Python port of polygon clipping algorithm by F. Martinez et al.

Project description

martinez

In what follows

python is an alias for python3.5 or any later version (python3.6 and so on).

Installation

Install the latest pip & setuptools packages versions:

python -m pip install --upgrade pip setuptools

User

Download and install the latest stable version from PyPI repository:

python -m pip install --upgrade martinez

Developer

Download the latest version from GitHub repository

git clone https://github.com/lycantropos/martinez.git
cd martinez

Install dependencies:

python -m pip install --force-reinstall -r requirements.txt

Install:

python setup.py install

Development

Bumping version

Preparation

Install bump2version.

Pre-release

Choose which version number category to bump following semver specification.

Test bumping version

bump2version --dry-run --verbose $CATEGORY

where $CATEGORY is the target version number category name, possible values are patch/minor/major.

Bump version

bump2version --verbose $CATEGORY

This will set version to major.minor.patch-alpha.

Release

Test bumping version

bump2version --dry-run --verbose release

Bump version

bump2version --verbose release

This will set version to major.minor.patch.

Running tests

Install dependencies:

python -m pip install --force-reinstall -r requirements-tests.txt

Plain

pytest

Inside Docker container:

docker-compose up

Bash script (e.g. can be used in Git hooks):

./run-tests.sh

PowerShell script (e.g. can be used in Git hooks):

.\run-tests.ps1

Project details

Release history Release notifications | RSS feed

0.6.0

Nov 28, 2020

0.5.3

Nov 5, 2020

0.5.2

Nov 5, 2020

0.5.1

Nov 5, 2020

0.5.0

Sep 24, 2020

0.4.1

May 8, 2020

0.4.0

Dec 29, 2019

0.3.1

Dec 28, 2019

0.3.0

Dec 28, 2019

0.2.0

Dec 27, 2019

0.1.1

Dec 14, 2019

0.1.0

Dec 8, 2019

0.0.4

Dec 7, 2019

0.0.3

Dec 5, 2019

0.0.2

Dec 2, 2019

This version

0.0.1

Dec 2, 2019

0.0.0

Nov 29, 2019

Download files

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

Files for martinez, version 0.0.1
Filename, size	File type	Python version	Upload date	Hashes
Filename, size martinez-0.0.1-cp35-cp35m-macosx_10_6_intel.whl (150.3 kB)	File type Wheel	Python version cp35	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp35-cp35m-manylinux2010_i686.whl (718.2 kB)	File type Wheel	Python version cp35	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp35-cp35m-manylinux2010_x86_64.whl (947.6 kB)	File type Wheel	Python version cp35	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp35-cp35m-win32.whl (58.6 kB)	File type Wheel	Python version cp35	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp35-cp35m-win_amd64.whl (67.7 kB)	File type Wheel	Python version cp35	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp36-cp36m-macosx_10_6_intel.whl (150.3 kB)	File type Wheel	Python version cp36	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp36-cp36m-manylinux2010_i686.whl (718.5 kB)	File type Wheel	Python version cp36	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp36-cp36m-manylinux2010_x86_64.whl (947.9 kB)	File type Wheel	Python version cp36	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp36-cp36m-win32.whl (59.2 kB)	File type Wheel	Python version cp36	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp36-cp36m-win_amd64.whl (65.8 kB)	File type Wheel	Python version cp36	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp37-cp37m-macosx_10_6_intel.whl (150.3 kB)	File type Wheel	Python version cp37	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp37-cp37m-manylinux2010_i686.whl (719.3 kB)	File type Wheel	Python version cp37	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp37-cp37m-manylinux2010_x86_64.whl (948.9 kB)	File type Wheel	Python version cp37	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp37-cp37m-win32.whl (59.2 kB)	File type Wheel	Python version cp37	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp37-cp37m-win_amd64.whl (65.7 kB)	File type Wheel	Python version cp37	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl (80.0 kB)	File type Wheel	Python version cp38	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp38-cp38-manylinux2010_i686.whl (719.6 kB)	File type Wheel	Python version cp38	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp38-cp38-manylinux2010_x86_64.whl (936.4 kB)	File type Wheel	Python version cp38	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp38-cp38-win32.whl (58.3 kB)	File type Wheel	Python version cp38	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1-cp38-cp38-win_amd64.whl (64.8 kB)	File type Wheel	Python version cp38	Upload date Dec 2, 2019	Hashes View
Filename, size martinez-0.0.1.tar.gz (4.8 kB)	File type Source	Python version None	Upload date Dec 2, 2019	Hashes View

