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* Add Python bindings * fix project layout
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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
wheels/ | ||
share/python-wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
MANIFEST | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.nox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
*.py,cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
cover/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
db.sqlite3 | ||
db.sqlite3-journal | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
.pybuilder/ | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# IPython | ||
profile_default/ | ||
ipython_config.py | ||
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# pyenv | ||
# For a library or package, you might want to ignore these files since the code is | ||
# intended to run in multiple environments; otherwise, check them in: | ||
# .python-version | ||
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# pipenv | ||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. | ||
# However, in case of collaboration, if having platform-specific dependencies or dependencies | ||
# having no cross-platform support, pipenv may install dependencies that don't work, or not | ||
# install all needed dependencies. | ||
#Pipfile.lock | ||
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# poetry | ||
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. | ||
# This is especially recommended for binary packages to ensure reproducibility, and is more | ||
# commonly ignored for libraries. | ||
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control | ||
#poetry.lock | ||
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# pdm | ||
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. | ||
#pdm.lock | ||
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it | ||
# in version control. | ||
# https://pdm.fming.dev/#use-with-ide | ||
.pdm.toml | ||
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm | ||
__pypackages__/ | ||
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# Celery stuff | ||
celerybeat-schedule | ||
celerybeat.pid | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# Environments | ||
.env | ||
.venv | ||
env/ | ||
venv/ | ||
ENV/ | ||
env.bak/ | ||
venv.bak/ | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
.dmypy.json | ||
dmypy.json | ||
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# Pyre type checker | ||
.pyre/ | ||
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# pytype static type analyzer | ||
.pytype/ | ||
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# Cython debug symbols | ||
cython_debug/ | ||
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# PyCharm | ||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can | ||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore | ||
# and can be added to the global gitignore or merged into this file. For a more nuclear | ||
# option (not recommended) you can uncomment the following to ignore the entire idea folder. | ||
#.idea/ |
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# Changelog | ||
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## [0.1.0] - YYYY-MM-DD | ||
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- Initial public release. |
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[package] | ||
name = "geo-index" | ||
version = "0.1.0" | ||
authors = ["Kyle Barron <[email protected]>"] | ||
edition = "2021" | ||
description = "Fast, memory-efficient 2D spatial indexes for Python." | ||
readme = "README.md" | ||
repository = "https://github.com/kylebarron/geo-index" | ||
license = "MIT OR Apache-2.0" | ||
keywords = ["python", "geospatial"] | ||
categories = ["science::geo"] | ||
rust-version = "1.75" | ||
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# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html | ||
[lib] | ||
name = "_rust" | ||
crate-type = ["cdylib"] | ||
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[dependencies] | ||
bytes = "1" | ||
geo-index = { path = "../", features = ["rayon"] } | ||
numpy = "0.20" | ||
pyo3 = { version = "0.20", features = ["abi3-py38"] } | ||
thiserror = "1" |
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# geo-index | ||
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Fast, memory-efficient 2D spatial indexes for Python. |
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[build-system] | ||
requires = ["maturin>=1.4.0,<2.0"] | ||
build-backend = "maturin" | ||
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[project] | ||
name = "geo-index" | ||
requires-python = ">=3.8" | ||
dependencies = [] | ||
classifiers = [ | ||
"Programming Language :: Rust", | ||
"Programming Language :: Python :: Implementation :: CPython", | ||
"Programming Language :: Python :: Implementation :: PyPy", | ||
] | ||
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[tool.maturin] | ||
features = ["pyo3/extension-module"] | ||
module-name = "geo_index._rust" | ||
python-source = "python" |
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from ._rust import * | ||
from ._rust import ___version | ||
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__version__: str = ___version() |
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from typing import Literal, Optional, Self, Union | ||
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import numpy as np | ||
from numpy.typing import NDArray | ||
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from .enums import RTreeMethod | ||
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IntFloat = Union[int, float] | ||
RTreeMethodT = Literal["hilbert", "str"] | ||
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class KDTree: | ||
@classmethod | ||
def from_interleaved( | ||
cls, | ||
coords: NDArray[np.float64], | ||
*, | ||
node_size: Optional[int] = None, | ||
) -> Self: ... | ||
@classmethod | ||
def from_separated( | ||
cls, | ||
x: NDArray[np.float64], | ||
y: NDArray[np.float64], | ||
*, | ||
node_size: Optional[int] = None, | ||
) -> Self: ... | ||
def range( | ||
self, min_x: IntFloat, min_y: IntFloat, max_x: IntFloat, max_y: IntFloat | ||
) -> NDArray[np.uintc]: ... | ||
def within(self, qx: IntFloat, qy: IntFloat, r: IntFloat) -> NDArray[np.uintc]: ... | ||
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class RTree: | ||
@classmethod | ||
def from_interleaved( | ||
cls, | ||
boxes: NDArray[np.float64], | ||
*, | ||
method: RTreeMethod | RTreeMethodT = RTreeMethod.Hilbert, | ||
node_size: Optional[int] = None, | ||
) -> Self: ... | ||
@classmethod | ||
def from_separated( | ||
cls, | ||
min_x: NDArray[np.float64], | ||
min_y: NDArray[np.float64], | ||
max_x: NDArray[np.float64], | ||
max_y: NDArray[np.float64], | ||
*, | ||
method: RTreeMethod | RTreeMethodT = RTreeMethod.Hilbert, | ||
node_size: Optional[int] = None, | ||
) -> Self: ... | ||
def search( | ||
self, min_x: IntFloat, min_y: IntFloat, max_x: IntFloat, max_y: IntFloat | ||
) -> NDArray[np.uintc]: ... |
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from enum import Enum, auto | ||
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class StrEnum(str, Enum): | ||
def __new__(cls, value, *args, **kwargs): | ||
if not isinstance(value, (str, auto)): | ||
raise TypeError( | ||
f"Values of StrEnums must be strings: {value!r} is a {type(value)}" | ||
) | ||
return super().__new__(cls, value, *args, **kwargs) | ||
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def __str__(self): | ||
return str(self.value) | ||
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def _generate_next_value_(name, *_): | ||
return name.lower() | ||
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class RTreeMethod(StrEnum): | ||
Hilbert = auto() | ||
"""Use hilbert curves for sorting the RTree | ||
""" | ||
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STR = auto() | ||
"""Use the Sort-Tile-Recursive algorithm for sorting the RTree | ||
""" |
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