Source code for pymunk.contact_point_set
__docformat__ = "reStructuredText"
from typing import TYPE_CHECKING, List, Tuple
if TYPE_CHECKING:
from ._chipmunk_cffi import ffi
from .vec2d import Vec2d
[docs]
class ContactPoint(object):
"""Contains information about a contact point.
point_a and point_b are the contact position on the surface of each shape.
distance is the penetration distance of the two shapes. Overlapping
means it will be negative. This value is calculated as
dot(point2 - point1), normal) and is ignored when you set the
Arbiter.contact_point_set.
"""
point_a: Vec2d
point_b: Vec2d
distance: float
__slots__ = ("point_a", "point_b", "distance")
[docs]
def __init__(
self,
point_a: Vec2d,
point_b: Vec2d,
distance: float,
) -> None:
assert len(point_a) == 2
assert len(point_b) == 2
self.point_a = point_a
self.point_b = point_b
self.distance = distance
def __repr__(self) -> str:
return "ContactPoint(point_a={}, point_b={}, distance={})".format(
self.point_a, self.point_b, self.distance
)
[docs]
class ContactPointSet(object):
"""Contact point sets make getting contact information simpler.
normal is the normal of the collision
points is the array of contact points. Can be at most 2 points.
"""
normal: Vec2d
points: List[ContactPoint]
__slots__ = ("normal", "points")
[docs]
def __init__(self, normal: Vec2d, points: List[ContactPoint]) -> None:
assert len(normal) == 2
self.normal = normal
self.points = points
def __repr__(self) -> str:
return "ContactPointSet(normal={}, points={})".format(self.normal, self.points)
@classmethod
def _from_cp(cls, _points: "ffi.CData") -> "ContactPointSet":
normal = Vec2d(_points.normal.x, _points.normal.y)
points = []
for i in range(_points.count):
_p = _points.points[i]
p = ContactPoint(
Vec2d(_p.pointA.x, _p.pointA.y),
Vec2d(_p.pointB.x, _p.pointB.y),
_p.distance,
)
points.append(p)
return cls(normal, points)