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# This file is part of Tulip (https://tulip.labri.fr)
#
# Authors: David Auber and the Tulip development Team
# from LaBRI, University of Bordeaux
#
# Tulip is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation, either version 3
# of the License, or (at your option) any later version.
#
# Tulip is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# See the GNU General Public License for more details.
import random
import os
import string
import sys
import unittest
from tulip import tlp
int_max = 32767
flt_max = 3.40282347e+38
def rand_int():
return random.randint(-int_max, int_max)
def rand_float():
return random.uniform(0, sys.float_info.max)
def rand_c_float():
return random.uniform(0, flt_max)
def random_color():
r = random.randint(0, 255)
g = random.randint(0, 255)
b = random.randint(0, 255)
a = random.randint(0, 255)
return tlp.Color(r, g, b, a)
def random_color_tuple():
r = random.randint(0, 255)
g = random.randint(0, 255)
b = random.randint(0, 255)
a = random.randint(0, 255)
return (r, g, b, a)
def random_coord():
return tlp.Coord(rand_c_float(), rand_c_float(), rand_c_float())
def random_coord_tuple():
return (rand_c_float(), rand_c_float(), rand_c_float())
def random_coord_tuple_int():
return (rand_int(), rand_int(), rand_int())
def random_size():
return tlp.Size(rand_c_float(), rand_c_float(), rand_c_float())
def random_string():
return ''.join([random.choice(string.ascii_letters + string.digits)
for _ in range(32)])
max_list_size = 30
def random_boolean_list(val=False):
size = random.randint(max_list_size, max_list_size*2)
return [val for i in range(size)]
def random_color_list():
size = random.randint(1, max_list_size)
return [random_color() for i in range(size)]
def random_color_tuple_list():
size = random.randint(1, max_list_size)
return [random_color_tuple() for i in range(size)]
def random_coord_list():
size = random.randint(1, max_list_size)
return [random_coord() for i in range(size)]
def random_coord_tuple_list():
size = random.randint(1, max_list_size)
return [random_coord_tuple() for i in range(size)]
def random_coord_tuple_int_list():
size = random.randint(1, max_list_size)
return [random_coord_tuple_int() for i in range(size)]
def random_double_list():
size = random.randint(1, max_list_size)
return [rand_float() for i in range(size)]
def random_int_list():
size = random.randint(1, max_list_size)
return [rand_int() for i in range(size)]
def random_size_list():
size = random.randint(1, max_list_size)
return [random_size() for i in range(size)]
def random_string_list():
size = random.randint(1, max_list_size)
return [random_string() for i in range(size)]
class TestGraphProperties(unittest.TestCase):
def setUp(self):
tlp.loadTulipPluginsFromDir(
os.environ['TULIP_BUILD_DIR'] + '/plugins/import')
self.prop_name = 'test_prop'
self.prop = None
self.graph = tlp.importGraph('Grid')
self.n = self.graph.getRandomNode()
self.e = self.graph.getRandomEdge()
sg_nodes = [tlp.node(i) for i in range(self.graph.numberOfNodes()//2)]
self.sub_graph = self.graph.inducedSubGraph(sg_nodes)
def tearDown(self):
if self.graph.existProperty(self.prop_name):
self.graph.delLocalProperty(self.prop_name)
self.prop = None
self.graph = None
self.n = None
self.e = None
def generic_property_test(self, prop_type, node_default_value,
edge_default_value, node_value, edge_value,
check_type_inference=True):
# test some basic operations on property
self.assertTrue(self.graph.existProperty(self.prop_name))
self.assertTrue(
isinstance(self.graph.getProperty(self.prop_name), prop_type))
self.prop.setAllNodeValue(node_default_value)
self.assertEqual(
self.prop[self.graph.getRandomNode()], node_default_value)
self.prop[self.n] = node_value
self.prop[self.e] = edge_value
self.assertEqual(self.prop[self.n], node_value)
