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Data structures for spatial queries.

Project description

locus

In what follows

  • python is an alias for python3.5 or any later version (python3.6 and so on),
  • pypy is an alias for pypy3.5 or any later version (pypy3.6 and so on).

Installation

Install the latest pip & setuptools packages versions:

  • with CPython
    python -m pip install --upgrade pip setuptools
    
  • with PyPy
    pypy -m pip install --upgrade pip setuptools
    

User

Download and install the latest stable version from PyPI repository:

  • with CPython
    python -m pip install --upgrade locus
    
  • with PyPy
    pypy -m pip install --upgrade locus
    

Developer

Download the latest version from GitHub repository

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

Install dependencies:

  • with CPython
    python -m pip install --force-reinstall -r requirements.txt
    
  • with PyPy
    pypy -m pip install --force-reinstall -r requirements.txt
    

Install:

  • with CPython
    python setup.py install
    
  • with PyPy
    pypy setup.py install
    

Usage

>>> from locus import kd
>>> points = list(zip(range(-10, 11), range(0, 20)))
>>> kd_tree = kd.Tree(points)
>>> kd_tree.nearest_index((0, 0))
5
>>> kd_tree.nearest_point((0, 0))
(-5, 5)
>>> kd_tree.n_nearest_indices(2, (0, 0))
[6, 5]
>>> kd_tree.n_nearest_points(2, (0, 0))
[(-4, 6), (-5, 5)]
>>> kd_tree.find_ball_indices((0, 3), 5)
[6, 7]
>>> kd_tree.find_ball_points((0, 3), 5)
[(-4, 6), (-3, 7)]
>>> kd_tree.find_interval_indices(((-1, 1), (0, 10)))
[9, 10]
>>> kd_tree.find_interval_points(((-1, 1), (0, 10)))
[(-1, 9), (0, 10)]
>>> from locus import r
>>> intervals = list(zip(zip(range(-10, 11), range(0, 20)), 
...                      zip(range(-20, 0), range(-10, 11))))
>>> r_tree = r.Tree(intervals)
>>> r_tree.nearest_index((0, 0))
10
>>> r_tree.nearest_interval((0, 0))
((0, 10), (-10, 0))
>>> r_tree.n_nearest_indices(2, (0, 0))
[10, 11]
>>> r_tree.n_nearest_intervals(2, (0, 0))
[((0, 10), (-10, 0)), ((1, 11), (-9, 1))]
>>> r_tree.find_subsets_indices(((0, 10), (-10, 10)))
[10]
>>> r_tree.find_subsets(((0, 10), (-10, 10)))
[((0, 10), (-10, 0))]
>>> r_tree.find_supersets_indices(((0, 10), (-10, 0)))
[10]
>>> r_tree.find_supersets(((0, 10), (-10, 0)))
[((0, 10), (-10, 0))]

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:

  • with CPython
    python -m pip install --force-reinstall -r requirements-tests.txt
    
  • with PyPy
    pypy -m pip install --force-reinstall -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 (e.g. can be used in Git hooks):

  • with CPython

    ./run-tests.sh
    

    or

    ./run-tests.sh cpython
    
  • with PyPy

    ./run-tests.sh pypy
    

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

  • with CPython
    .\run-tests.ps1
    
    or
    .\run-tests.ps1 cpython
    
  • with PyPy
    .\run-tests.ps1 pypy
    

Project details


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