def place(x, y, z, lcval, crustval, bathyval, doSchematics, r=None, g=None, b=None, ir=None):
try:
Terrain.terdict[lcval]
except KeyError:
print "lcval value %s not found!" % lcval
(y, column, tree) = Terrain.terdict.get(lcval, Terrain.terdict[0])(x, y, z, crustval, bathyval, doSchematics)
merged = [ (depth, (block, 0)) if type(block) is not tuple else (depth, block) for (depth, block) in column ]
# y=0 is always bedrock
blocks = [ (0, materialNamed('Bedrock')) ]
datas = [ (0, 0) ]
core = [ ((y - height(merged)), ('End Stone', 0)) ] + merged
base = 0
while core:
(depth, (block, data)) = core.pop(0)
[ blocks.append((y, materialNamed(block) if type(block) is str else block)) for y in xrange(base, base+depth) if y > 0 ]
[ datas.append((y, data)) for y in xrange(base, base+depth) if y > 0 ]
base += depth
water = materialNamed('Water')
water = water(0) if type(water) is tuple else water
iswater = (block == 'Water') if type(block) is str else (block == water)
if haveOrthoColors and not(iswater):
[block, data] = mcBlockData.nearest(r, g, b, ir, not(lcval >= 22 and lcval <=25))
blocks[-1] = (blocks[-1][0], block)
datas[-1] = (datas[-1][0], data)
return blocks, datas, tree
def geom_mat(self, tri, x, y, z, timg, ttex, majax, smjax, minax):
if ttex == None or timg == None:
return [1, 0]
# Step 1: Grab all the points
p1 = [x, y, z]
p1[majax] -= 0.5
p1[smjax] -= 0.5
p1 = self.geom_cart2bary(tri, p1[0], p1[1], p1[2], minax)
if p1[0] == 0 and p1[2] == 0 and p1[2] == 0:
return [1, 0]
p2 = [x, y, z]
p2[majax] += 0.5
p2[smjax] -= 0.5
p2 = self.geom_cart2bary(tri, p2[0], p2[1], p2[2], minax)
if p2[0] == 0 and p2[2] == 0 and p2[2] == 0:
return [1, 0]
p3 = [x, y, z]
p3[majax] -= 0.5
p3[smjax] += 0.5
p3 = self.geom_cart2bary(tri, p3[0], p3[1], p3[2], minax)
if p3[0] == 0 and p3[2] == 0 and p3[2] == 0:
return [1, 0]
p4 = [x, y, z]
p4[majax] += 0.5
p4[smjax] += 0.5
p4 = self.geom_cart2bary(tri, p4[0], p4[1], p4[2], minax)
if p4[0] == 0 and p4[2] == 0 and p4[2] == 0:
return [1, 0]
# Step 2: Map modified texture coordinates to pixel coords
p1 = np.dot(p1[0:3], ttex)
p2 = np.dot(p2[0:3], ttex)
p3 = np.dot(p3[0:3], ttex)
p4 = np.dot(p4[0:3], ttex)
# Step 3: Scan/rasterize over all pixels
c = 1 + abs(max(p2[0] - p1[0], p4[0] - p3[0]))
d = 1 + abs(max(p3[1] - p1[1], p4[1] - p2[1]))
