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seidel

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 seidel

Developer

Download the latest version from GitHub repository

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

Install dependencies:

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

Install:

python setup.py install

Usage

>>> from seidel.point import Point
>>> square = [Point(0, 0), Point(2, 0), Point(2, 2), Point(0, 2)]
>>> from seidel.trapezoidal_map import build_graph
>>> graph = build_graph(square, shuffle=True)
>>> node = graph.search_point(Point(1, 1))
>>> from seidel.leaf import Leaf
>>> isinstance(node, Leaf)
True
>>> trapezoid = node.trapezoid
>>> [trapezoid.below.left, trapezoid.below.right,
...  trapezoid.above.right, trapezoid.above.left] == square
True

original C++ implementation can be invoked by importing from _seidel module instead.

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

About

Python port of randomized algorithm for trapezoidal decomposition by R. Seidel (based on matplotlib's "tri" module, with separate C++ binding)

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