1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
|
# /*##########################################################################
#
# Copyright (c) 2015-2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
__authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "05/01/2017"
import numpy
import unittest
from silx.gui.plot3d.scene import transform
class TestTransformList(unittest.TestCase):
def assertSameArrays(self, a, b):
return self.assertTrue(numpy.allclose(a, b, atol=1e-06))
def testTransformList(self):
"""Minimalistic test of TransformList"""
transforms = transform.TransformList()
refmatrix = numpy.identity(4, dtype=numpy.float32)
self.assertSameArrays(refmatrix, transforms.matrix)
# Append translate
transforms.append(transform.Translate(1.0, 1.0, 1.0))
refmatrix = numpy.array(
(
(1.0, 0.0, 0.0, 1.0),
(0.0, 1.0, 0.0, 1.0),
(0.0, 0.0, 1.0, 1.0),
(0.0, 0.0, 0.0, 1.0),
),
dtype=numpy.float32,
)
self.assertSameArrays(refmatrix, transforms.matrix)
# Extend scale
transforms.extend([transform.Scale(0.1, 2.0, 1.0)])
refmatrix = numpy.dot(
refmatrix,
numpy.array(
(
(0.1, 0.0, 0.0, 0.0),
(0.0, 2.0, 0.0, 0.0),
(0.0, 0.0, 1.0, 0.0),
(0.0, 0.0, 0.0, 1.0),
),
dtype=numpy.float32,
),
)
self.assertSameArrays(refmatrix, transforms.matrix)
# Insert rotate
transforms.insert(0, transform.Rotate(360.0))
self.assertSameArrays(refmatrix, transforms.matrix)
# Update translate and check for listener called
self._callCount = 0
def listener(source):
self._callCount += 1
transforms.addListener(listener)
transforms[1].tx += 1
self.assertEqual(self._callCount, 1)
|
