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
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
|
# SPDX-License-Identifier: Apache-2.0
# ./blender.bin --background -noaudio --python tests/python/bl_pyapi_prop_array.py -- --verbose
import bpy
from bpy.props import (
BoolVectorProperty,
FloatVectorProperty,
IntVectorProperty,
)
import unittest
import numpy as np
id_inst = bpy.context.scene
id_type = bpy.types.Scene
# -----------------------------------------------------------------------------
# Utility Functions
def seq_items_xform(data, xform_fn):
"""
Recursively expand items using `xform_fn`.
"""
if hasattr(data, "__len__"):
return tuple(seq_items_xform(v, xform_fn) for v in data)
return xform_fn(data)
def seq_items_as_tuple(data):
"""
Return nested sequences as a nested tuple.
Useful when comparing different kinds of nested sequences.
"""
return seq_items_xform(data, lambda v: v)
def seq_items_as_dims(data):
"""
Nested length calculation, extracting the length from each sequence.
Where a 4x4 matrix returns ``(4, 4)`` for example.
"""
return ((len(data),) + seq_items_as_dims(data[0])) if hasattr(data, "__len__") else ()
# -----------------------------------------------------------------------------
# Tests
class TestPropArray(unittest.TestCase):
def setUp(self):
id_type.test_array_f = FloatVectorProperty(size=10)
id_type.test_array_i = IntVectorProperty(size=10)
scene = bpy.context.scene
self.array_f = scene.test_array_f
self.array_i = scene.test_array_i
def tearDown(self):
del id_type.test_array_f
del id_type.test_array_i
def test_foreach_getset_i(self):
with self.assertRaises(TypeError):
self.array_i.foreach_set(range(5))
self.array_i.foreach_set(range(5, 15))
with self.assertRaises(TypeError):
self.array_i.foreach_set(np.arange(5, dtype=np.int32))
with self.assertRaises(TypeError):
self.array_i.foreach_set(np.arange(10, dtype=np.int64))
with self.assertRaises(TypeError):
self.array_i.foreach_get(np.arange(10, dtype=np.float32))
a = np.arange(10, dtype=np.int32)
self.array_i.foreach_set(a)
with self.assertRaises(TypeError):
self.array_i.foreach_set(a[:5])
for v1, v2 in zip(a, self.array_i[:]):
self.assertEqual(v1, v2)
b = np.empty(10, dtype=np.int32)
self.array_i.foreach_get(b)
for v1, v2 in zip(a, b):
self.assertEqual(v1, v2)
b = [None] * 10
self.array_f.foreach_get(b)
for v1, v2 in zip(a, b):
self.assertEqual(v1, v2)
def test_foreach_getset_f(self):
with self.assertRaises(TypeError):
self.array_i.foreach_set(range(5))
self.array_f.foreach_set(range(5, 15))
with self.assertRaises(TypeError):
self.array_f.foreach_set(np.arange(5, dtype=np.float32))
with self.assertRaises(TypeError):
self.array_f.foreach_set(np.arange(10, dtype=np.int32))
with self.assertRaises(TypeError):
self.array_f.foreach_get(np.arange(10, dtype=np.float64))
a = np.arange(10, dtype=np.float32)
self.array_f.foreach_set(a)
for v1, v2 in zip(a, self.array_f[:]):
self.assertEqual(v1, v2)
b = np.empty(10, dtype=np.float32)
self.array_f.foreach_get(b)
for v1, v2 in zip(a, b):
self.assertEqual(v1, v2)
b = [None] * 10
self.array_f.foreach_get(b)
for v1, v2 in zip(a, b):
self.assertEqual(v1, v2)
class TestPropArrayMultiDimensional(unittest.TestCase):
def setUp(self):
self._initial_dir = set(dir(id_type))
def tearDown(self):
for member in (set(dir(id_type)) - self._initial_dir):
delattr(id_type, member)
def test_defaults(self):
# The data is in int format, converted into float & bool to avoid duplication.
default_data = (
# 1D.
(1,),
(1, 2),
(1, 2, 3),
(1, 2, 3, 4),
# 2D.
((1,),),
((1,), (11,)),
((1, 2), (11, 22)),
((1, 2, 3), (11, 22, 33)),
((1, 2, 3, 4), (11, 22, 33, 44)),
# 3D.
(((1,),),),
((1,), (11,), (111,)),
((1, 2), (11, 22), (111, 222),),
((1, 2, 3), (11, 22, 33), (111, 222, 333)),
((1, 2, 3, 4), (11, 22, 33, 44), (111, 222, 333, 444)),
)
for data in default_data:
for (vector_prop_fn, xform_fn) in (
(BoolVectorProperty, lambda v: bool(v % 2)),
(FloatVectorProperty, lambda v: float(v)),
(IntVectorProperty, lambda v: v),
):
data_native = seq_items_xform(data, xform_fn)
size = seq_items_as_dims(data)
id_type.temp = vector_prop_fn(size=size, default=data_native)
data_as_tuple = seq_items_as_tuple(id_inst.temp)
self.assertEqual(data_as_tuple, data_native)
del id_type.temp
def test_matrix(self):
data = ((1, 2, 3, 4), (11, 22, 33, 44), (111, 222, 333, 444), (1111, 2222, 3333, 4444),)
data_native = seq_items_xform(data, lambda v: float(v))
id_type.temp = FloatVectorProperty(size=(4, 4), subtype='MATRIX', default=data_native)
data_as_tuple = seq_items_as_tuple(id_inst.temp)
self.assertEqual(data_as_tuple, data_native)
del id_type.temp
def test_matrix_with_callbacks(self):
# """
# Internally matrices have rows/columns swapped,
# This test ensures this is being done properly.
# """
data = ((1, 2, 3, 4), (11, 22, 33, 44), (111, 222, 333, 444), (1111, 2222, 3333, 4444),)
data_native = seq_items_xform(data, lambda v: float(v))
local_data = {"array": data}
def get_fn(id_arg):
return local_data["array"]
def set_fn(id_arg, value):
local_data["array"] = value
id_type.temp = FloatVectorProperty(size=(4, 4), subtype='MATRIX', get=get_fn, set=set_fn)
id_inst.temp = data_native
data_as_tuple = seq_items_as_tuple(id_inst.temp)
self.assertEqual(data_as_tuple, data_native)
del id_type.temp
if __name__ == '__main__':
import sys
sys.argv = [__file__] + (sys.argv[sys.argv.index("--") + 1:] if "--" in sys.argv else [])
unittest.main()
|
