def test_line_collection_extend(lines):
lc = LineCollection([(3, 3j)])
lc.extend(lines)
assert len(lc) == 3
assert np.all(lc[0] == np.array([3, 3j]))
assert np.all(lc[1] == np.array([0, 1 + 1j]))
assert np.all(lc[2] == np.array([2 + 2j, 3 + 3j, 4 + 4j]))
def test_find_nearest_within_reverse():
lines = [[10, 0], [20, 10.1]]
idx = LineIndex(LineCollection(lines))
ridx = LineIndex(LineCollection(lines), reverse=True)
assert idx.find_nearest_within(0.1, 0.5)[0] is None
assert ridx.find_nearest_within(0.1, 0.5) == (0, True)
assert ridx.find_nearest_within(10.01, 0.5) == (0, False)
assert ridx.find_nearest_within(10.09, 0.5) == (1, True)
def test_vector_data_lid_iteration():
lc = LineCollection([(0, 1 + 1j)])
vd = VectorData()
vd.add(lc, 1)
for lc in vd.layers_from_ids([1, 2, 3, 4]):
lc.append([3, 3 + 3j])
assert vd.count() == 1
assert len(vd.layers[1]) == 2
def test_pop_front():
lines = [random_line(5), random_line(3), random_line(7)]
lc = LineCollection(lines)
idx = LineIndex(lc)
assert np.all(idx.pop_front() == lines[0])
assert np.all(idx.pop_front() == lines[1])
assert np.all(idx.pop_front() == lines[2])
assert len(idx) == 0
def test_find_nearest_within():
lines = [[1 + 1j, 10], [1.2 + 1j, 10], [1.3 + 1j, 10]]
idx = LineIndex(LineCollection(lines))
assert idx.find_nearest_within(1.05 + 1j, 0.01)[0] is None
assert idx.find_nearest_within(1.05 + 1j, 0.051) == (0, False)
assert idx.find_nearest_within(1.05 + 1j, 0.16) == (0, False)
idx.pop(0)
assert idx.find_nearest_within(1.05 + 1j, 0.16) == (1, False)
assert idx.find_nearest_within(1.05 + 1j, 0.051)[0] is None
def test_pop():
lines = [random_line(5), random_line(3), random_line(7)]
lc = LineCollection(lines)
idx = LineIndex(lc)
assert np.all(idx.pop(2) == lines[2])
assert idx.pop(2) is None
assert np.all(idx.pop(0) == lines[0])
assert idx.pop(0) is None
assert np.all(idx.pop(1) == lines[1])
assert len(idx) == 0
def test_vector_data_bounds():
vd = VectorData()
vd.add(LineCollection([(-10, 10), (0, 0)]), 1)
vd.add(LineCollection([(0, 0), (-10j, 10j)]), 2)
assert vd.bounds() == (-10, -10, 10, 10)
def test_line_collection_pen_up_length():
lc = LineCollection([(0, 10), (10 + 10j, 500 + 500j, 10j), (0, -40)])
assert lc.pen_up_length()[0] == 20.0
def test_line_collection_empty_bounds():
lc = LineCollection()
assert lc.bounds() is None
def test_line_collection_bounds():
lc = LineCollection([(-10, 10), (-10j, 10j)])
assert lc.bounds() == (-10, -10, 10, 10)
def test_line_collection_append(line):
lc = LineCollection()
lc.append(line)
assert len(lc) == 1
assert np.all(lc[0] == np.array([4 + 3j, 5, 10 + 10j, 5j]))
def test_line_collection_creation(lines):
lc = LineCollection(lines)
assert len(lc) == 2
assert np.all(lc[0] == np.array([0, 1 + 1j]))
assert np.all(lc[1] == np.array([2 + 2j, 3 + 3j, 4 + 4j]))
import pytest
import numpy as np
from shapely.geometry import MultiLineString, LineString
from vpype.model import LineCollection, VectorData
LINE_COLLECTION_INIT = [
LineCollection([[0, 1 + 1j], [2 + 2j, 3 + 3j, 4 + 4j]]),
[[0, 1 + 1j], [2 + 2j, 3 + 3j, 4 + 4j]],
([0, 1 + 1j], [2 + 2j, 3 + 3j, 4 + 4j]),
((0, 1 + 1j), (2 + 2j, 3 + 3j, 4 + 4j)),
np.array([[0, 1 + 1j], [2 + 2j, 3 + 3j, 4 + 4j]]),
MultiLineString([[(0, 0), (1, 1)], [(2, 2), (3, 3), (4, 4)]]),
]
@pytest.mark.parametrize("lines", LINE_COLLECTION_INIT)
def test_line_collection_creation(lines):
lc = LineCollection(lines)
assert len(lc) == 2
assert np.all(lc[0] == np.array([0, 1 + 1j]))
assert np.all(lc[1] == np.array([2 + 2j, 3 + 3j, 4 + 4j]))
@pytest.mark.parametrize("lines", LINE_COLLECTION_INIT)
def test_line_collection_extend(lines):
lc = LineCollection([(3, 3j)])
lc.extend(lines)
assert len(lc) == 3
assert np.all(lc[0] == np.array([3, 3j]))
assert np.all(lc[1] == np.array([0, 1 + 1j]))