def random_point_comparision_to_nurbs_python(spline: BSpline, count: int = 10):
curve = spline.to_nurbs_python_curve()
for _ in range(count):
t = random.random()
p1 = spline.point(t)
p2 = curve.evaluate_single(t)
assert p1.isclose(p2)
def random_derivatives_comparision_to_nurbs_python(spline: BSpline,
count: int = 10):
curve = spline.to_nurbs_python_curve()
for _ in range(count):
t = random.random()
p1, d1_1, d2_1 = spline.derivative(t, n=2)
p2, d1_2, d2_2 = curve.derivatives(t, order=2)
assert p1.isclose(p2)
assert d1_1.isclose(d1_2)
assert d2_1.isclose(d2_2)
from typing import cast
from pathlib import Path
import ezdxf
from ezdxf.math import Vector, BSpline
DIR = Path('~/Desktop/Outbox').expanduser()
doc = ezdxf.readfile('../../examples/addons/drawing/test_files/hatches_2.dxf')
msp = doc.modelspace()
hatch = cast('Hatch', msp.query('HATCH').first)
if hatch:
for edge in hatch.paths[0].edges:
if edge.EDGE_TYPE == 'SplineEdge':
s = BSpline(control_points=edge.control_points,
knots=edge.knot_values,
order=edge.degree + 1)
print(s.knots())
c = s.to_nurbs_python_curve()
print(c.knotvector)
print(s)
print(list(s.approximate(10)))