def generate(self):
p = PNMImage(self.size, self.size, num_channels=2)
for y in range(self.size):
ry = (y - self.half_size + 0.5) / self.size
for x in range(self.size):
rx = (x - self.half_size + 0.5) / self.size
dist = sqrt(rx * rx + ry * ry)
value = min(1.0, pow(self.factor, dist))
v = value * self.max_value
p.set_xel_a(x, y, v, v, v, v)
return p
def generate(self):
p = PNMImage(self.size, self.size, num_channels=2)
sigma = self.fwhm / (2 * sqrt(2 * log(2)))
inv_sig2 = 1.0 / (2 * sigma * sigma)
inv_factor = 1.0 / (sigma * sqrt(2.0 * pi))
for y in range(self.size):
ry = y - self.half_size + 0.5
for x in range(self.size):
rx = x - self.half_size + 0.5
dist2 = rx*rx + ry*ry
value = min(1.0, exp(- dist2 * inv_sig2) * inv_factor * self.fwhm)
v = value * self.max_value
p.set_xel_a(x, y, v, v, v, v)
return p
def generate(self):
p = PNMImage(self.size, self.size, num_channels=2, maxval=65535)
for y in range(self.size):
ry = (y - self.half_size + 0.5) / (self.half_size - 1)
for x in range(self.size):
rx = (x - self.half_size + 0.5) / (self.half_size - 1)
r = sqrt(rx * rx + ry * ry)
if r > 1.0:
r = 0.0
elif r > 0.5:
r = 2 * (1 - r)
else:
r = 1.0
r *= self.max_value
p.set_xel_a(x, y, r, r, r, r)
return p
def generate(self):
pt = self.top.generate()
pb = self.bottom.generate()
p = PNMImage(self.size, self.size, num_channels=2)
for y in range(self.size):
yt = y - self.size / 2 + self.top.size / 2
yb = y - self.size / 2 + self.bottom.size / 2
for x in range(self.size):
xt = x - self.size / 2 + self.top.size / 2
xb = x - self.size / 2 + self.bottom.size / 2
if xt < 0 or xt >= self.top.size or yt < 0 or yt >= self.top.size:
c = pb.get_xel_a(xb, yb)
elif xb < 0 or xb >= self.bottom.size or yb < 0 or yb >= self.bottom.size:
c = pt.get_xel_a(xt, yt)
else:
ct = pt.get_xel_a(xt, yt)
cb = pb.get_xel_a(xb, yb)
c = ct + cb * (1 - ct[3])
c[3] = ct[3] + cb[3] * (1 - ct[3])
p.set_xel_a(x, y, c)
return p
