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import numpy as np
from itertools import chain
def compress(data, selectors):
return (d for d, s in zip(data, selectors) if s)
class Leaf(object):
def __init__(self, mesh, mesh_idx, zvalue=None):
self.mesh_idx = mesh_idx
self.size = mesh.shape[0]
self.zvalue = zvalue
self.lower_bound = np.array([np.min(mesh[:,:,0]), np.min(mesh[:,:,1]), np.min(mesh[:,:,2])])
self.upper_bound = np.array([np.max(mesh[:,:,0]), np.max(mesh[:,:,1]), np.max(mesh[:,:,2])])
self.center = (self.lower_bound + self.upper_bound)/2.0
class Node(object):
def __init__(self, children, zvalue=None):
self.size = len(children)
self.zvalue = zvalue
lower_pts = np.array([child.lower_bound for child in children])
upper_pts = np.array([child.upper_bound for child in children])
self.lower_bound = np.array([np.min(lower_pts[:,0]), np.min(lower_pts[:,1]), np.min(lower_pts[:,2])])
self.upper_bound = np.array([np.max(upper_pts[:,0]), np.max(upper_pts[:,1]), np.max(upper_pts[:,2])])
self.children = children
self.center = (self.lower_bound + self.upper_bound)/2.0
def interleave(*args):
return int("".join(chain(*zip(*[bin(x)[2:].zfill(x.nbytes*8) for x in args]))), 2)
def morton_order(mesh, bits=8):
lower_bound = np.array([np.min(mesh[:,:,0]), np.min(mesh[:,:,1]), np.min(mesh[:,:,2])])
upper_bound = np.array([np.max(mesh[:,:,0]), np.max(mesh[:,:,1]), np.max(mesh[:,:,2])])
def quantize(x):
return np.uint64((x-lower_bound)*bits/(upper_bound-lower_bound))
zvalues = np.empty(mesh.shape[0], dtype=np.uint64)
for i, triangle in enumerate(mesh):
zvalues[i] = interleave(*quantize(np.mean(triangle, axis=0)))
order = np.array(zip(*sorted(zip(zvalues, range(len(zvalues)))))[-1])
return order, zvalues
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