c65bc7f3fc139b79103`
MD5	`1e5dfce6fafc9525b6beb57f1a9e264e`
BLAKE2b-256	`1f2ccbd36ab1a2aeefaf57dfcec83ca4645fbd986459780d404cc756b4b106f6`

Hashes for pyclothoids-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`1fc8d776bd1940fbf1387b66f955c06edddfa6930d13ff5071f6ff97bf3f2a4b`
MD5	`2030da8d49d24045073c00085bc1953a`
BLAKE2b-256	`f7da48f41347197cba2939510b5dd7c2b1ba44bd7045a6ee40cdcdd71ea1a301`

Hashes for pyclothoids-0.1.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`0621a4de12aab7392654f94622d2f50666fb5ef5ced24cd1a568c35d606a8fcf`
MD5	`2af18f84919d4f0900c2dd27442f02d9`
BLAKE2b-256	`df343b95471ba56adcc0dd2769b2dbaa5a0fe31e639a0db0bf13caa2a2ba81fb`

Hashes for pyclothoids-0.1.5-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`2cd49b54cc47b51168c101013c6849cf5d4e1418c584f6743d603d6782ac80ca`
MD5	`37d9043087f4fd94ac5a3c72d30bf13c`
BLAKE2b-256	`8908b315ed1e6a9798102ee7ef56efda7fbc8fc48bc365c858ce2fd1b33b860f`

Hashes for pyclothoids-0.1.5-cp37-cp37m-win_amd64.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a77082faedca597988bed1687580e7a0b7c998ffb38a4bff6242985b8eecfdb7`
MD5	`37a23b016dfc84b9ccc0ae920225cfed`
BLAKE2b-256	`81c0c87854a2f9a81fbc6cc41d0ab9097f58177fdbfb88e192d6f0d7b75866a2`

Hashes for pyclothoids-0.1.5-cp37-cp37m-win32.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`02d5d3dfa81bd71e7e41cdbe1577533055fa459a15b812969aa0eca535ddab80`
MD5	`36c640670327d5f8840ab5a603f408b1`
BLAKE2b-256	`d42bbfed47ee0daace663f3b6c7ba77419a8dcede42a81a6975d1d563208c538`

Hashes for pyclothoids-0.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`b7da119656b6e851da08fce57831a4e78d1e9cb77a59ec5543629d732205c1fb`
MD5	`1cd08dbef1359e9bccab097a430e538d`
BLAKE2b-256	`f565bf085d4796db9d40437ee3f56a0b7e949511e25591085c9a1e853bde1df3`

Hashes for pyclothoids-0.1.5-cp37-cp37m-musllinux_1_1_i686.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`dc80097d31f31304746df0eb5476ca58dfc8f3a1d25c74ccce564f8af2f181a2`
MD5	`13047eb530b054ce1f2718e931e314a7`
BLAKE2b-256	`3257433cde78f2b6aeb4b7d1360ba635f88f4943d05a1be8e0050d717d86a0ab`

Hashes for pyclothoids-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`e2d8a3c6b6f201d57610c899dc9734767c9de50582f6cf04129679a5608c515e`
MD5	`2ef4c0260228e9f777ced5421f541c8d`
BLAKE2b-256	`d6459a3b036c604ab05be67249d27aa966aa692a41bed31406ea70fe22145970`

Hashes for pyclothoids-0.1.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`af7c57fd1bd7a30aa847161df5598180003d590a5772d05e31e6933d7a48b282`
MD5	`c87be0c9f8a0ed431c3346ccef5892b6`
BLAKE2b-256	`7c6dd0eaee134b44fb2d5ae42b3338eff88ac0e78c60c17db5691e9456af32fc`

Hashes for pyclothoids-0.1.5-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`8659fab8e0d472db21ab3737348a8b604fdd624fc6b17d5ed4313a04d9a1c311`
MD5	`edddb94802d660d265cf0eda9527b544`
BLAKE2b-256	`18f32175abf934342e10fe23c34bf26f60c92807ac6781fd088dd1337446e55e`

Hashes for pyclothoids-0.1.5-cp36-cp36m-win_amd64.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`ea0840557ffb53ba7810230f4721ffa82946d372201bcf28674555ea4e18abbe`
MD5	`6b94c8d3ff3e4e588ccba62d4ddfe662`
BLAKE2b-256	`4c167f48fd2b7b74db0885cb94cc27809bbacd21beb27a0ae918e2d001568005`

Hashes for pyclothoids-0.1.5-cp36-cp36m-win32.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`c1d9cfce5aa760b4673672c47f7bc7e7cfc7baab2bbe6715a9546058522f969f`
MD5	`b7b5252b23ce7a3be4cf1d6cbcff17d2`
BLAKE2b-256	`be9caace089c690861e255d0c24b770f47cd846207a3d8acb476abf3477b0f7f`

Hashes for pyclothoids-0.1.5-cp36-cp36m-musllinux_1_1_x86_64.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`eb72126a9bdf21a08adc5023597ae365d45d88bab92e303fb45e864349aabb01`
MD5	`43f2f6cba969b5ed091cf33a918eaede`
BLAKE2b-256	`2a3b3afceba0b738ce23b0ba1ddf9a93355c47929b7235b23bbc1f100cff2070`

Hashes for pyclothoids-0.1.5-cp36-cp36m-musllinux_1_1_i686.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`9deca2d1ba08f20ebdd734205b02bfd821213719a842821197fa59ddcfd26344`
MD5	`988bcb06c8fdf0cd67799c3e31ef5508`
BLAKE2b-256	`4f42a372805b0d740557e4ce2b8900137b2471375911ed7be91e4537117f4105`

Hashes for pyclothoids-0.1.5-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2a6baa55d6b125f63227f7de777264e941d6051bb861b5a5cb6dd1de86bafe75`
MD5	`39cc30738a6f145dcfe9a6a6c5b2e446`
BLAKE2b-256	`5f28dea71e9c4a7c5f10fde06aa7d6046cf94c103a5182a5928577e4903e098f`

Hashes for pyclothoids-0.1.5-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`3126bf77a9c127a5680810d832f3791f02265a97fb9f32c4dfc806731eb019c5`
MD5	`58e6412c1e2d4bf8ffb3388de6af9a09`
BLAKE2b-256	`65bfd5d280dc26fefd1fa0dc4f4bc601cc0f64c78549b0324049dd67ff5f1e46`

Hashes for pyclothoids-0.1.5-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for pyclothoids-0.1.5-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`f540654d0cda48bdb87c37771473292a3bf3f6936a552779b3567d1e2ff54fb6`
MD5	`5ad80fd2430d290cbf64d96ff712c1a5`
BLAKE2b-256	`db8234058ea8e3f9e9515a728ee46e808fffbbb4016d390dc1cab620117019d6`