/
test_visual_voxels.py
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test_visual_voxels.py
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import numpy as np
import pytest
from math import sqrt, sin, cos
import k3d
from .plot_compare import *
color_map = (0xffff00, 0xff0000, 0x00ff00)
def r(x, y, z, width=100, height=100, length=100):
r = sqrt((x - width / 2) * (x - width / 2) + (y - height / 2) * (y - height / 2) + (
z - length / 2) * (z - length / 2))
r += sin(x / 2) * 3
r += cos(y / 10) * 5
return r
def f(x, y, z, width=100, height=100, length=100):
return 0 if r(x, y, z, width, height, length) > width / 2 else (
1 if z + sin(x / 20) * 10 > length / 2 else 2)
voxels = np.array(
[[[f(x, y, z, 100, 100, 100) for x in range(100)] for y in range(100)] for z in range(100)])
def test_voxels():
global color_map, voxels
prepare()
obj = k3d.voxels(voxels.astype(np.uint8), color_map, outlines=False)
pytest.plot += obj
compare('voxels')
obj.opacity = 0.5
compare('voxels_dynamic_opacity')
def test_voxels_sparse():
global color_map, voxels
prepare()
sparse_data = []
for val in np.unique(voxels):
if val != 0:
z, y, x = np.where(voxels == val)
sparse_data.append(
np.dstack((x, y, z, np.full(x.shape, val))).reshape(-1, 4).astype(np.uint16))
sparse_data = np.vstack(sparse_data)
obj = k3d.sparse_voxels(sparse_data, (100, 100, 100), color_map, outlines=False)
pytest.plot += obj
compare('voxels_sparse')
obj.opacity = 0.5
compare('voxels_sparse_dynamic_opacity')
def test_voxels_wireframe():
global color_map, voxels
prepare()
obj = k3d.voxels(voxels.astype(np.uint8), color_map, outlines=False, wireframe=True)
pytest.plot += obj
compare('voxels_wireframe')
def test_voxels_outline():
global color_map, voxels
prepare()
obj = k3d.voxels(voxels.astype(np.uint8), color_map, outlines=True)
pytest.plot += obj
compare('voxels_outline')
obj.outlines_color = 0xff0000
compare('voxels_outline_dynamic_outlines_color')
def test_voxels_outline_opacity():
global color_map, voxels
prepare()
obj = k3d.voxels(voxels.astype(np.uint8), color_map, outlines=True, opacity=0.5)
pytest.plot += obj
compare('voxels_outline_opacity')
def test_voxels_outline_clipping_plane():
global color_map, voxels
prepare()
obj = k3d.voxels(voxels.astype(np.uint8), color_map, outlines=True)
pytest.plot += obj
pytest.plot.clipping_planes = [
[-1, 0, -1, 50]
]
compare('voxels_outline_clipping_plane')
def test_voxels_box():
global color_map, voxels
prepare()
width, height, length = 200, 50, 100
box_voxels = voxels = np.array(
[[[f(x, y, z, width, height, length) for x in range(width)] for y in range(height)] for z in
range(length)])
obj = k3d.voxels(box_voxels.astype(np.uint8), color_map, outlines=True)
pytest.plot += obj
compare('voxels_box')