fast crossing
(See jupyter notebook here)
Fast polyline (line segments) intersection (fast version of bentley-ottmann).
Installation
via pip
pip install -U fast-crossing
from source
git clone --recursive https://github.com/cubao/fast-crossing
pip install ./fast-crossing
Or
pip install git+https://github.com/cubao/fast-crossing.git
(you can build wheels for later reuse by pip wheel git+https://github.com/cubao/fast-crossing.git)
in the browser (pyodide / wasm)
A pyodide wheel is built by the Wheel on pyodide job in
.github/workflows/wheels.yml and published to PyPI
together with the other wheels. Inside pyodide:
const pyodide = await loadPyodide();
await pyodide.loadPackage(["numpy", "micropip"]);
const micropip = pyodide.pyimport("micropip");
await micropip.install("fast-crossing"); // or a local wheel: "./fast_crossing-...wasm32.whl"
const fc = pyodide.pyimport("fast_crossing");
const { FastCrossing } = fc;
To build and test locally:
make pyodide_install # pip install pyodide-build
make pyodide_wheel # -> dist/*wasm32.whl
make pyodide_web # builds, writes tests/pyodide/wheels.json, serves :8123
# open http://localhost:8123/tests/pyodide/index.html
Each wheel is ABI-tagged for one pyodide runtime (pyemscripten_2024_0_wasm32 …)
and the page's pyodide version has to match that tag. CI builds one wheel per
supported pyodide version (CPython 3.13/3.14/3.15 at the moment); locally
pyodide build picks the xbuildenv whose CPython matches your host
interpreter, so a Python 3.12 host gets pyodide 0.27.x (ABI 2024_0). Use
pyodide xbuildenv install <version> --force to target another version —
gen_wheels_json.py then writes that version into wheels.json, and
?pyodide_version= overrides it in the browser.
tests/pyodide/index.html loads pyodide (by default from
the jsdelivr CDN), installs the wheel from dist/ and runs
tests/test_basic.py in the browser. If the CDN is slow,
mirror the runtime once and the page will pick it up automatically:
python tests/pyodide/fetch_pyodide_dist.py --version 0.27.8
Related
Inspired by anvaka/isect: Segments intersection detection library.
Usage & Tests
See tests/test_basic.py:
import numpy as np
import pytest
from fast_crossing import FastCrossing
def test_fast_crossing():
fc = FastCrossing()
# add your polylines
"""
2 C
|
1 D
0 | 5
A---------------o------------------B
|
|
-2 E
"""
fc.add_polyline(np.array([[0.0, 0.0], [5.0, 0.0]])) # AB
fc.add_polyline(np.array([[2.5, 2.0], [2.5, 1.0], [2.5, -2.0]])) # CDE
# build index
fc.finish()
# num_polylines
assert 2 == fc.num_polylines()
rulers = fc.polyline_rulers()
assert len(rulers) == 2
ruler0 = fc.polyline_ruler(0)
ruler1 = fc.polyline_ruler(1)
assert not ruler0.is_wgs84()
assert not ruler1.is_wgs84()
assert ruler0.length() == 5
assert ruler1.length() == 4
assert fc.polyline_ruler(10) is None
# intersections
ret = fc.intersections([1.5, 0], [3.5, 2])
assert len(ret) == 2
assert np.linalg.norm(fc.coordinates(ret[0]) - [1.5, 0, 0]) < 1e-15
assert np.linalg.norm(fc.coordinates(ret[1]) - [2.5, 1, 0]) < 1e-15
xyz = fc.coordinates(0, 0, 0.2)
assert np.linalg.norm(xyz - [1.0, 0, 0]) < 1e-15
with pytest.raises(IndexError) as excinfo:
xyz = fc.coordinates(2, 0, 0.5)
assert "map::at" in str(excinfo)
# query all line segment intersections
# [
# (array([2.5, 0. ]),
# array([0.5 , 0.33333333]),
# array([0, 0], dtype=int32),
# array([1, 1], dtype=int32))
# ]
ret = fc.intersections()
# print(ret)
assert len(ret) == 1
for xy, ts, label1, label2 in ret:
# xy: intersection point, 2D ('o' in previous illustration)
# t,s: interpolation ratio (0.5, 0.33)
# 0.5 -> o at AB t=1/2
# 0.33 -> o at DE s=1/3
# label1: line segment index, (polyline_index, point_index)
# e.g. (0, 0),first segment of polyline AB (AB is the first polyline)
# label2: line segment index
# e.g. (1, 1),second segment of polyline CDE
# print(xy)
# print(ts)
# print(label1)
# print(label2)
assert np.all(xy == [2.5, 0])
assert np.all(ts == [0.5, 1 / 3.0])
assert np.all(label1 == [0, 0])
assert np.all(label2 == [1, 1])
