# GNU General Public License for more details. #
# #
# Copyright 2020 Paul RASCLE www.openfields.fr #
# #
##########################################################################
import os
import sys
import math
from gendata import getSampleCloud, getSamplePoly, dataDir, isCoordEqual, createSymbolicLinks
import cloudComPy as cc
createSymbolicLinks() # required for tests on build, before cc.initCC.init
cc.initCC() # to do once before using plugins or dealing with numpy
cloud1 = cc.loadPointCloud(getSampleCloud(5.0))
cloud1.setName("cloud1")
cloud2ref = cc.loadPointCloud(getSampleCloud(5.0, 9.0))
cloud2ref.setName("cloud2_reference")
cloud2 = cloud2ref.cloneThis()
tr1 = cc.ccGLMatrix()
# -------------------- z -- y -- x
tr1.initFromParameters(0.0, 0.0, 0.1, (0.0, 0.0, 0.3))
cloud2.applyRigidTransformation(tr1)
cloud2.setName("cloud2_transformed")
cc.SaveEntities([cloud1, cloud2ref, cloud2],
os.path.join(dataDir, "clouds2.bin"))
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
# GNU General Public License for more details. #
# #
# Copyright 2020 Paul RASCLE www.openfields.fr #
# #
##########################################################################
import os
import sys
import math
from gendata import getSampleCloud, getSamplePoly, dataDir, isCoordEqual, createSymbolicLinks
import cloudComPy as cc
createSymbolicLinks() # required for tests on build, before cc.initCC.init
cc.initCC() # to do once before using plugins or dealing with numpy
cloud = cc.loadPointCloud(getSampleCloud(5.0))
tr1 = cc.ccGLMatrix()
tr1.initFromParameters(0.1, 0.2, 0.3, (8.0, 0.0, 0.0))
box = cc.ccBox((1., 2., 3.), tr1, "aBox")
if box.getName() != 'aBox':
raise RuntimeError
if box.size() != 12:
raise RuntimeError
tr2 = cc.ccGLMatrix()
tr2.initFromParameters(0.5, (0., 1., 0.), (5.0, 6.0, 3.0))
cone = cc.ccCone(3., 1., 2., 0., 0., tr2, "aCone", 12)
if cone.getName() != 'aCone':
raise RuntimeError
if cone.size() != 48:
# GNU General Public License for more details. #
# #
# Copyright 2020 Paul RASCLE www.openfields.fr #
# #
##########################################################################
import os
import sys
import math
from gendata import getSampleCloud, dataDir
import numpy as np
import cloudComPy as cc
cc.initCC() # Sto do once before using plugins or dealing with numpy
cloud1 = cc.loadPointCloud(getSampleCloud(2.0))
ok = cloud1.exportCoordToSF(False, False, True)
if not ok:
raise RuntimeError
res = cloud1.hasScalarFields()
print("hasScalarField: %s" % res)
if not res:
raise RuntimeError
n = cloud1.getNumberOfScalarFields()
print("number of saclar fields: %s" % n)
if n != 1:
raise RuntimeError
