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 contains(self, x, y=None):
"""Determines if a point x,y is inside the extent of the stimulus.
Can accept: a) two args, x and y; b) one arg, as a point (x,y) that is
list-like; or c) an object with a getPos() method that returns x,y, such
as a mouse. Returns True if the point is within the area defined by `vertices`.
This handles complex shapes, including concavities and self-crossings.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `contains` method; the extent of the
stmulus 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 hasattr(x, 'getPos'):
x, y = x.getPos()
elif type(x) in [list, tuple, numpy.ndarray]:
x, y = x[0], x[1]
if self.units in ['deg','degs']:
x, y = deg2pix(numpy.array((x, y)), self.win.monitor)
elif self.units == 'cm':
x, y = cm2pix(numpy.array((x, y)), self.win.monitor)
if self.ori:
oriRadians = numpy.radians(self.ori)
sinOri = numpy.sin(oriRadians)
cosOri = numpy.cos(oriRadians)
x0, y0 = x-self._posRendered[0], y-self._posRendered[1]
x = x0 * cosOri - y0 * sinOri + self._posRendered[0]
y = x0 * sinOri + y0 * cosOri + self._posRendered[1]
return pointInPolygon(x, y, self)
def contains(self, x, y=None):
"""Determines if a point x,y is on the image (within its boundary).
See :class:`~psychopy.visual.ShapeStim` `.contains()`.
"""
if hasattr(x, 'getPos'):
x,y = x.getPos()
elif type(x) in [list, tuple, numpy.ndarray]:
x,y = x[0:2]
return pointInPolygon(x, y, self)
def contains(self, x, y=None, units=None):
"""Determines if a point x,y is inside the extent of the stimulus.
Can accept variety of input options:
+ two separate args, x and y
+ one arg (list, tuple or array) containing two vals (x,y)
+ an object with a getPos() method that returns x,y, such
as a :class:`~psychopy.event.Mouse`. Returns `True` if the point is
within the area defined by `vertices`.
This method handles complex shapes, including concavities and self-crossings.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `contains` method; the extent of the
stmulus is determined purely by the size, pos and orientation settings
(and by the vertices for shape stimuli).
See coder demo, shapeContains.py
"""
#get the object in pixels
if hasattr(x, 'verticesPix'):
xy = x.verticesPix #access only once - this is a property (slower to access)
units = 'pix' #we can forget about the units
elif hasattr(x, 'getPos'):
xy = x.getPos()
units = x.units
elif type(x) in [list, tuple, numpy.ndarray]:
xy = numpy.array(x)
else:
xy = numpy.array((x,y))
#try to work out what units x,y has
if units is None:
if hasattr(xy, 'units'):
units = xy.units
else:
units = self.units
if units != 'pix':
xy = convertToPix(xy, pos=0, units=units, win=self.win)
# ourself in pixels
selfVerts = self.verticesPix
return pointInPolygon(xy[0], xy[1], poly = selfVerts)
def contains(self, x, y=None, units=None):
"""Determines if a point x,y is inside the extent of the stimulus.
Can accept variety of input options:
+ two separate args, x and y
+ one arg (list, tuple or array) containing two vals (x,y)
+ an object with a getPos() method that returns x,y, such
as a :class:`~psychopy.event.Mouse`. Returns `True` if the point is
within the area defined by `vertices`.
This method handles complex shapes, including concavities and self-crossings.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `contains` method; the extent of the
stmulus is determined purely by the size, pos and orientation settings
(and by the vertices for shape stimuli).
See coder demo, shapeContains.py
"""
#get the object in pixels
if hasattr(x, 'verticesPix'):
xy = x.verticesPix #access only once - this is a property (slower to access)
units = 'pix' #we can forget about the units
elif hasattr(x, 'getPos'):
xy = x.getPos()
units = x.units
elif type(x) in [list, tuple, numpy.ndarray]:
xy = numpy.array(x)
else:
xy = numpy.array((x, y))
#try to work out what units x,y has
if units is None:
if hasattr(xy, 'units'):
units = xy.units
else:
units = self.units
if units != 'pix':
xy = convertToPix(xy, pos=0, units=units, win=self.win)
# ourself in pixels
selfVerts = self.verticesPix
return pointInPolygon(xy[0], xy[1], poly=selfVerts)