Hashes for martinez-0.0.1-cp35-cp35m-macosx_10_6_intel.whl

Hashes for martinez-0.0.1-cp35-cp35m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`876743a68b731984dbe6e7dec3bb8685e7f9a64434ac6d65e4db6460b63971d2`
MD5	`0f16d600b7d4e03d522f540c75c81fc5`
BLAKE2-256	`761ed3398f607674536236c5c16eb926bfe32b0f0d79713f0a3025a3ba0b501b`

Hashes for martinez-0.0.1-cp35-cp35m-manylinux2010_i686.whl

Hashes for martinez-0.0.1-cp35-cp35m-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`17c3d947374ced016f6f1a552d36820f8d444df449bf50c517ee896268afbbcd`
MD5	`d9738c790fc88d63947cbf17c82085c2`
BLAKE2-256	`9231a2eedba52f34863e254e72db0f3450e1fc997bb837ee7f168c3f11db739e`

Hashes for martinez-0.0.1-cp35-cp35m-manylinux2010_x86_64.whl

Hashes for martinez-0.0.1-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`a8fa888051f599c98fa7986e11f3e9e0eb8d72beac6b422fad5edcac73887f3a`
MD5	`782a19f99812ae8e61a35d55f700492c`
BLAKE2-256	`f360d1cfc181064dd2ef67c1f3b8eece422bb8f6893d9a6e751a87c9e30be60b`

Hashes for martinez-0.0.1-cp35-cp35m-win32.whl

Hashes for martinez-0.0.1-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`9bf1ac196b9b98443f0ff7763711e076649be71a2e74427d1ecd50a044efbca8`
MD5	`f59ae9442e1ed108adccb9b538ac8f9b`
BLAKE2-256	`2cdb1464470c238219454a1704c110ac0d4f4cedfcc9a32fec99362232dad63c`

Hashes for martinez-0.0.1-cp35-cp35m-win_amd64.whl

Hashes for martinez-0.0.1-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`662c233396a87372084ae84349ae5a31ce1028747657279a0f520c7a32d1fed4`
MD5	`d5133017cc74c4e92678058d276fe48d`
BLAKE2-256	`ce5442f5f226983c85ce72cf667e0a57f78a735f2ba10371ddfcd1f9067f67ab`

Hashes for martinez-0.0.1-cp36-cp36m-macosx_10_6_intel.whl

Hashes for martinez-0.0.1-cp36-cp36m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`37441cb3049228985b6d6b7ec9a8cf979c5aba319fa1dbe95d17a6dd043d03df`
MD5	`0ac63d13f696856a01ca16890a815819`
BLAKE2-256	`04d1a9009769241aa8c538f5f2b80aca3f6cf086dbdbad43c633bc46444fb74c`

Hashes for martinez-0.0.1-cp36-cp36m-manylinux2010_i686.whl

Hashes for martinez-0.0.1-cp36-cp36m-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`47738a9f116bf9b834fc2650cf06d6bc0a8e16b6ac79f02efcdbf6af9203e48c`
MD5	`d9474b313bc72f89aaacc5ba23ea1568`
BLAKE2-256	`414da716c5558e67b7e20ad5e538edac439b3406b4b5b132947957634c33ca0b`

Hashes for martinez-0.0.1-cp36-cp36m-manylinux2010_x86_64.whl

Hashes for martinez-0.0.1-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`13a0c6c12c3bf0e515b0d8be51e6a6badd713c0533d49d08881dd1980cc2558e`
MD5	`3e0b7f094fda85a0e1b613ecdf82bf90`
BLAKE2-256	`aeb8ea502e75758a5e60fb90ff620b50d116516584ca4c2b41aac6dd7fc9c420`

Hashes for martinez-0.0.1-cp36-cp36m-win32.whl

Hashes for martinez-0.0.1-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`20d65efe8e9473f8791e3834f76a25f240de2e9f2be1523a01927b4a2763adca`
MD5	`d93ae7a239e62441963ac2009a10d5b9`
BLAKE2-256	`8cc61e69120a7265cce84d77476150a989595a8676669fd3e78ba19a723b304a`

Hashes for martinez-0.0.1-cp36-cp36m-win_amd64.whl

Hashes for martinez-0.0.1-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`df2c8ec889457827b6b5e73d5649ae9f6834865e205615b4bb704c5084b77663`
MD5	`63a9bc39357fa7f0d22d810bed1fb481`
BLAKE2-256	`9244b34846d43dd0e3109270beda42bb2477c2dbec0eba584bc436ec8a2b1566`

Hashes for martinez-0.0.1-cp37-cp37m-macosx_10_6_intel.whl

Hashes for martinez-0.0.1-cp37-cp37m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`b234ae7120a745826040b258f4bb7d5428dd404143a44152e389c7f926465b32`
MD5	`96f171d6a5b769d63bcedbfc7a92dedf`
BLAKE2-256	`cf555d3e943048b4b48f6d995f1c80f9183d632ffb459f21de1727919d9b9cbf`

