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"""
Tests for the ArraySource class.
"""
# Author: Prabhu Ramachandran <prabhu@aero.iitb.ac.in>
# Copyright (c) 2008, Prabhu Ramachandran Enthought, Inc.
# License: BSD Style.
import unittest
import pickle
import numpy
# Enthought library imports.
from traits.api import TraitError
from mayavi.sources.array_source import ArraySource
from mayavi.modules.outline import Outline
from mayavi.modules.surface import Surface
class TestArraySource(unittest.TestCase):
def setUp(self):
d = ArraySource()
self.data = d
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 test_input_validation(self):
"""Tests if only the correct forms of input arrays are supported."""
obj = self.data
# 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 test_2d_data(self):
"""Generic tests for 2D data arrays."""
d = self.data
sc, vec = self.make_2d_data()
d.origin = (-1, -1, 0)
d.scalar_data = sc
d.vector_data = vec
d.start() # Start the object so it flushes the pipeline etc.
# Create an outline for the data.
o = Outline()
d.add_child(o)
o.start()
self.assertEqual(tuple(o.actor.actor.bounds),
(-1., 0., -1., 0., 0., 0.))
# Create a surface module.
surf = Surface()
d.add_child(surf)
self.assertEqual(surf.running, True)
tps = numpy.transpose
expect = [tps(sc), tps(vec, (1, 0, 2))]
sc1 = surf.actor.mapper.input.point_data.scalars.to_array()
self.assertEqual(numpy.allclose(sc1.flatten(),
expect[0].flatten()), True)
vec1 = surf.actor.mapper.input.point_data.vectors.to_array()
self.assertEqual(numpy.allclose(vec1.flatten(),
expect[1].flatten()), True)
def test_3d_data(self):
"Test for 3D data arrays."
# Add a 3D data source
d = self.data
sc, vec = self.make_3d_data()
d.scalar_data = sc
d.vector_data = vec
d.start() # Start the object so it flushes the pipeline etc.
# Create an outline for the data.
o = Outline()
d.add_child(o)
o.start()
self.assertEqual(tuple(o.actor.actor.bounds),
(0, 1., 0., 1., 0., 1.))
# Create a surface module.
surf = Surface()
d.add_child(surf)
self.assertEqual(surf.running, True)
tps = numpy.transpose
expect = [tps(sc), tps(vec, (2, 1, 0, 3))]
sc2 = surf.actor.mapper.input.point_data.scalars.to_array()
self.assertEqual(numpy.allclose(sc2.flatten(),
expect[0].flatten()), True)
vec2 = surf.actor.mapper.input.point_data.vectors.to_array()
self.assertEqual(numpy.allclose(vec2.flatten(),
expect[1].flatten()), True)
def test_pickle(self):
"Test if pickling works."
# Test if saving a visualization and restoring it works.
d = self.data
sc, vec = self.make_3d_data()
d.scalar_data = sc
d.vector_data = vec
d.spacing = [1, 2, 3]
d.origin = [4, 5, 6]
d.start() # Start the object so it flushes the pipeline etc.
# Create an outline for the data.
o = Outline()
d.add_child(o)
o.start()
# Create a surface module.
surf = Surface()
d.add_child(surf)
data = pickle.dumps(d)
del d, surf, o
d = pickle.loads(data)
# We must explicitly start the object.
d.start()
mm = d.children[0]
o, surf = mm.children
# Test the unpciked state.
self.assertEqual(tuple(o.actor.actor.bounds),
(4., 5., 5., 7., 6., 9.))
self.assertEqual(surf.running, True)
self.assertEqual(o.running, True)
self.assertEqual(d.running, True)
self.assertEqual(numpy.allclose(d.spacing, [1, 2, 3]), True)
self.assertEqual(numpy.allclose(d.origin, [4, 5, 6]), True)
tps = numpy.transpose
expect = [tps(sc), tps(vec, (2, 1, 0, 3))]
sc2 = surf.actor.mapper.input.point_data.scalars.to_array()
self.assertEqual(numpy.allclose(sc2.flatten(),
expect[0].flatten()), True)
vec2 = surf.actor.mapper.input.point_data.vectors.to_array()
self.assertEqual(numpy.allclose(vec2.flatten(),
expect[1].flatten()), True)
class TestArraySourceAttributes(unittest.TestCase):
def setUp(self):
s1 = numpy.ones((2, 2))
src = ArraySource(scalar_data=s1, scalar_name='s1')
self.src = src
def test_add_attribute_works_for_point_data(self):
# Given
src = self.src
s1 = src.scalar_data
# When
s2 = s1.ravel() + 1.0
src.add_attribute(s2, 's2')
v1 = numpy.ones((4, 3))
src.add_attribute(v1, 'v1')
t1 = numpy.ones((4, 9))
src.add_attribute(t1, 't1')
# Then
self.assertTrue(
numpy.allclose(
src.image_data.point_data.get_array('s2').to_array(), s2
)
)
self.assertTrue(
numpy.allclose(
src.image_data.point_data.get_array('v1').to_array(), v1
)
)
self.assertTrue(
numpy.allclose(
src.image_data.point_data.get_array('t1').to_array(), t1)
)
def test_add_attribute_works_for_cell_data(self):
# Given
src = self.src
s1 = src.scalar_data
# When
s2 = s1.ravel() + 1.0
src.add_attribute(s2, 's2', category='cell')
v1 = numpy.ones((4, 3))
src.add_attribute(v1, 'v1', category='cell')
t1 = numpy.ones((4, 9))
src.add_attribute(t1, 't1', category='cell')
# Then
self.assertTrue(
numpy.allclose(
src.image_data.cell_data.get_array('s2').to_array(), s2
)
)
self.assertTrue(
numpy.allclose(
src.image_data.cell_data.get_array('v1').to_array(), v1
)
)
self.assertTrue(
numpy.allclose(
src.image_data.cell_data.get_array('t1').to_array(), t1
)
)
def test_add_attribute_raises_errors(self):
# Given
src = self.src
# When/Then
data = numpy.ones((4, 3, 3))
self.assertRaises(AssertionError, src.add_attribute, data, 's2')
data = numpy.ones((4, 5))
self.assertRaises(AssertionError, src.add_attribute, data, 's2')
def test_remove_attribute(self):
# Given
src = self.src
s1 = src.scalar_data
# When
s2 = s1.ravel() + 1.0
src.add_attribute(s2, 's2')
src.remove_attribute('s2')
# Then
self.assertEqual(src.image_data.point_data.get_array('s2'), None)
self.assertTrue(
numpy.allclose(
src.image_data.point_data.get_array('s1').to_array(),
s1.ravel()
)
)
def test_rename_attribute(self):
# Given
src = self.src
s1 = src.scalar_data
s2 = s1.ravel() + 1.0
src.add_attribute(s2, 's2')
# When
src.rename_attribute('s2', 's3')
# Then
self.assertTrue(
numpy.all(src.image_data.point_data.get_array('s3') == s2)
)
self.assertEqual(src.image_data.point_data.get_array('s2'), None)
if __name__ == '__main__':
unittest.main()
|
