def test_point():
poly1 = [(1,1), (1,-1), (-1,-1), (-1,1)]
poly2 = [(2,2), (1,-1), (-1,-1), (-1,1)]
assert helpers.pointInPolygon(0, 0, poly1)
assert helpers.pointInPolygon(12, 12, poly1) == False
assert helpers.pointInPolygon(0, 0, [(0,0), (1,1)]) == False
helpers.nxutils = nxutils
matplotlib.__version__ = '1.1' # matplotlib.nxutils
assert helpers.polygonsOverlap(poly1, poly2)
del(helpers.nxutils)
matplotlib.__version__ = '0.0' # pure python
assert helpers.polygonsOverlap(poly1, poly2)
matplotlib.__version__ = mpl_version
def test_point():
poly1 = [(1, 1), (1, -1), (-1, -1), (-1, 1)]
poly2 = [(2, 2), (1, -1), (-1, -1), (-1, 1)]
assert helpers.pointInPolygon(0, 0, poly1)
assert (helpers.pointInPolygon(12, 12, poly1) is False)
assert (helpers.pointInPolygon(0, 0, [(0, 0), (1, 1)]) is False)
if have_nxutils:
helpers.nxutils = nxutils
matplotlib.__version__ = '1.1' # matplotlib.nxutils
assert helpers.polygonsOverlap(poly1, poly2)
del helpers.nxutils
matplotlib.__version__ = '0.0' # pure python
assert helpers.polygonsOverlap(poly1, poly2)
matplotlib.__version__ = mpl_version
def overlaps(self, polygon):
"""Determines if this stimulus intersects another one. If `polygon` is
another stimulus instance, then the vertices and location of that stimulus
will be used as the polygon. Overlap detection is only approximate; it
can fail with pointy shapes. Returns `True` if the two shapes overlap.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `overlaps` method; the extent of the
stimulus is determined purely by the size, pos, and orientation settings
(and by the vertices for shape stimuli).
See coder demo, shapeContains.py
"""
if self.needVertexUpdate:
self._calcVerticesRendered()
if self.ori:
polyRendered = self._getPolyAsRendered()
return polygonsOverlap(polyRendered, polygon)
else:
return polygonsOverlap(self, polygon)
def overlaps(self, polygon):
"""Determines if this stimulus intersects another one. If `polygon` is
another stimulus instance, then the vertices and location of that stimulus
will be used as the polygon. Overlap detection is only approximate; it
can fail with pointy shapes. Returns `True` if the two shapes overlap.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `overlaps` method; the extent of the
stimulus is determined purely by the size, pos, and orientation settings
(and by the vertices for shape stimuli).
See coder demo, shapeContains.py
"""
return polygonsOverlap(self, polygon)
def overlaps(self, polygon):
"""Returns `True` if this stimulus intersects another one.
If `polygon` is
another stimulus instance, then the vertices and location of that stimulus
will be used as the polygon. Overlap detection is typically very good, but it
can fail with very pointy shapes in a crossed-swords configuration.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `overlaps` method; the extent of the
stimulus is determined purely by the size, pos, and orientation settings
(and by the vertices for shape stimuli).
See coder demo, shapeContains.py
"""
return polygonsOverlap(self, polygon)
def overlaps(self, polygon):
"""Determines if the image overlaps another image or shape (`polygon`).
See :class:`~psychopy.visual.ShapeStim` `.overlaps()`.
"""
return polygonsOverlap(self, polygon)
