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"""Simple test for the Optional and Collection filters.
"""
# Author: Prabhu Ramachandran <prabhu [at] aero . iitb . ac . in>
# Copyright (c) 2008, Prabhu Ramachandran
# License: BSD Style.
# Standard library imports.
from os.path import abspath
from io import BytesIO
import copy
# Local imports.
from common import TestCase, get_example_data
class TestOptionalCollection(TestCase):
def test(self):
self.main()
def do(self):
############################################################
# Imports.
script = self.script
from mayavi.sources.vtk_file_reader import VTKFileReader
from mayavi.filters.contour import Contour
from mayavi.filters.optional import Optional
from mayavi.filters.collection import Collection
from mayavi.filters.api import PolyDataNormals
from mayavi.modules.api import Surface
############################################################
# Create a new scene and set up the visualization.
s = self.new_scene()
# Read a VTK (old style) data file.
r = VTKFileReader()
r.initialize(get_example_data('heart.vtk'))
script.add_source(r)
c = Contour()
# `name` is used for the notebook tabs.
n = PolyDataNormals(name='Normals')
o = Optional(filter=n, label_text='Compute normals')
coll = Collection(filters=[c, o], name='IsoSurface')
script.add_filter(coll)
s = Surface()
script.add_module(s)
########################################
# do the testing.
def check(coll):
"""Check if test status is OK given the collection."""
c, o = coll.filters
c = c.filter
n = o.filter
assert coll.get_output_dataset().point_data.scalars.range == (127.5, 127.5)
# Adding a contour should create the appropriate output in
# the collection.
c.contours.append(200)
assert coll.get_output_dataset().point_data.scalars.range == (127.5, 200.0)
# the collection's output should be that of the normals.
assert coll.get_output_dataset() is n.get_output_dataset()
# disable the optional filter and check.
o.enabled = False
assert 'disabled' in o.name
assert coll.get_output_dataset() is c.get_output_dataset()
# Set back everything to original state.
c.contours.pop()
o.enabled = True
assert coll.get_output_dataset().point_data.scalars.range == (127.5, 127.5)
assert coll.get_output_dataset() is n.get_output_dataset()
assert 'disabled' not in o.name
check(coll)
############################################################
# Test if saving a visualization and restoring it works.
# 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
# Now do the check.
coll = s.children[0].children[0]
check(coll)
############################################################
# Test if the Mayavi2 visualization can be deep-copied.
# Pop the source object.
source = s.children.pop()
# Add it back to see if that works without error.
s.children.append(source)
# Now do the check.
coll = s.children[0].children[0]
check(coll)
# 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.
source1 = copy.deepcopy(source)
s.children[0] = source1
# Now do the check.
coll = s.children[0].children[0]
check(coll)
# If we have come this far, we are golden!
if __name__ == "__main__":
t = TestOptionalCollection()
t.test()
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