# query intersections against provided polyline
polyline = np.array([[-6.0, -1.0], [-5.0, 1.0], [5.0, -1.0]])
ret = fc.intersections(polyline)
ret = np.array(ret) # convert to numpy
xy = ret[:, 0] # take all intersection points (2D)
ts = ret[:, 1] # all interpolation ratios
label1 = ret[:, 2] # all labels (of current polyline)
label2 = ret[:, 3] # all labels in tree
# print(ret, xy, ts, label1, label2)
assert np.all(xy[0] == [0, 0])
assert np.all(xy[1] == [2.5, -0.5])
assert np.all(ts[0] == [0.5, 0])
assert np.all(ts[1] == [0.75, 0.5])
assert np.all(label1 == [[0, 1], [0, 1]])
assert np.all(label2 == [[0, 0], [1, 1]])
polyline2 = np.column_stack((polyline, np.zeros(len(polyline))))
ret2 = np.array(fc.intersections(polyline2[:, :2]))
assert str(ret) == str(ret2)
def test_fast_crossing_intersection3d():
fc = FastCrossing()
"""
2 C
|
1 D
0 | 5
A---------------o------------------B
|
|
-2 E
"""
fc.add_polyline(np.array([[0.0, 0.0, 0.0], [5.0, 0.0, 100]])) # AB
fc.add_polyline(np.array([[2.5, 2.0, 0.0], [2.5, 1.0, 100], [2.5, -2.0, 0]])) # CDE
fc.finish()
ret = fc.intersections()
assert len(ret) == 1
ret = ret[0]
xyz1 = fc.coordinates(ret, second=False)
xyz2 = fc.coordinates(ret)
assert np.linalg.norm(xyz1 - [2.5, 0, 50]) < 1e-10
assert np.linalg.norm(xyz2 - [2.5, 0, 2 / 3 * 100.0]) < 1e-10
def test_fast_crossing_auto_rebuild_flatbush():
fc = FastCrossing()
fc.add_polyline(np.array([[0.0, 0.0, 0.0], [5.0, 0.0, 100]])) # AB
fc.add_polyline(np.array([[2.5, 2.0, 0.0], [2.5, 1.0, 100], [2.5, -2.0, 0]])) # CDE
ret = fc.intersections()
assert len(ret) == 1
fc.add_polyline([[1.5, 0], [3.5, 2]])
ret = fc.intersections()
assert len(ret) == 4 # should dedup to 3?
def test_fast_crossing_filter_by_z():
fc = FastCrossing()
fc.add_polyline([[0, 0, 0], [1, 0, 0]])
fc.add_polyline([[0, 0, 10], [1, 0, 10]])
fc.add_polyline([[0, 0, 20], [1, 0, 20]])
ret = fc.intersections([[0.5, -1], [0.5, 1]])
assert len(ret) == 3
ret = fc.intersections([[0.5, -1], [0.5, 1]], z_min=-1, z_max=1)
assert len(ret) == 1
assert fc.coordinates(ret[0])[2] == 0
ret = fc.intersections([[0.5, -1, 10], [0.5, 1, 10]], z_min=-1, z_max=1)
assert len(ret) == 1
assert fc.coordinates(ret[0])[2] == 10
ret = fc.intersections([[0.5, -1, 20], [0.5, 1, 20]], z_min=-1, z_max=1)
assert len(ret) == 1
assert fc.coordinates(ret[0])[2] == 20
ret = fc.intersections([[0.5, -1, 15], [0.5, 1, 15]], z_min=-6, z_max=6)
assert len(ret) == 2
assert fc.coordinates(ret[0])[2] == 10
assert fc.coordinates(ret[1])[2] == 20
def test_fast_crossing_dedup():
# should be stable
for _ in range(100):
fc = FastCrossing()
fc.add_polyline([[0, 0, 0], [1, 0, 0], [2, 0, 0]])
fc.add_polyline([[0, 1, 0], [1, 1, 0], [2, 1, 0]])
ret = fc.intersections([[1, -1], [1, 1]])
assert len(ret) == 2
assert np.all(ret[0][-1] == [0, 0]), ret
assert np.all(ret[1][-1] == [1, 0]), ret
assert ret[0][1][1] == 1.0, ret
assert ret[1][1][1] == 1.0, ret
ret = fc.intersections([[1, -1], [1, 1]], dedup=False)
# for idx, row in enumerate(ret):
# print(idx, row)
assert len(ret) == 4
Metadata
Release files for fast-crossing 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
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Built distributions (wheels)
Total release size: 16.3 MB
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| Download URL | fast_crossing-0.1.6-cp37-cp37m-win_amd64.whl |
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| Size | 304.2 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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Transparency logRelease files / fast_crossing-0.1.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Size | 460.6 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / fast_crossing-0.1.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | fast_crossing-0.1.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 441.4 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 |
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Transparency logSecurity for fast-crossing 0.1.6
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