blender/source/tests/bl_pyapi_mathutils.py

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# ./blender.bin --background -noaudio --python source/tests/bl_pyapi_mathutils.py
import unittest
from test import support
from mathutils import Matrix, Vector
from mathutils import kdtree
import math
# keep globals immutable
vector_data = (
(1.0, 0.0, 0.0),
(0.0, 1.0, 0.0),
(0.0, 0.0, 1.0),
(1.0, 1.0, 1.0),
(0.33783, 0.715698, -0.611206),
(-0.944031, -0.326599, -0.045624),
(-0.101074, -0.416443, -0.903503),
(0.799286, 0.49411, -0.341949),
(-0.854645, 0.518036, 0.033936),
(0.42514, -0.437866, -0.792114),
(-0.358948, 0.597046, 0.717377),
(-0.985413,0.144714, 0.089294),
)
# get data at different scales
vector_data = sum(
(tuple(tuple(a * scale for a in v) for v in vector_data)
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for scale in (s * sign for s in (0.0001, 0.1, 1.0, 10.0, 1000.0, 100000.0)
for sign in (1.0, -1.0))), ()) + ((0.0, 0.0, 0.0),)
class MatrixTesting(unittest.TestCase):
def test_matrix_column_access(self):
#mat =
#[ 1 2 3 4 ]
#[ 1 2 3 4 ]
#[ 1 2 3 4 ]
mat = Matrix(((1, 11, 111),
(2, 22, 222),
(3, 33, 333),
(4, 44, 444)))
self.assertEqual(mat[0], Vector((1, 11, 111)))
self.assertEqual(mat[1], Vector((2, 22, 222)))
self.assertEqual(mat[2], Vector((3, 33, 333)))
self.assertEqual(mat[3], Vector((4, 44, 444)))
def test_item_access(self):
args = ((1, 4, 0, -1),
(2, -1, 2, -2),
(0, 3, 8, 3),
(-2, 9, 1, 0))
mat = Matrix(args)
for row in range(4):
for col in range(4):
self.assertEqual(mat[row][col], args[row][col])
self.assertEqual(mat[0][2], 0)
self.assertEqual(mat[3][1], 9)
self.assertEqual(mat[2][3], 3)
self.assertEqual(mat[0][0], 1)
self.assertEqual(mat[3][3], 0)
def test_item_assignment(self):
mat = Matrix() - Matrix()
indices = (0, 0), (1, 3), (2, 0), (3, 2), (3, 1)
checked_indices = []
for row, col in indices:
mat[row][col] = 1
for row in range(4):
for col in range(4):
if mat[row][col]:
checked_indices.append((row, col))
for item in checked_indices:
self.assertIn(item, indices)
def test_matrix_to_3x3(self):
#mat =
#[ 1 2 3 4 ]
#[ 2 4 6 8 ]
#[ 3 6 9 12 ]
#[ 4 8 12 16 ]
mat = Matrix(tuple((i, 2 * i, 3 * i, 4 * i) for i in range(1, 5)))
mat_correct = Matrix(((1, 2, 3), (2, 4, 6), (3, 6, 9)))
self.assertEqual(mat.to_3x3(), mat_correct)
def test_matrix_to_translation(self):
mat = Matrix()
mat[0][3] = 1
mat[1][3] = 2
mat[2][3] = 3
self.assertEqual(mat.to_translation(), Vector((1, 2, 3)))
def test_matrix_translation(self):
mat = Matrix()
mat.translation = Vector((1, 2, 3))
self.assertEqual(mat[0][3], 1)
self.assertEqual(mat[1][3], 2)
self.assertEqual(mat[2][3], 3)
def test_non_square_mult(self):
mat1 = Matrix(((1, 2, 3),
(4, 5, 6)))
mat2 = Matrix(((1, 2),
(3, 4),
(5, 6)))
prod_mat1 = Matrix(((22, 28),
(49, 64)))
prod_mat2 = Matrix(((9, 12, 15),
(19, 26, 33),
(29, 40, 51)))
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self.assertEqual(mat1 * mat2, prod_mat1)
self.assertEqual(mat2 * mat1, prod_mat2)
def test_mat4x4_vec3D_mult(self):
mat = Matrix(((1, 0, 2, 0),
(0, 6, 0, 0),
(0, 0, 1, 1),
(0, 0, 0, 1)))
vec = Vector((1, 2, 3))
prod_mat_vec = Vector((7, 12, 4))
prod_vec_mat = Vector((1, 12, 5))
self.assertEqual(mat * vec, prod_mat_vec)
self.assertEqual(vec * mat, prod_vec_mat)