# Cheap trimming. Appears to be ok.
c = c if c < 7 else 7
d = d if d < 7 else 7
pxcount = 0
pxsum = [0.0] * len(timg.uintarray[0, 0])
for a in np.linspace(0, 1, d):
for b in np.linspace(0, 1, c):
cx = a * p3[0] + (1 - a) * p1[0] + a * (p4[0] - p3[0]) * b + (1 - a) * (p2[0] - p1[0]) * b
cy = a * p3[1] + (1 - a) * p1[1] + a * (p4[1] - p3[1]) * b + (1 - a) * (p2[1] - p1[1]) * b
# Step 3: Grab the pixel there
pxc = array(
[
self.modulus(cx, timg.uintarray.shape[1]),
self.modulus((timg.uintarray.shape[0] - cy), timg.uintarray.shape[0]),
]
)
if np.isnan(pxc[0]) or np.isnan(pxc[1]):
continue
if pxc[1] >= timg.uintarray.shape[0] or pxc[0] >= timg.uintarray.shape[1]:
continue
pixel = timg.uintarray[pxc[1], pxc[0]]
pxcount += 1
pxsum = pxsum + pixel
data, damage = [1, 0]
if pxcount > 0:
self.pxscan += pxcount
pixel = pxsum / float(pxcount)
if len(pixel) >= 4 and pixel[3] < 127:
if pixel[3] < 1:
data, damage = [0, 0] # air
else:
data, damage = [20, 0] # glass
else:
data, damage = mcBlockData.nearest(int(pixel[0]), int(pixel[1]), int(pixel[2]))
return [data, damage]
def geom_mat(self, tri, x, y, z, timg, ttex, majax, smjax, minax):
if ttex == None or timg == None:
return [1, 0]
# Step 1: Grab all the points
p1 = [x, y, z]
p1[majax] -= 0.5
p1[smjax] -= 0.5
p1 = self.geom_cart2bary(tri, p1[0], p1[1], p1[2], minax)
if p1[0] == 0 and p1[2] == 0 and p1[2] == 0:
return [1, 0]
p2 = [x, y, z]
p2[majax] += 0.5
p2[smjax] -= 0.5
p2 = self.geom_cart2bary(tri, p2[0], p2[1], p2[2], minax)
if p2[0] == 0 and p2[2] == 0 and p2[2] == 0:
return [1, 0]
p3 = [x, y, z]
p3[majax] -= 0.5
p3[smjax] += 0.5
p3 = self.geom_cart2bary(tri, p3[0], p3[1], p3[2], minax)
if p3[0] == 0 and p3[2] == 0 and p3[2] == 0:
return [1, 0]
p4 = [x, y, z]
p4[majax] += 0.5
p4[smjax] += 0.5
p4 = self.geom_cart2bary(tri, p4[0], p4[1], p4[2], minax)
if p4[0] == 0 and p4[2] == 0 and p4[2] == 0:
return [1, 0]
# Step 2: Map modified texture coordinates to pixel coords
p1 = np.dot(p1[0:3], ttex)
p2 = np.dot(p2[0:3], ttex)
p3 = np.dot(p3[0:3], ttex)
p4 = np.dot(p4[0:3], ttex)
# Step 3: Scan/rasterize over all pixels
c = 1 + abs(max(p2[0] - p1[0], p4[0] - p3[0]))
d = 1 + abs(max(p3[1] - p1[1], p4[1] - p2[1]))
# Cheap trimming. Appears to be ok.
c = c if c < 7 else 7
d = d if d < 7 else 7
pxcount = 0
pxsum = [0.] * len(timg.uintarray[0, 0])
for a in np.linspace(0, 1, d):
for b in np.linspace(0, 1, c):
cx = a * p3[0] + (1 - a) * p1[0] + a * (p4[0] - p3[0]) * b + (
1 - a) * (p2[0] - p1[0]) * b
cy = a * p3[1] + (1 - a) * p1[1] + a * (p4[1] - p3[1]) * b + (
1 - a) * (p2[1] - p1[1]) * b
# Step 3: Grab the pixel there
pxc = array([self.modulus(cx,timg.uintarray.shape[1]), \
self.modulus((timg.uintarray.shape[0] - cy),timg.uintarray.shape[0])])
if np.isnan(pxc[0]) or np.isnan(pxc[1]):
continue
if pxc[1] >= timg.uintarray.shape[0] or pxc[
0] >= timg.uintarray.shape[1]:
continue
pixel = timg.uintarray[pxc[1], pxc[0]]
pxcount += 1
pxsum = pxsum + pixel
data, damage = [1, 0]
if pxcount > 0:
self.pxscan += pxcount
pixel = pxsum / float(pxcount)
if len(pixel) >= 4 and pixel[3] < 127:
if pixel[3] < 1:
data, damage = [0, 0] # air
else:
data, damage = [20, 0] # glass
else:
data, damage = mcBlockData.nearest(int(pixel[0]),
int(pixel[1]),
int(pixel[2]))
return [data, damage]
