def function(self,params):
"""Archemidean spiral function."""
aspect_ratio = params['aspect_ratio']
x = self.pattern_x/aspect_ratio
y = self.pattern_y
thickness = params['thickness']
gaussian_width = params['smoothing']
size = params['size']
half_thickness = thickness/2.0
spacing = size*2*pi
distance_from_origin = sqrt(x**2+y**2)
distance_from_spiral_middle = fmod(spacing + distance_from_origin - size*arctan2(y,x),spacing)
distance_from_spiral_middle = minimum(distance_from_spiral_middle,spacing - distance_from_spiral_middle)
distance_from_spiral = distance_from_spiral_middle - half_thickness
spiral = 1.0 - greater_equal(distance_from_spiral,0.0)
sigmasq = gaussian_width*gaussian_width
with float_error_ignore():
falloff = exp(divide(-distance_from_spiral*distance_from_spiral, 2.0*sigmasq))
return maximum(falloff, spiral)
def function(self,params):
"""Concentric rings."""
aspect_ratio = params['aspect_ratio']
x = self.pattern_x/aspect_ratio
y = self.pattern_y
thickness = params['thickness']
gaussian_width = params['smoothing']
size = params['size']
half_thickness = thickness / 2.0
distance_from_origin = sqrt(x**2+y**2)
distance_from_ring_middle = fmod(distance_from_origin,size)
distance_from_ring_middle = minimum(distance_from_ring_middle,size - distance_from_ring_middle)
distance_from_ring = distance_from_ring_middle - half_thickness
ring = 1.0 - greater_equal(distance_from_ring,0.0)
sigmasq = gaussian_width*gaussian_width
with float_error_ignore():
falloff = exp(divide(-distance_from_ring*distance_from_ring, 2.0*sigmasq))
return maximum(falloff, ring)
def function(self,params):
"""Hyperbolic function."""
aspect_ratio = params['aspect_ratio']
x = self.pattern_x/aspect_ratio
y = self.pattern_y
thickness = params['thickness']
gaussian_width = params['smoothing']
size = params['size']
half_thickness = thickness / 2.0
distance_from_vertex_middle = fmod(sqrt(absolute(x**2 - y**2)),size)
distance_from_vertex_middle = minimum(distance_from_vertex_middle,size - distance_from_vertex_middle)
distance_from_vertex = distance_from_vertex_middle - half_thickness
hyperbola = 1.0 - greater_equal(distance_from_vertex,0.0)
sigmasq = gaussian_width*gaussian_width
with float_error_ignore():
falloff = exp(divide(-distance_from_vertex*distance_from_vertex, 2.0*sigmasq))
return maximum(falloff, hyperbola)
def function(self,p):
if p.smoothing==0.0:
falloff=self.pattern_y*0.0
else:
with float_error_ignore():
falloff=numpy.exp(numpy.divide(-self.pattern_y*self.pattern_y,
2*p.smoothing*p.smoothing))
return numpy.where(self.pattern_y>0.0,1.0,falloff)
def function(self,params):
"""Radial function."""
aspect_ratio = params['aspect_ratio']
x = self.pattern_x/aspect_ratio
y = self.pattern_y
gaussian_width = params['smoothing']
angle = absolute(arctan2(y,x))
half_length = params['arc_length']/2
radius = 1.0 - greater_equal(angle,half_length)
distance = angle - half_length
sigmasq = gaussian_width*gaussian_width
with float_error_ignore():
falloff = exp(divide(-distance*distance, 2.0*sigmasq))
return maximum(radius, falloff)
