gon
is a pure Python library that provides support
for planar geometry objects built from discrete points,
finite number of straight line segments (e.g. polylines)
and areas bound by closed polylines (e.g. polygons).
Main features are
- convenience: all geometric objects are immutable, hashable and implement set-like interface, i.e. support containment, equality, "is-subset" tests and boolean set operations (e.g. finding intersection).
- correctness: all calculations are robust for floating point numbers
& precise for integral numbers (like
int
), each operation corresponds to its mathematical definition and property-based tested. - efficiency: all operations are efficient
in terms of both time & memory complexity,
upper bound for expected time complexity is
O(n * log n)
, for memory complexity isO(n)
.
In what follows python
is an alias for python3.7
or pypy3.7
or any later version (python3.7
, pypy3.8
and so on).
Install the latest pip
& setuptools
packages versions
python -m pip install --upgrade pip setuptools
Download and install the latest stable version from PyPI
repository
python -m pip install --upgrade gon
Download the latest version from GitHub
repository
git clone https://github.com/lycantropos/gon.git
cd gon
Install dependencies
python -m pip install -r requirements.txt
Install
python setup.py install
>>> from gon.base import EMPTY, Angle, Contour, Point, Polygon
>>> square = Polygon(Contour([Point(0, 0), Point(4, 0), Point(4, 4),
... Point(0, 4)]))
>>> square == square
True
>>> square >= square
True
>>> square <= square
True
>>> square < square
False
>>> square > square
False
>>> square & square == square
True
>>> square | square == square
True
>>> square - square is EMPTY
True
>>> square ^ square is EMPTY
True
>>> Point(0, 0) in square
True
>>> square.index()
>>> Point(0, 0) in square
True
>>> len(square.border.vertices) == 4
True
>>> len(square.holes) == 0
True
>>> square.is_convex
True
>>> square.convex_hull == square
True
>>> square.area == 16
True
>>> square.perimeter == 16
True
>>> square.centroid == Point(2, 2)
True
>>> square.distance_to(Point(2, 2)) == 0
True
>>> square.distance_to(Point(7, 8)) == 5
True
>>> (square.rotate(Angle(0, 1), Point(4, 4))
... == Polygon(Contour([Point(8, 0), Point(8, 4), Point(4, 4), Point(4, 0)])))
True
>>> (square.scale(1, 2)
... == Polygon(Contour([Point(0, 0), Point(4, 0), Point(4, 8), Point(0, 8)])))
True
>>> (square.translate(1, 2)
... == Polygon(Contour([Point(1, 2), Point(5, 2), Point(5, 6), Point(1, 6)])))
True
>>> (square.triangulate().triangles()
... == [Contour([Point(0, 4), Point(4, 0), Point(4, 4)]),
... Contour([Point(0, 0), Point(4, 0), Point(0, 4)])])
True
Install bump2version.
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
.
Test bumping version
bump2version --dry-run --verbose release
Bump version
bump2version --verbose release
This will set version to major.minor.patch
.
Install dependencies
python -m pip install -r requirements-tests.txt
Plain
pytest
Inside Docker
container:
- with
CPython
docker-compose --file docker-compose.cpython.yml up
- with
PyPy
docker-compose --file docker-compose.pypy.yml up
Bash
script:
-
with
CPython
./run-tests.sh
or
./run-tests.sh cpython
-
with
PyPy
./run-tests.sh pypy
PowerShell
script:
- with
CPython
or.\run-tests.ps1
.\run-tests.ps1 cpython
- with
PyPy
.\run-tests.ps1 pypy