build123d/tests/test_direct_api/test_matrix.py

197 lines
6.1 KiB
Python

"""
build123d direct api tests
name: test_matrix.py
by: Gumyr
date: January 21, 2025
desc:
This python module contains tests for the build123d project.
license:
Copyright 2025 Gumyr
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import copy
import math
import unittest
from OCP.gp import gp_Ax1, gp_Dir, gp_Pnt, gp_Trsf
from build123d.geometry import Axis, Matrix, Vector
from tests.base_test import DirectApiTestCase, DEG2RAD
class TestMatrix(DirectApiTestCase):
def test_matrix_creation_and_access(self):
def matrix_vals(m):
return [[m[r, c] for c in range(4)] for r in range(4)]
# default constructor creates a 4x4 identity matrix
m = Matrix()
identity = [
[1.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 0.0],
[0.0, 0.0, 0.0, 1.0],
]
self.assertEqual(identity, matrix_vals(m))
vals4x4 = [
[1.0, 0.0, 0.0, 1.0],
[0.0, 1.0, 0.0, 2.0],
[0.0, 0.0, 1.0, 3.0],
[0.0, 0.0, 0.0, 1.0],
]
vals4x4_tuple = tuple(tuple(r) for r in vals4x4)
# test constructor with 16-value input
m = Matrix(vals4x4)
self.assertEqual(vals4x4, matrix_vals(m))
m = Matrix(vals4x4_tuple)
self.assertEqual(vals4x4, matrix_vals(m))
# test constructor with 12-value input (the last 4 are an implied
# [0,0,0,1])
m = Matrix(vals4x4[:3])
self.assertEqual(vals4x4, matrix_vals(m))
m = Matrix(vals4x4_tuple[:3])
self.assertEqual(vals4x4, matrix_vals(m))
# Test 16-value input with invalid values for the last 4
invalid = [
[1.0, 0.0, 0.0, 1.0],
[0.0, 1.0, 0.0, 2.0],
[0.0, 0.0, 1.0, 3.0],
[1.0, 2.0, 3.0, 4.0],
]
with self.assertRaises(ValueError):
Matrix(invalid)
# Test input with invalid type
with self.assertRaises(TypeError):
Matrix("invalid")
# Test input with invalid size / nested types
with self.assertRaises(TypeError):
Matrix([[1, 2, 3, 4], [1, 2, 3], [1, 2, 3, 4]])
with self.assertRaises(TypeError):
Matrix([1, 2, 3])
# Invalid sub-type
with self.assertRaises(TypeError):
Matrix([[1, 2, 3, 4], "abc", [1, 2, 3, 4]])
# test out-of-bounds access
m = Matrix()
with self.assertRaises(IndexError):
m[0, 4]
with self.assertRaises(IndexError):
m[4, 0]
with self.assertRaises(IndexError):
m["ab"]
# test __repr__ methods
m = Matrix(vals4x4)
mRepr = "Matrix([[1.0, 0.0, 0.0, 1.0],\n [0.0, 1.0, 0.0, 2.0],\n [0.0, 0.0, 1.0, 3.0],\n [0.0, 0.0, 0.0, 1.0]])"
self.assertEqual(repr(m), mRepr)
self.assertEqual(str(eval(repr(m))), mRepr)
def test_matrix_functionality(self):
# Test rotate methods
def matrix_almost_equal(m, target_matrix):
for r, row in enumerate(target_matrix):
for c, target_value in enumerate(row):
self.assertAlmostEqual(m[r, c], target_value)
root_3_over_2 = math.sqrt(3) / 2
m_rotate_x_30 = [
[1, 0, 0, 0],
[0, root_3_over_2, -1 / 2, 0],
[0, 1 / 2, root_3_over_2, 0],
[0, 0, 0, 1],
]
mx = Matrix()
mx.rotate(Axis.X, 30 * DEG2RAD)
matrix_almost_equal(mx, m_rotate_x_30)
m_rotate_y_30 = [
[root_3_over_2, 0, 1 / 2, 0],
[0, 1, 0, 0],
[-1 / 2, 0, root_3_over_2, 0],
[0, 0, 0, 1],
]
my = Matrix()
my.rotate(Axis.Y, 30 * DEG2RAD)
matrix_almost_equal(my, m_rotate_y_30)
m_rotate_z_30 = [
[root_3_over_2, -1 / 2, 0, 0],
[1 / 2, root_3_over_2, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1],
]
mz = Matrix()
mz.rotate(Axis.Z, 30 * DEG2RAD)
matrix_almost_equal(mz, m_rotate_z_30)
# Test matrix multiply vector
v = Vector(1, 0, 0)
self.assertVectorAlmostEquals(mz.multiply(v), (root_3_over_2, 1 / 2, 0), 7)
# Test matrix multiply matrix
m_rotate_xy_30 = [
[root_3_over_2, 0, 1 / 2, 0],
[1 / 4, root_3_over_2, -root_3_over_2 / 2, 0],
[-root_3_over_2 / 2, 1 / 2, 3 / 4, 0],
[0, 0, 0, 1],
]
mxy = mx.multiply(my)
matrix_almost_equal(mxy, m_rotate_xy_30)
# Test matrix inverse
vals4x4 = [[1, 2, 3, 4], [5, 1, 6, 7], [8, 9, 1, 10], [0, 0, 0, 1]]
vals4x4_invert = [
[-53 / 144, 25 / 144, 1 / 16, -53 / 144],
[43 / 144, -23 / 144, 1 / 16, -101 / 144],
[37 / 144, 7 / 144, -1 / 16, -107 / 144],
[0, 0, 0, 1],
]
m = Matrix(vals4x4).inverse()
matrix_almost_equal(m, vals4x4_invert)
# Test matrix created from transfer function
rot_x = gp_Trsf()
θ = math.pi
rot_x.SetRotation(gp_Ax1(gp_Pnt(0, 0, 0), gp_Dir(1, 0, 0)), θ)
m = Matrix(rot_x)
rot_x_matrix = [
[1, 0, 0, 0],
[0, math.cos(θ), -math.sin(θ), 0],
[0, math.sin(θ), math.cos(θ), 0],
[0, 0, 0, 1],
]
matrix_almost_equal(m, rot_x_matrix)
# Test copy
m2 = copy.copy(m)
matrix_almost_equal(m2, rot_x_matrix)
m3 = copy.deepcopy(m)
matrix_almost_equal(m3, rot_x_matrix)
if __name__ == "__main__":
import unittest
unittest.main()