def poisson(r):
setup_poisson(gridnumbers, cols, rows)
if _adjustment.surpass_volume_poisson(1.02, Circles, ideal_volumes):
while _adjustment.surpass_volume_poisson(
1.02, Circles, ideal_volumes) and _adjustment.stop_recursion(
Circles, roundRadius):
_adjustment.adjust_radius(-1, Circles, roundRadius)
if not _adjustment.surpass_volume_poisson(1, Circles, ideal_volumes):
_adjustment.adjust_radius(1, Circles, roundRadius)
elif not _adjustment.surpass_volume_poisson(1, Circles, ideal_volumes):
_adjustment.remove_particles(maximums[0], roundRadius[0], Circles)
r = r - 10
poisson(r)
def poisson(r): gradient = width / 100 setup_poisson(gridnumbers, cols, rows) if _adjustment.surpass_volume_poisson(5, Circles, ideal_volumes): # volume surpasses the target by more than 20%, remove the particle and regenerate with a larger minimum radius _adjustment.remove_particles(maximums[0], roundRadius[0], Circles) if r + gradient < width: r = r + gradient poisson(r) elif _adjustment.surpass_volume_poisson(2, Circles, ideal_volumes): # volume surpasses the target by more than 2%, shrink the radius while _adjustment.surpass_volume_poisson(1.02, Circles, ideal_volumes) and _adjustment.stop_recursion(Circles, roundRadius): _adjustment.adjust_radius(-1, Circles, roundRadius) if not _adjustment.surpass_volume_poisson(1, Circles, ideal_volumes): _adjustment.adjust_radius(1, Circles, roundRadius) elif not _adjustment.surpass_volume_poisson(1, Circles, ideal_volumes): # volume does not reach the target, remove the particle and regenerate with a smaller minimum radius _adjustment.remove_particles(maximums[0], roundRadius[0], Circles) r = r - gradient poisson(r)