Metadata-Version: 2.1
Name: gon
Version: 4.1.0
Summary: Processing of planar geometries.
Home-page: https://github.com/lycantropos/gon/
Download-URL: https://github.com/lycantropos/gon/archive/master.zip
Author: Azat Ibrakov
Author-email: azatibrakov@gmail.com
License: MIT License
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.2
Description-Content-Type: text/markdown
License-File: LICENSE

gon
===

[![](https://github.com/lycantropos/gon/actions/workflows/ci.yml/badge.svg?branch=master)](https://github.com/lycantropos/gon/actions/workflows/ci.yml "Github Actions")
[![](https://codecov.io/gh/lycantropos/gon/branch/master/graph/badge.svg)](https://codecov.io/gh/lycantropos/gon "Codecov")
[![](https://readthedocs.org/projects/gon/badge/?version=latest)](https://gon.readthedocs.io/en/latest "Documentation")
[![](https://img.shields.io/github/license/lycantropos/gon.svg)](https://github.com/lycantropos/gon/blob/master/LICENSE "License")
[![](https://badge.fury.io/py/gon.svg)](https://badge.fury.io/py/gon "PyPI")

Summary
-------

`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](https://docs.python.org/3/glossary.html#term-immutable), 
[hashable](https://docs.python.org/3/glossary.html#term-hashable)
and implement [set-like](https://docs.python.org/3/library/collections.abc.html#collections.abc.Set) 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 is `O(n)`.

---

In what follows `python` is an alias for `python3.6` or `pypy3.6`
or any later version (`python3.7`, `pypy3.7` and so on).

Installation
------------

Install the latest `pip` & `setuptools` packages versions
```bash
python -m pip install --upgrade pip setuptools
```

### User

Download and install the latest stable version from `PyPI` repository
```bash
python -m pip install --upgrade gon
```

### Developer

Download the latest version from `GitHub` repository
```bash
git clone https://github.com/lycantropos/gon.git
cd gon
```

Install dependencies
```bash
python -m pip install -r requirements.txt
```

Install
```bash
python setup.py install
```

Usage
-----

```python
>>> 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

```

Development
-----------

### Bumping version

#### Preparation

Install
[bump2version](https://github.com/c4urself/bump2version#installation).

#### Pre-release

Choose which version number category to bump following [semver
specification](http://semver.org/).

Test bumping version
```bash
bump2version --dry-run --verbose $CATEGORY
```

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

Bump version
```bash
bump2version --verbose $CATEGORY
```

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

#### Release

Test bumping version
```bash
bump2version --dry-run --verbose release
```

Bump version
```bash
bump2version --verbose release
```

This will set version to `major.minor.patch`.

### Running tests

Install dependencies
```bash
python -m pip install -r requirements-tests.txt
```

Plain
```bash
pytest
```

Inside `Docker` container:
- with `CPython`
  ```bash
  docker-compose --file docker-compose.cpython.yml up
  ```
- with `PyPy`
  ```bash
  docker-compose --file docker-compose.pypy.yml up
  ```

`Bash` script:
- with `CPython`
  ```bash
  ./run-tests.sh
  ```
  or
  ```bash
  ./run-tests.sh cpython
  ```

- with `PyPy`
  ```bash
  ./run-tests.sh pypy
  ```

`PowerShell` script:
- with `CPython`
  ```powershell
  .\run-tests.ps1
  ```
  or
  ```powershell
  .\run-tests.ps1 cpython
  ```
- with `PyPy`
  ```powershell
  .\run-tests.ps1 pypy
  ```


