Commit f4320ed1 by Paul McCarthy 🚵

### Unit test for transformNormal

parent 1ac96c1a
 ... ... @@ -8,10 +8,11 @@ from __future__ import division import glob import os.path as op import itertools as it import numpy as np import glob import os.path as op import itertools as it import numpy as np import numpy.linalg as npla import six ... ... @@ -337,10 +338,12 @@ def test_transform_vector(seed): vecExpected = np.dot(xform, list(v) + [0])[:3] ptExpected = np.dot(xform, list(v) + [1])[:3] vecResult = transform.transform(v, xform, vector=True) ptResult = transform.transform(v, xform, vector=False) vecResult = transform.transform(v, xform, vector=True) vec33Result = transform.transform(v, xform[:3, :3], vector=True) ptResult = transform.transform(v, xform, vector=False) assert np.all(np.isclose(vecExpected, vecResult)) assert np.all(np.isclose(vecExpected, vec33Result)) assert np.all(np.isclose(ptExpected, ptResult)) ... ... @@ -424,3 +427,30 @@ def test_veclength(seed): for v in vectors: assert np.isclose(transform.veclength(v), l(v)) def test_transformNormal(seed): normals = -100 + 200 * np.random.random((50, 3)) def tn(n, xform): xform = npla.inv(xform[:3, :3]).T return np.dot(xform, n) for n in normals: scales = -10 + np.random.random(3) * 10 offsets = -100 + np.random.random(3) * 200 rotations = -np.pi + np.random.random(3) * 2 * np.pi origin = -100 + np.random.random(3) * 200 xform = transform.compose(scales, offsets, rotations, origin) expected = tn(n, xform) result = transform.transformNormal(n, xform) assert np.all(np.isclose(expected, result))
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