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
202
203
204
205
206
207
208
209
210
211
|
"""Tests for the ArraySource data source for MayaVi.
"""
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005, Enthought, Inc.
# License: BSD Style.
# Standard library imports.
from os.path import abspath
from io import BytesIO
import copy
import numpy
# Enthought library imports.
from traits.api import TraitError
# Local imports.
from common import TestCase
class TestArraySource(TestCase):
def check_input_validation(self, obj):
"""Tests if only the correct forms of input arrays are supported."""
# These should work.
obj.scalar_data = numpy.zeros((2,2), 'd')
obj.scalar_data = numpy.zeros((2,2,2), 'd')
obj.scalar_data = None
obj.vector_data = numpy.zeros((2,2,3), 'd')
obj.vector_data = numpy.zeros((2,2,2,3), 'd')
obj.vector_data = None
# These should not.
self.assertRaises(TraitError, setattr, obj, 'scalar_data', [1,2,3])
self.assertRaises(TraitError, setattr, obj, 'scalar_data',
numpy.zeros((2,2,2,3), 'd'))
obj.scalar_data = None
self.assertRaises(TraitError, setattr, obj, 'vector_data', [[1,2,3]])
self.assertRaises(TraitError, setattr, obj, 'vector_data',
numpy.zeros((2,2,2,1), 'd'))
obj.vector_data = None
obj.scalar_data = numpy.zeros((2,2), 'd')
self.assertRaises(TraitError, setattr, obj, 'vector_data',
numpy.zeros((4,4,3), 'd'))
obj.vector_data = numpy.zeros((2,2,3), 'd')
self.assertRaises(TraitError, setattr, obj, 'scalar_data',
numpy.zeros((4,3), 'i'))
self.assertRaises(TraitError, setattr, obj, 'scalar_data',
numpy.zeros((2,2,2), 'i'))
obj.scalar_data = numpy.zeros((2,2), 'f')
# Clean up the object so it can be used for further testing.
obj.scalar_data = obj.vector_data = None
def make_2d_data(self):
s = numpy.array([[0, 1],[2, 3]], 'd')
v = numpy.array([[[1,1,1], [1,0,0]],[[0,1,0], [0,0,1]]], 'd')
tps = numpy.transpose
s, v = tps(s), tps(v, (1, 0, 2))
return s, v
def make_3d_data(self):
s = numpy.array([[[0, 1],[2, 3]],
[[4, 5],[6, 7]]], 'd')
v = numpy.array([[[[0,0,0],
[1,0,0]],
[[0,1,0],
[1,1,0]]],
[[[0,0,1],
[1,0,1]],
[[0,1,1],
[1,1,1]]]], 'd')
tps = numpy.transpose
s, v = tps(s), tps(v, (2, 1, 0, 3))
return s, v
def check(self):
script = self.script
s = script.engine.current_scene
d1, d2 = s.children
s1, v1 = d1.children[0].children[1:]
expect = list(self.make_2d_data())
tps = numpy.transpose
expect[0] = tps(expect[0])
expect[1] = tps(expect[1], (1, 0, 2))
sc1 = s1.actor.mapper.input.point_data.scalars.to_array()
assert numpy.allclose(sc1.flatten(), expect[0].flatten())
vec1 = s1.actor.mapper.input.point_data.vectors.to_array()
assert numpy.allclose(vec1.flatten(), expect[1].flatten())
s2, v2 = d2.children[0].children[1:]
expect = list(self.make_3d_data())
tps = numpy.transpose
expect[0] = tps(expect[0])
expect[1] = tps(expect[1], (2, 1, 0, 3))
sc2 = s2.actor.mapper.input.point_data.scalars.to_array()
assert numpy.allclose(sc2.flatten(), expect[0].flatten())
vec2 = s2.actor.mapper.input.point_data.vectors.to_array()
assert numpy.allclose(vec2.flatten(), expect[1].flatten())
def test(self):
self.main()
def do(self):
############################################################
# Imports.
script = self.script
from mayavi.sources.array_source import ArraySource
from mayavi.modules.outline import Outline
from mayavi.modules.surface import Surface
from mayavi.modules.vectors import Vectors
############################################################
# Create a new scene and set up the visualization.
s = self.new_scene()
d = ArraySource()
self.check_input_validation(d)
sc, vec = self.make_2d_data()
d.origin = (-1, -1, 0)
d.scalar_data = sc
d.vector_data = vec
script.add_source(d)
# Create an outline for the data.
o = Outline()
script.add_module(o)
# View the data.
s = Surface()
script.add_module(s)
v = Vectors()
script.add_module(v)
# Add a 3D data source
d = ArraySource()
sc, vec = self.make_3d_data()
d.scalar_data = sc
d.vector_data = vec
script.add_source(d)
# Create an outline for the data.
o = Outline()
script.add_module(o)
# View a slice.
s = Surface()
script.add_module(s)
v = Vectors()
script.add_module(v)
# Set the scene to a suitable view.
s.scene.z_plus_view()
c = s.scene.camera
c.azimuth(-30)
c.elevation(30)
self.check()
############################################################
# Test if saving a visualization and restoring it works.
bg = s.scene.background
# Save visualization.
f = BytesIO()
f.name = abspath('test.mv2') # We simulate a file.
script.save_visualization(f)
f.seek(0) # So we can read this saved data.
# Remove existing scene.
engine = script.engine
engine.close_scene(s)
# Load visualization
script.load_visualization(f)
s = engine.current_scene
# Set the scene to a suitable view.
s.scene.z_plus_view()
c = s.scene.camera
c.azimuth(-30)
c.elevation(30)
s.scene.background = bg
self.check()
############################################################
# Test if the MayaVi2 visualization can be deepcopied.
# Pop the source object.
sources = s.children
s.children = []
# Add it back to see if that works without error.
s.children.extend(sources)
s.scene.reset_zoom()
self.check()
# Now deepcopy the source and replace the existing one with
# the copy. This basically simulates cutting/copying the
# object from the UI via the right-click menu on the tree
# view, and pasting the copy back.
sources1 = copy.deepcopy(sources)
s.children[:] = sources
s.scene.reset_zoom()
self.check()
# If we have come this far, we are golden!
if __name__ == "__main__":
t = TestArraySource()
t.test()
|
