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New text: Copyright 2013 Pixar Licensed under the Apache License, Version 2.0 (the "Apache License") with the following modification; you may not use this file except in compliance with the Apache License and the following modification to it: Section 6. Trademarks. is deleted and replaced with: 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor and its affiliates, except as required to comply with Section 4(c) of the License and to reproduce the content of the NOTICE file. You may obtain a copy of the Apache License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the Apache License with the above modification is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Apache License for the specific language governing permissions and limitations under the Apache License.
164 lines
5.6 KiB
Python
Executable File
164 lines
5.6 KiB
Python
Executable File
#!/usr/bin/env python
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#
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# Copyright 2013 Pixar
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#
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# Licensed under the Apache License, Version 2.0 (the "Apache License")
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# with the following modification; you may not use this file except in
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# compliance with the Apache License and the following modification to it:
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# Section 6. Trademarks. is deleted and replaced with:
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#
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# 6. Trademarks. This License does not grant permission to use the trade
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# names, trademarks, service marks, or product names of the Licensor
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# and its affiliates, except as required to comply with Section 4(c) of
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# the License and to reproduce the content of the NOTICE file.
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#
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# You may obtain a copy of the Apache License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the Apache License with the above modification is
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# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the Apache License for the specific
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# language governing permissions and limitations under the Apache License.
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#
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import numpy as np
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import unittest, sys
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import osd
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# Topology of a cube.
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faces = [ (0,1,3,2),
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(2,3,5,4),
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(4,5,7,6),
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(6,7,1,0),
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(1,7,5,3),
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(6,0,2,4) ]
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# Vertex positions and "temperature" as an example of a custom
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# attribute.
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verts = [ 0.000000, -1.414214, 1.000000, 71,
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1.414214, 0.000000, 1.000000, 82,
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-1.414214, 0.000000, 1.000000, 95,
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0.000000, 1.414214, 1.000000, 100,
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-1.414214, 0.000000, -1.000000, 63,
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0.000000, 1.414214, -1.000000, 77,
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0.000000, -1.414214, -1.000000, 82,
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1.414214, 0.000000, -1.000000, 32 ]
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dtype = [('Px', np.float32),
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('Py', np.float32),
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('Pz', np.float32),
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('temperature', np.float32)]
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class SimpleTest(unittest.TestCase):
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def test_usage(self):
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mesh = osd.Topology(faces)
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mesh.boundaryMode = osd.BoundaryMode.EDGE_ONLY
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mesh.vertices[0].sharpness = 2.7
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self.assertAlmostEqual(mesh.vertices[0].sharpness, 2.7)
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self.assertEqual(len(mesh.vertices), len(verts) / len(dtype))
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self.assertEqual(len(mesh.faces), len(faces))
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self.assertEqual(len(mesh.faces[0].edges), len(faces[0]))
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mesh.finalize()
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subdivider = osd.Subdivider(
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mesh,
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vertexLayout = dtype,
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indexType = np.uint32,
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levels = 4)
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subdivider.setCoarseVertices(verts, np.float32)
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subdivider.refine()
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numQuads = len(subdivider.getRefinedQuads()) / 4
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numVerts = len(subdivider.getRefinedVertices()) / len(dtype)
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self.assertEqual(numQuads, 1536, "Unexpected number of refined quads")
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self.assertEqual(numVerts, 2056, "Unexpected number of refined verts")
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# For now, disable the leak test by prepending "do_not_".
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def do_not_test_leaks(self):
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self.test_usage()
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start = _get_heap_usage()
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history = []
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for i in xrange(1024):
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self.test_usage()
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if ((i+1) % 256) == 0:
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history.append(_get_heap_usage() - start)
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print str(history[-1]) + "...",
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sys.stdout.flush()
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print
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total = 0
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for i in xrange(1, len(history)):
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delta = history[i] - history[i - 1]
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if delta <= 0:
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return
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total = total + delta
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avg = total / (len(history) - 1)
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self.fail("Memory usage is strictly increasing ({0}).".format(avg))
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def test_Topology_creation(self):
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# Input data
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indices, valences = _flatten(faces)
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# Native list-of-lists, constant valence:
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mesh = osd.Topology(faces)
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self.assert_(mesh,
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"Unable to construct Topology object from a list-of-lists")
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# Native list, constant valence:
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mesh = osd.Topology(indices, 4)
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self.assert_(mesh,
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"Unable to construct Topology object from a list")
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# Native list-of-lists, variable valence:
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faces2 = faces + [(8,9,10)]
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mesh = osd.Topology(faces2)
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self.assert_(mesh,
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"Unable to construct Topology object from a list of "
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"variable-sized lists")
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# Two-dimensional numpy array:
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numpyFaces = np.array(indices, 'uint16').reshape(-1, 4)
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mesh = osd.Topology(numpyFaces)
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self.assert_(mesh,
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"Unable to construct Topology object from a "
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"two-dimensional numpy array")
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# Native index list and valence list:
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mesh = osd.Topology(indices, valences)
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self.assert_(mesh)
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# Numpy index list and valence list:
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indices = np.array(indices, 'uint16')
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valences = np.array(valences, 'uint8')
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mesh = osd.Topology(indices, valences)
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self.assert_(mesh)
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# Ensure various topology checks
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self.assertRaises(osd.OsdTypeError, osd.Topology, indices, None)
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self.assertRaises(osd.OsdTypeError, osd.Topology, faces, valences)
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faces2 = faces + [(8,9)]
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self.assertRaises(osd.TopoError, osd.Topology, faces2)
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valences2 = valences + [3]
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self.assertRaises(osd.TopoError, osd.Topology, indices, valences2)
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def _get_heap_usage():
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import resource
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return resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
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def _flatten(faces):
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import itertools
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flattened = list(itertools.chain(*faces))
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lengths = [len(face) for face in faces]
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return flattened, lengths
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if __name__ == "__main__":
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unittest.main()
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