Classes
class	Sphere

class	zPlane

Functions
def	sdf (delta_t, t, x, y, z, tx, ty, tz, block_id)

def	grad_sdf (delta_t, t, x, y, z, tx, ty, tz, block_id)

def	hess_sdf (delta_t, t, x, y, z, tx, ty, tz, block_id)

Variables
int	R = 100

int	d = 1

int	xc = 0

int	yc = 0

int	zc = 0

Function Documentation

◆ grad_sdf()

def sdf_flat.grad_sdf	(	delta_t,
		t,
		x,
		y,
		z,
		tx,
		ty,
		tz,
		block_id
	)

Definition at line 18 of file sdf_flat.py.

 def grad_sdf(delta_t, t, x, y, z, tx, ty, tz, block_id):
     if block_id == -1:
         zeros = np.zeros_like(x)
         zeros = zeros.reshape((-1,1))
         grad_array = np.hstack([zeros, zeros, zeros])
         return grad_array
  
     return zPlane.gradSdf(xc, yc, zc - d * t, x, y, z)
  

◆ hess_sdf()

def sdf_flat.hess_sdf	(	delta_t,
		t,
		x,
		y,
		z,
		tx,
		ty,
		tz,
		block_id
	)

Definition at line 27 of file sdf_flat.py.

 def hess_sdf(delta_t, t, x, y, z, tx, ty, tz, block_id):
     if block_id == -1:
         zeros = np.zeros_like(x)
         zeros = zeros.reshape((-1,1))
         hess_array = np.hstack([zeros, zeros, zeros, zeros, zeros, zeros])
         # xx, yx, zx, yy, zy, zz
         return hess_array
     
     return zPlane.hessSdf(xc, yc, zc - d * t, x, y, z)
  

◆ sdf()

def sdf_flat.sdf	(	delta_t,
		t,
		x,
		y,
		z,
		tx,
		ty,
		tz,
		block_id
	)

Definition at line 11 of file sdf_flat.py.

 def sdf(delta_t, t, x, y, z, tx, ty, tz, block_id):
     
     if block_id == -1:
         return np.ones_like(x)
  
     return zPlane.sDF(xc, yc, zc - d * t, x, y, z)