def test_mat_vec_mult(self):
mat1 = Matrix()
vec = Vector((1, 2))
self.assertRaises(ValueError, mat1.__mul__, vec)
self.assertRaises(ValueError, vec.__mul__, mat1)
mat2 = Matrix(((1, 2),
(-2, 3)))
prod = Vector((5, 4))
self.assertEqual(mat2 * vec, prod)
def test_matrix_inverse(self):
mat = Matrix(((1, 4, 0, -1),
(2, -1, 2, -2),
(0, 3, 8, 3),
(-2, 9, 1, 0)))
inv_mat = (1 / 285) * Matrix(((195, -57, 27, -102),
(50, -19, 4, 6),
(-60, 57, 18, 27),
(110, -133, 43, -78)))
self.assertEqual(mat.inverted(), inv_mat)
def test_matrix_mult(self):
mat = Matrix(((1, 4, 0, -1),
(2, -1, 2, -2),
(0, 3, 8, 3),
(-2, 9, 1, 0)))
prod_mat = Matrix(((11, -9, 7, -9),
(4, -3, 12, 6),
(0, 48, 73, 18),
(16, -14, 26, -13)))
self.assertEqual(mat * mat, prod_mat)
class VectorTesting(unittest.TestCase):
def test_orthogonal(self):
angle_90d = math.pi / 2.0
for v in vector_data:
v = Vector(v)
if v.length_squared != 0.0:
self.assertAlmostEqual(v.angle(v.orthogonal()), angle_90d)
class KDTreeTesting(unittest.TestCase):
@staticmethod
def kdtree_create_grid_3d(tot):
k = kdtree.KDTree(tot * tot * tot)
index = 0
mul = 1.0 / (tot - 1)
for x in range(tot):
for y in range(tot):
for z in range(tot):
k.insert((x * mul, y * mul, z * mul), index)
index += 1
k.balance()
return k
def test_kdtree_single(self):
co = (0,) * 3
index = 2
k = kdtree.KDTree(1)
k.insert(co, index)
k.balance()
co_found, index_found, dist_found = k.find(co)
self.assertEqual(tuple(co_found), co)
self.assertEqual(index_found, index)
self.assertEqual(dist_found, 0.0)
def test_kdtree_empty(self):
co = (0,) * 3
k = kdtree.KDTree(0)
k.balance()
co_found, index_found, dist_found = k.find(co)
self.assertIsNone(co_found)
self.assertIsNone(index_found)
self.assertIsNone(dist_found)
def test_kdtree_line(self):
tot = 10
k = kdtree.KDTree(tot)
for i in range(tot):
k.insert((i,) * 3, i)
k.balance()
co_found, index_found, dist_found = k.find((-1,) * 3)
self.assertEqual(tuple(co_found), (0,) * 3)
co_found, index_found, dist_found = k.find((tot,) * 3)
self.assertEqual(tuple(co_found), (tot - 1,) * 3)
def test_kdtree_grid(self):
size = 10
k = self.kdtree_create_grid_3d(size)
# find_range
ret = k.find_range((0.5,) * 3, 2.0)
self.assertEqual(len(ret), size * size * size)
ret = k.find_range((1.0,) * 3, 1.0 / size)
self.assertEqual(len(ret), 1)
ret = k.find_range((1.0,) * 3, 2.0 / size)
self.assertEqual(len(ret), 8)
ret = k.find_range((10,) * 3, 0.5)
self.assertEqual(len(ret), 0)
# find_n
tot = 0
ret = k.find_n((1.0,) * 3, tot)
self.assertEqual(len(ret), tot)
tot = 10
ret = k.find_n((1.0,) * 3, tot)
self.assertEqual(len(ret), tot)
self.assertEqual(ret[0][2], 0.0)
tot = size * size * size
ret = k.find_n((1.0,) * 3, tot)
self.assertEqual(len(ret), tot)
def test_kdtree_invalid_size(self):
with self.assertRaises(ValueError):
kdtree.KDTree(-1)
def test_kdtree_invalid_balance(self):
co = (0,) * 3
index = 2
k = kdtree.KDTree(2)
k.insert(co, index)
k.balance()
k.insert(co, index)
with self.assertRaises(RuntimeError):
k.find(co)
def test_main():
try:
support.run_unittest(MatrixTesting)
support.run_unittest(VectorTesting)
support.run_unittest(KDTreeTesting)
except:
import traceback
traceback.print_exc()
# alert CTest we failed
import sys
sys.exit(1)
if __name__ == '__main__':
test_main()