def __init__(self, random):
self.c = ColorTransform(random)
# currently we always initialize pseudorandomly, but
# eventually we'll want to generate this deterministically.
self.theta = 2 * pi * random.random()
self.compressme = random.signed_expovariate(0.8, 0.2)
self.Mxx = cos(self.theta) * self.compressme
self.Mxy = sin(self.theta) * self.compressme
self.Myx = -sin(self.theta) * self.compressme
self.Myy = cos(self.theta) * self.compressme
translation_scale = 0.8
self.Ox = random.signed_expovariate(0, translation_scale)
self.Oy = random.signed_expovariate(0, translation_scale)
def __init__(self, random):
self.c = ColorTransform(random)
# currently we always initialize pseudorandomly, but
# eventually we'll want to generate this deterministically.
self.theta = 2*pi*random.random()
self.compressme = random.signed_expovariate(0.8, 0.2)
self.Mxx = cos(self.theta)*self.compressme
self.Mxy = sin(self.theta)*self.compressme
self.Myx = -sin(self.theta)*self.compressme
self.Myy = cos(self.theta)*self.compressme
translation_scale = 0.8
self.Ox = random.signed_expovariate(0, translation_scale)
self.Oy = random.signed_expovariate(0, translation_scale)
def __init__(self, random):
theta = 2 * pi * random.random()
translation_scale = 0.1
self.a = Affine(rzero())
self.a.Ox = random.signed_expovariate(0, translation_scale)
self.a.Oy = random.signed_expovariate(0, translation_scale)
nnn = random.expovariate(1.0 / 3)
self.Nsym = 1 + int(nnn)
if self.Nsym == 1 and random.randint(0, 1) == 0:
# print 'Mirror plane'
self.Nsym = 2
theta = 2 * pi * random.random()
vx = sin(theta)
vy = cos(theta)
self.a.Mxx = vx
self.a.Myy = -vx
self.a.Mxy = vy
self.a.Myx = vy
else:
# print 'Rotation:', self.Nsym, 'from', nnn
self.a.Mxx = cos(2 * pi / self.Nsym)
self.a.Myy = self.a.Mxx
self.a.Mxy = sin(2 * pi / self.Nsym)
self.a.Myx = -self.a.Mxy
def __init__(self, random):
theta = 2*pi*random.random()
translation_scale = 0.1
self.a = Affine(rzero())
self.a.Ox = random.signed_expovariate(0, translation_scale)
self.a.Oy = random.signed_expovariate(0, translation_scale)
nnn = random.expovariate(1.0/3)
self.Nsym = 1 + int(nnn)
if self.Nsym == 1 and random.randint(0,1) == 0:
# print 'Mirror plane'
self.Nsym = 2
theta = 2*pi*random.random()
vx = sin(theta)
vy = cos(theta)
self.a.Mxx = vx
self.a.Myy = -vx
self.a.Mxy = vy
self.a.Myx = vy
else:
# print 'Rotation:', self.Nsym, 'from', nnn
self.a.Mxx = cos(2*pi/self.Nsym)
self.a.Myy = self.a.Mxx
self.a.Mxy = sin(2*pi/self.Nsym)
self.a.Myx = -self.a.Mxy
def __init__(self, random):
self.a = Affine(random)
self.spiralness = random.signed_expovariate(0, 3)
self.radius = random.signed_expovariate(.4, .2)
self.bounciness = random.signed_expovariate(2, 2)
self.bumps = random.randint(1, 4)
def __init__(self, random):
self.a = Affine(random)
self.spiralness = random.signed_expovariate(0, 3)
self.radius = random.signed_expovariate(.4, .2)
self.bounciness = random.signed_expovariate(2, 2)
self.bumps = random.randint(1, 4)
