def mainR():
'''
Test to demonstrate reading an obj file
and using clones
'''
from PyRatObjParser import PyRatObjParser
from PyRatClone import PyRatClone
from PyRatBox import test
import sys
if len(sys.argv) > 1:
filename = sys.argv[1]
else:
filename = 'tests/clone2.obj'
filename = 'tests/new_plant.obj'
hasGL = False
world = PyRatObjParser(filename, verbose=True, GL=True)
if world.root.size == 0:
world.error('Zero size in world root')
return False
world.root.planes = world.infinitePlane
info = {'verbose': True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(np.zeros(3),
np.zeros(3),
obj=world.root,
info=info,
type=name,
nAtTime=100 * 100 / 20,
name=name[5:])
return True
def main():
'''
A simple test of the Spheroid algorithm
A scan over a Spheroid is made and an image produced
tests/PyRatSpheroid-near.png with the distances.
It should be ~1 in the centre (since the camera is located at z=4)
but this is a volumetric example.
'''
import sys
import os
from PyRatRay import PyRatRay
import pylab as plt
from PyRatBox import test
base = np.array([0, 0, 0.])
radius = 1.0
info = {'verbose': True} #,'lad':3.0}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(base, radius, info=info, type=name, name=name[5:])
def mainR():
'''
Test to demonstrate reading an obj file
and using clones
'''
from PyRatObjParser import PyRatObjParser
from PyRatClone import PyRatClone
from PyRatBox import test
import sys
if len(sys.argv) > 1:
filename = sys.argv[1]
else:
filename = 'tests/clone2.obj'
filename = 'tests/new_plant.obj'
hasGL = False
world = PyRatObjParser(filename,verbose=True,GL=True)
if world.root.size == 0:
world.error('Zero size in world root')
return False
world.root.planes = world.infinitePlane
info = {'verbose':True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(np.zeros(3),np.zeros(3),obj=world.root,info=info,type=name,nAtTime=100*100/20,name=name[5:])
return True
def main():
'''
A simple test of the Spheroid algorithm
A scan over a Spheroid is made and an image produced
tests/PyRatSpheroid-near.png with the distances.
It should be ~1 in the centre (since the camera is located at z=4)
but this is a volumetric example.
'''
import sys
import os
from PyRatRay import PyRatRay
import pylab as plt
from PyRatBox import test
base = np.array([0,0,0.])
radius = 1.0
info = {'verbose':True}#,'lad':3.0}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(base,radius,info=info,type=name,name=name[5:])
def main():
'''
A simple test of the cylinder algorithm
A scan over a cylinder is made and an image produced
tests/PyRatCylinder-near.png and tests/PyRatCylinder-far.png with the distances.
It should be close to 1 at the nearest point (since the camera is located at z=2) for the near
intersection and 2.0 for the far.
'''
# set up a test object: a facet
from PyRatBox import test
base = np.array([-0.5,1.,0.])
tip = np.array([0.,0.,3.0])
info = {'verbose':True,'radius':0.5,'caps':True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(base,tip,info=info,type=name,name=name[5:])
def main():
'''
A simple test of the cylinder algorithm
A scan over a cylinder is made and an image produced
tests/PyRatCylinder-near.png and tests/PyRatCylinder-far.png with the distances.
It should be close to 1 at the nearest point (since the camera is located at z=2) for the near
intersection and 2.0 for the far.
'''
# set up a test object: a facet
from PyRatBox import test
base = np.array([-0.5, 1., 0.])
tip = np.array([0., 0., 3.0])
info = {'verbose': True, 'radius': 0.5, 'caps': True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(base, tip, info=info, type=name, name=name[5:])
def main():
'''
A simple test of the Disk algorithm
A scan over a disk is made and an image produced
tests/PyRatDisk-near.png with the distances.
It should be 1 in the centre (since the camera is located at z=4)
'''
import sys
import os
from PyRatRay import PyRatRay
import pylab as plt
# set up a test object: a disk
from PyRatBox import test
base = np.array([0,0,1.])
normal = np.array([1,1,1.])
info = {'verbose':True,'radius':1.0}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(base,normal,info=info,type=name,name=name[5:])
def main():
'''
A simple test of the Plane algorithm
A scan over a Plane is made and an image produced
tests/PyRatPlane-near.png with the distances.
It should be 1 in the centre (since the camera is located at z=4)
'''
import sys
import os
from PyRatRay import PyRatRay
import pylab as plt
from PyRatBox import test
min = [0.,0.,3]
normal = [1,1,1]
info = {'verbose':True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(min,normal,info=info,type=name,name=name[5:])
def main():
'''
A simple test of the Disk algorithm
A scan over a disk is made and an image produced
tests/PyRatDisk-near.png with the distances.
It should be 1 in the centre (since the camera is located at z=4)
'''
import sys
import os
from PyRatRay import PyRatRay
import pylab as plt
# set up a test object: a disk
from PyRatBox import test
base = np.array([0, 0, 1.])
normal = np.array([1, 1, 1.])
info = {'verbose': True, 'radius': 1.0}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(base, normal, info=info, type=name, name=name[5:])
def main():
'''
A simple test of the Plane algorithm
A scan over a Plane is made and an image produced
tests/PyRatPlane-near.png with the distances.
It should be 1 in the centre (since the camera is located at z=4)
'''
import sys
import os
from PyRatRay import PyRatRay
import pylab as plt
from PyRatBox import test
min = [0., 0., 3]
normal = [1, 1, 1]
info = {'verbose': True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(min, normal, info=info, type=name, name=name[5:])
def main():
'''
A simple test of the Facet algorithm
A scan over a disk is made and an image produced
tests/PyRatFacet-near.png with the distances.
It should be 1 in the centre (since the camera is located at z=4)
'''
import sys
import os
import numpy as np
from PyRatRay import PyRatRay
import pylab as plt
from PyRatFacet import PyRatFacet
# set up a test object: a disk
from PyRatBox import test
vertices = np.array([[0,0,0.],[0,2,0],[2,0,-1]])
info = {'verbose':True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(vertices,None,info=info,type=name,name=name[5:])
def main():
'''
A simple test of the Facet algorithm
A scan over a disk is made and an image produced
tests/PyRatFacet-near.png with the distances.
It should be 1 in the centre (since the camera is located at z=4)
'''
import sys
import os
import numpy as np
from PyRatRay import PyRatRay
import pylab as plt
from PyRatFacet import PyRatFacet
# set up a test object: a disk
from PyRatBox import test
vertices = np.array([[0, 0, 0.], [0, 2, 0], [2, 0, -1]])
info = {'verbose': True}
name = str(globals()['__file__'].split('/')[-1].split('.')[0])
test(vertices, None, info=info, type=name, name=name[5:])
