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# Copyright (c) 2019 Ultimaker B.V.
# Uranium is released under the terms of the LGPLv3 or higher.
import unittest
import numpy
import pytest
from UM.Math.Matrix import Matrix
from UM.Math.Vector import Vector
import copy
class TestMatrix(unittest.TestCase):
def setUp(self):
# Called before the first testfunction is executed
pass
def tearDown(self):
# Called after the last testfunction was executed
pass
def test_setByQuaternion(self):
pass
def test_multiply(self):
temp_matrix = Matrix()
temp_matrix.setByTranslation(Vector(10,10,10))
temp_matrix2 = Matrix()
temp_matrix2.setByScaleFactor(0.5)
temp_matrix.multiply(temp_matrix2)
numpy.testing.assert_array_almost_equal(temp_matrix.getData(), numpy.array([[0.5,0,0,10],[0,0.5,0,10],[0,0,0.5,10],[0,0,0,1]]))
def test_multiplyCopy(self):
temp_matrix = Matrix()
temp_matrix.setByTranslation(Vector(10, 10, 10))
temp_matrix2 = Matrix()
temp_matrix2.setByScaleFactor(0.5)
result = temp_matrix.multiply(temp_matrix2, copy=True)
assert temp_matrix != result
numpy.testing.assert_array_almost_equal(result.getData(), numpy.array([[0.5, 0, 0, 10], [0, 0.5, 0, 10], [0, 0, 0.5, 10], [0, 0, 0, 1]]))
def test_preMultiply(self):
temp_matrix = Matrix()
temp_matrix.setByTranslation(Vector(10,10,10))
temp_matrix2 = Matrix()
temp_matrix2.setByScaleFactor(0.5)
temp_matrix.preMultiply(temp_matrix2)
numpy.testing.assert_array_almost_equal(temp_matrix.getData(), numpy.array([[0.5,0,0,5],[0,0.5,0,5],[0,0,0.5,5],[0,0,0,1]]))
def test_preMultiplyCopy(self):
temp_matrix = Matrix()
temp_matrix.setByTranslation(Vector(10,10,10))
temp_matrix2 = Matrix()
temp_matrix2.setByScaleFactor(0.5)
result = temp_matrix.preMultiply(temp_matrix2, copy = True)
assert result != temp_matrix
numpy.testing.assert_array_almost_equal(result.getData(), numpy.array([[0.5,0,0,5],[0,0.5,0,5],[0,0,0.5,5],[0,0,0,1]]))
def test_setByScaleFactor(self):
matrix = Matrix()
matrix.setByScaleFactor(0.5)
numpy.testing.assert_array_almost_equal(matrix.getData(), numpy.array([[0.5,0,0,0],[0,0.5,0,0],[0,0,0.5,0],[0,0,0,1]]))
assert matrix.getScale() == Vector(0.5, 0.5, 0.5)
def test_scaleByFactor(self):
matrix = Matrix()
matrix.scaleByFactor(2)
assert matrix.getScale() == Vector(2, 2, 2)
def test_setByRotation(self):
pass
def test_setByTranslation(self):
matrix = Matrix()
matrix.setByTranslation(Vector(0,1,0))
numpy.testing.assert_array_almost_equal(matrix.getData(), numpy.array([[1,0,0,0],[0,1,0,1],[0,0,1,0],[0,0,0,1]]))
def test_deepcopy(self):
matrix = Matrix()
# Set some data
matrix.setRow(1, [1, 2, 3])
matrix.setColumn(2, [3, 4, 5])
copied_matrix = copy.deepcopy(matrix)
assert copied_matrix == matrix
def test_compare(self):
matrix = Matrix()
matrix2 = Matrix()
assert matrix == matrix
assert not matrix == "zomg"
matrix._data = None
matrix2._data = None
assert matrix == matrix2
def test_translate(self):
matrix = Matrix()
matrix.translate(Vector(1, 1, 1))
assert matrix.getTranslation() == Vector(1, 1, 1)
matrix.translate(Vector(2, 3, 4))
assert matrix.getTranslation() == Vector(3, 4, 5)
def test_setToIdentity(self):
pass
def test_getData(self):
pass
def test_transposed(self):
temp_matrix = Matrix()
temp_matrix.setByTranslation(Vector(10,10,10))
temp_matrix = temp_matrix.getTransposed()
numpy.testing.assert_array_almost_equal(temp_matrix.getData(), numpy.array([[1,0,0,0],[0,1,0,0],[0,0,1,0],[10,10,10,1]]))
def test_dot(self):
pass
def test_invalidAt(self):
matrix = Matrix()
with pytest.raises(IndexError):
matrix.at(12, 13)
def test_invalidSetRow(self):
matrix = Matrix()
with pytest.raises(IndexError):
matrix.setRow(12, [1., 2., 3.])
matrix.setRow(-1, [2., 3., 4.])
def test_invalidSetColumn(self):
matrix = Matrix()
with pytest.raises(IndexError):
matrix.setColumn(12, [1., 2., 3.])
matrix.setColumn(-1, [2., 3., 4.])
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