def add_wire_straight(pnts, net, layer, width, radius=0):
rpnts = []
for idx, curr in enumerate(pnts):
if idx == 0 or idx + 1 == len(pnts): # first or last
rpnts.append(curr)
continue
prev = pnts[idx - 1]
next = pnts[idx + 1]
vec_a = vec2.sub(prev, curr)
vec_b = vec2.sub(next, curr)
len_a = vec2.length(vec_a)
len_b = vec2.length(vec_b)
length = min(abs(radius), len_a / 2 if idx - 1 > 0 else len_a,
len_b / 2 if idx + 1 < len(pnts) - 1 else len_b)
if length < 10**(-PointDigits):
rpnts.append(curr)
else:
if radius < 0: # and abs( vec2.dot( vec_a, vec_b ) ) < len_a * len_b * 0.001:
# bezier circle
num_divs = 15
cef = (math.sqrt(0.5) - 0.5) / 3 * 8
bpnts = []
bpnts.append(vec2.scale(length / len_a, vec_a, curr))
bpnts.append(vec2.scale(length / len_a * cef, vec_a, curr))
bpnts.append(vec2.scale(length / len_b * cef, vec_b, curr))
bpnts.append(vec2.scale(length / len_b, vec_b, curr))
num_pnts = len(bpnts)
tmp = [(0, 0) for n in range(num_pnts)]
rpnts.append(bpnts[0])
for i in range(1, num_divs):
t = float(i) / num_divs
s = 1 - t
for n in range(num_pnts):
tmp[n] = bpnts[n]
for L in range(num_pnts - 1, 0, -1):
for n in range(L):
tmp[n] = vec2.scale(s, tmp[n],
vec2.scale(t, tmp[n + 1]))
rpnts.append(tmp[0])
rpnts.append(bpnts[-1])
else:
rpnts.append(vec2.scale(length / len_a, vec_a, curr))
rpnts.append(vec2.scale(length / len_b, vec_b, curr))
for idx, curr in enumerate(rpnts):
if idx == 0:
continue
prev = rpnts[idx - 1]
if vec2.distance(prev, curr) > 0.01:
add_track(prev, curr, net, layer, width)
def W(r, h): # :: Num
'''
A weighting function (kernel) for the contribution of each neighbor
to a particle's density. Forms a nice smooth gradient from the center
of a particle to H, where it's 0
'''
assert isinstance(r, Vec2)
assert isinstance(h, Num)
if 0 < length(r) <= h:
return 315/(64 * pi * h**9) * (h**2 - length(r)**2)**3
else:
return 0
# Typecheck
assert isinstance(ret, Num)
return ret
def intersectCircleCircle(c0P, c0R, c1P, c1R):
v = vec2.sub(c1P, c0P)
d = vec2.length(v)
R = c0R
r = c1R
try:
x = (d * d - r * r + R * R) / (2 * d)
except ZeroDivisionError:
if R < r:
return 'inside', ()
elif r > R:
return 'outside', ()
else:
return 'coincident', ()
k = R * R - x * x
if k < 0:
if x < 0:
return 'inside', ()
else:
return 'outside', ()
else:
y = math.sqrt(k)
return 'intersect', (vec2.toangle(v), vec2.toangle((x, y)))
def intersectCircleCircle(c0P, c0R, c1P, c1R): v = vec2.sub(c1P, c0P) d = vec2.length(v) R = c0R r = c1R try: x = (d*d - r*r + R*R)/(2*d) except ZeroDivisionError: if R<r: return 'inside',() elif r>R: return 'outside',() else: return 'coincident',() k = R*R - x*x if k<0: if x<0: return 'inside',() else: return 'outside',() else: y = math.sqrt(k) return 'intersect',(vec2.toangle(v),vec2.toangle((x,y)))
def W(r, h): # :: Num
'''
A weighting function (kernel) for the contribution of each neighbor
to a particle's density. Forms a nice smooth gradient from the center
of a particle to H, where it's 0
'''
assert isinstance(r, Vec2)
assert isinstance(h, Num)
if 0 < length(r) <= h:
return 315 / (64 * pi * h**9) * (h**2 - length(r)**2)**3
else:
return 0
# Typecheck
assert isinstance(ret, Num)
return ret
def laplacian_W_viscosity(r, h): # :: Num
'''
The laplacian of a weighting function that tends towards infinity when
approching 0 (slows down particles moving faster than their neighbors)
'''
len_r = length(r)
if 0 < len_r <= h:
ret = 45/(2 * pi * h**5) * (1 - len_r/h)
else:
ret = 0
assert isinstance(ret, Num)
return ret
def laplacian_W_viscosity(r, h): # :: Num
'''
