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import numpy as np | |
import rtree | |
import time | |
def random_tree_stream(points_count, include_object): | |
properties = rtree.index.Property() | |
properties.dimension = 3 | |
points_random = np.random.random((points_count,3,3)) | |
points_bounds = np.column_stack((points_random.min(axis=1), |
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import sys | |
import numpy as np | |
file_name = 'trimesh/version.py' | |
if __name__ == '__main__': | |
with open(file_name, 'r') as f: | |
text = f.read() | |
split = text.split("'") |
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import trimesh | |
import numpy as np | |
from scipy.spatial import Voronoi | |
if __name__ == '__main__': | |
points = np.random.random((20,3)) | |
v = Voronoi(points) | |
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""" | |
bricks.py | |
------------- | |
Fun with meshes of bricks. | |
""" | |
import trimesh | |
import numpy as np |
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import os | |
import trimesh | |
class FileSystemResolver(object): | |
def __init__(self, source): | |
""" | |
Resolve files based on a source path. | |
""" |
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import numpy as np | |
import trimesh | |
import timeit | |
import time | |
from collections import deque | |
import matplotlib.pyplot as plt | |
from scipy.spatial import cKDTree as KDTree |
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{"vertices": [[11.0, 0.0], [10.995184726672196, -0.0980171403295605], [10.98078528040323, -0.19509032201612808], [10.95694033573221, -0.2902846772544621], [10.923879532511286, -0.3826834323650894], [10.881921264348355, -0.4713967368259972], [10.831469612302545, -0.5555702330196017], [10.773010453362737, -0.6343932841636449], [10.707106781186548, -0.7071067811865469], [10.634393284163647, -0.7730104533627363], [10.555570233019603, -0.8314696123025447], [10.471396736825998, -0.8819212643483545], [10.382683432365091, -0.9238795325112863], [10.290284677254464, -0.9569403357322085], [10.19509032201613, -0.9807852804032302], [10.098017140329562, -0.9951847266721967], [10.000000000000002, -1.0], [9.901982859670442, -0.995184726672197], [9.804909677983874, -0.9807852804032308], [9.70971532274554, -0.9569403357322094], [9.617316567634912, -0.9238795325112875], [9.528603263174004, -0.881921264348356], [9.444429766980399, -0.8314696123025463], [9.365606715836357, -0.7730104533627382], [9.292893218813454, -0.707106781186 |
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import os | |
import trimesh | |
import numpy as np | |
tol_norm = 1e-4 | |
def test_align(align): | |
""" |
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import os | |
import time | |
import trimesh | |
import numpy as np | |
tol_norm = 1e-4 | |
def test_align(align): |
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import pyglet | |
import pyglet.gl as gl | |
import numpy as np | |
import os | |
import tempfile | |
import subprocess | |
import collections |
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