Hashes for martinez-0.0.1-cp37-cp37m-manylinux2010_i686.whl

Hashes for martinez-0.0.1-cp37-cp37m-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`1c13ad21b6bdf8ad2b0442b5603cf148bf4a83bc9883a57672a90f373167e362`
MD5	`b5c509422664ecb0f96ec531a653d143`
BLAKE2-256	`3b710b1581a021559e882d8af8f5749768505d246ca355e27f54497b9c6d75cb`

Hashes for martinez-0.0.1-cp37-cp37m-manylinux2010_x86_64.whl

Hashes for martinez-0.0.1-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`365186014333c4aeefef6cd51c912d9d14e84a3ffa90a29bc7016bafad198b02`
MD5	`d55294bbfb740f18063b2ba655fa2c67`
BLAKE2-256	`e81393a75f5ef315e27ff89100b657f529e7d4f070dbbde9193706038b667a8e`

Hashes for martinez-0.0.1-cp37-cp37m-win32.whl

Hashes for martinez-0.0.1-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`b9fdc4ada2f86a44a1dc73ad76735f95cce3156fa6732546e38915cdac749b45`
MD5	`36ae753fdf298fd0b91a1ebedaca360b`
BLAKE2-256	`d22afccf116921f45e217366442b07343fd0161a41b26ea5bfbe781d95b2d87f`

Hashes for martinez-0.0.1-cp37-cp37m-win_amd64.whl

Hashes for martinez-0.0.1-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`ecec739549480aba7f138fd6afac2bd43b832b3f3bbfd76df1dc00bb7c3558c2`
MD5	`56a187f0d825cfcb1fa48f44884975d3`
BLAKE2-256	`56c931aa85964c10d2b4a1b567f918b6746aac1044a5b2ada52689057fb7746b`

Hashes for martinez-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for martinez-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3ad672b3e6b12f24ab6bc9c74a346aa4bb6e1ee71efd3a605ba81531f3180d9c`
MD5	`e88bc1b003654457c1366343a79137ee`
BLAKE2-256	`2c95a1915372b3114e87a5017af8c7587c6429ace6659536f65c5d0b75285aef`

Hashes for martinez-0.0.1-cp38-cp38-manylinux2010_i686.whl

Hashes for martinez-0.0.1-cp38-cp38-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`d770ea3578e42ff62b4ae2dc1dddbf22e229673e87cc066abd74bc0694081351`
MD5	`a9ffbd4522a18db40b5ecf2bc1a85dfe`
BLAKE2-256	`d9f119b6ac2daf79e35975555e286db4b7f79d397d1bd7620d866c109a31c3e2`

Hashes for martinez-0.0.1-cp38-cp38-manylinux2010_x86_64.whl

Hashes for martinez-0.0.1-cp38-cp38-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`12fc85dfe3eba772234f6f616e63f30e193fbaa3cc61235988ed73150bd39cc7`
MD5	`2fa7d698c3bd6116df3f366ba7deac6e`
BLAKE2-256	`1574779abdd25e66f6efd75f0966ba23608da795237b213517e405a92480f793`

Hashes for martinez-0.0.1-cp38-cp38-win32.whl

Hashes for martinez-0.0.1-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`0da53ab96e9f6ced37ef1ab1578ac016be404c02c7dfc0667eeb9626d0499cd1`
MD5	`2b6242156e28ad57faf05a1995dd462b`
BLAKE2-256	`db4148258e14fcebed8704d8fea4c6cd92a63eac53986e9d79d9bb0354ec2e2f`

Hashes for martinez-0.0.1-cp38-cp38-win_amd64.whl

Hashes for martinez-0.0.1-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`47f3aa25a41eeef89c22b6094882e06b89c4c1b2e100dd98e7c46225dc2f690a`
MD5	`54a68b99592c7ee525132e54916f0232`
BLAKE2-256	`05cc023508432102e14313d0a02deccea48d566961e8464258196769f0541bb5`

Hashes for martinez-0.0.1.tar.gz

Hashes for martinez-0.0.1.tar.gz
Algorithm	Hash digest
SHA256	`d20b1ab1c8cb6e6245adad62b99f1a437a5e7cd3687c7b98ad8eaa1bdc1e8eb5`
MD5	`e912fee4d0666469dc1cf013d4d09c28`
BLAKE2-256	`a856617a0015ac2fbdaba73f136b0fd870c7199e179905a50e3ec76d1ec9ef6a`