The laplacian of a weighting function that tends towards infinity when
approching 0 (slows down particles moving faster than their neighbors)
'''
len_r = length(r)
if 0 < len_r <= h:
ret = 45 / (2 * pi * h**5) * (1 - len_r / h)
else:
ret = 0
assert isinstance(ret, Num)
return ret
def gradient_Wspiky(r, h): # :: Vec2
'''
Gradient ( that is, Vec2(dx, dy) ) of a weighting function for
a particle's pressure. This weight function is spiky (not flat or
smooth at x=0) so particles close together repel strongly
'''
len_r = length(r)
if 0 < len_r <= h:
ret = -1 * r * (45/(pi * h**6 * len_r)) * (h - len_r)**2
else:
ret = Vec2(0, 0)
assert isinstance(ret, Vec2)
return ret
def gradient_Wspiky(r, h): # :: Vec2
'''
Gradient ( that is, Vec2(dx, dy) ) of a weighting function for
a particle's pressure. This weight function is spiky (not flat or
smooth at x=0) so particles close together repel strongly
'''
len_r = length(r)
if 0 < len_r <= h:
ret = -1 * r * (45 / (pi * h**6 * len_r)) * (h - len_r)**2
else:
ret = Vec2(0, 0)
assert isinstance(ret, Vec2)
return ret
def drawRect(pnts, layer, R=75, width=2):
if R > 0:
arcs = []
for idx, a in enumerate(pnts):
b = pnts[idx - 1]
vec = vec2.sub(b, a)
length = vec2.length(vec)
delta = vec2.scale(R / length, vec)
na = vec2.add(a, delta)
nb = vec2.sub(b, delta)
ctr = vec2.add(nb, (delta[1], -delta[0]))
arcs.append((ctr, na, nb))
add_line(na, nb, layer, width)
for idx, (ctr, na, nb) in enumerate(arcs):
arc = add_arc2(ctr, nb, arcs[idx - 1][1], -90, layer, width)
# print( "na ", pnt.mils2unit( vec2.round( na ) ) )
# print( "start", arc.GetArcStart() )
# print( "nb ", pnt.mils2unit( vec2.round( nb ) ) )
# print( "end ", arc.GetArcEnd() )
else:
for idx, a in enumerate(pnts):
b = pnts[idx - 1]
add_line(a, b, layer, width)
while True:
# Clear everything
for particle in particles:
particle.density = DENSITY
particle.pressure_force = Vec2(0,0)
particle.viscosity_force = Vec2(0,0)
# Calculate fluid density around each particle
for particle in particles:
for neighbor in particles:
# If particles are close together, density increases
distance = particle.position - neighbor.position # A vector
if length(distance) <= H: # Particles are close enough to matter
particle.density += MASS * W(distance, H)
# Calculate forces on each particle based on density
for particle in particles:
for neighbor in particles:
distance = particle.position - neighbor.position
if length(distance) <= H:
# Temporary terms used to caclulate forces
density_p = particle.density
density_n = neighbor.density
assert(density_n != 0) # Dividing by density later
# Pressure derived from the ideal gas law (constant temp)
pressure_p = k * (density_p - DENSITY)
while True:
# Clear everything
for particle in particles:
particle.density = DENSITY
particle.pressure_force = Vec2(0, 0)
particle.viscosity_force = Vec2(0, 0)
# Calculate fluid density around each particle
for particle in particles:
for neighbor in particles:
# If particles are close together, density increases
distance = particle.position - neighbor.position # A vector
if length(distance) <= H: # Particles are close enough to matter
particle.density += MASS * W(distance, H)
# Calculate forces on each particle based on density
for particle in particles:
for neighbor in particles:
distance = particle.position - neighbor.position
if length(distance) <= H:
# Temporary terms used to caclulate forces
density_p = particle.density
density_n = neighbor.density
assert (density_n != 0) # Dividing by density later
# Pressure derived from the ideal gas law (constant temp)
pressure_p = k * (density_p - DENSITY)