self.assertEqual(self.prop[self.e], edge_value)
nodes_equal = list(self.prop.getNodesEqualTo(node_value))
edges_equal = list(self.prop.getEdgesEqualTo(edge_value))
self.assertEqual(len(nodes_equal), 1)
self.assertEqual(len(edges_equal), 1)
self.assertEqual(nodes_equal[0], self.n)
self.assertEqual(edges_equal[0], self.e)
self.prop.setAllNodeValue(node_default_value)
self.prop.setValueToGraphNodes(node_value, self.sub_graph)
for n in self.graph.getNodes():
if self.sub_graph.isElement(n):
self.assertEqual(self.prop[n], node_value)
else:
self.assertEqual(self.prop[n], node_default_value)
self.prop.setAllEdgeValue(edge_default_value)
self.prop.setValueToGraphEdges(edge_value, self.sub_graph)
for e in self.graph.getEdges():
if self.sub_graph.isElement(e):
self.assertEqual(self.prop[e], edge_value)
else:
self.assertEqual(self.prop[e], edge_default_value)
# ensure that an exception is correctly thrown when the property is
# deleted from the C++ layer but there is still a reference to it
# in the Python one
self.graph.delLocalProperty(self.prop_name)
self.assertFalse(self.graph.existProperty(self.prop_name))
with self.assertRaisesRegex(
RuntimeError, 'wrapped C/C\\+\\+ object .* has been deleted'):
self.prop.setAllEdgeValue(edge_default_value)
if not check_type_inference:
return
# test that the property can be automatically created by type inference
self.graph[self.prop_name][self.graph.getRandomNode()] = node_value
self.prop = self.graph[self.prop_name]
self.assertTrue(
isinstance(self.graph.getProperty(self.prop_name), prop_type))
self.assertTrue(self.graph.existProperty(self.prop_name))
def test_boolean_property(self):
self.prop = self.graph.getBooleanProperty(self.prop_name)
self.generic_property_test(
tlp.BooleanProperty, True, False, False, True)
def test_color_property(self):
self.prop = self.graph.getColorProperty(self.prop_name)
self.generic_property_test(
tlp.ColorProperty, random_color(), random_color(), random_color(),
random_color())
def test_color_property_tuple(self):
self.prop = self.graph.getColorProperty(self.prop_name)
self.generic_property_test(
tlp.ColorProperty, random_color_tuple(), random_color_tuple(),
random_color_tuple(), random_color_tuple())
def test_double_property(self):
self.prop = self.graph.getDoubleProperty(self.prop_name)
self.generic_property_test(
tlp.DoubleProperty, rand_float(), rand_float(), rand_float(),
rand_float())
def test_integer_property(self):
self.prop = self.graph.getIntegerProperty(self.prop_name)
self.generic_property_test(
tlp.IntegerProperty, rand_int(), rand_int(), rand_int(),
rand_int())
def test_layout_property(self):
self.prop = self.graph.getLayoutProperty(self.prop_name)
self.generic_property_test(
tlp.LayoutProperty, random_coord(), random_coord_list(),
random_coord(), random_coord_list())
def test_layout_property_tuple(self):
self.prop = self.graph.getLayoutProperty(self.prop_name)
self.generic_property_test(
tlp.LayoutProperty, random_coord_tuple(),
random_coord_tuple_list(), random_coord_tuple(),
random_coord_tuple_list())
def test_layout_property_tuple_int(self):
self.prop = self.graph.getLayoutProperty(self.prop_name)
self.generic_property_test(
tlp.LayoutProperty, random_coord_tuple_int(),
random_coord_tuple_list(), random_coord_tuple_int(),
random_coord_tuple_list(), check_type_inference=False)
def test_size_property(self):
self.prop = self.graph.getSizeProperty(self.prop_name)
self.generic_property_test(
tlp.SizeProperty, random_size(), random_size(), random_size(),
random_size())
def test_size_property_tuple_int(self):
self.prop = self.graph.getSizeProperty(self.prop_name)
self.generic_property_test(
tlp.SizeProperty, random_coord_tuple_int(),
random_coord_tuple_int(), random_coord_tuple_int(),
random_coord_tuple_int(), check_type_inference=False)
def test_string_property(self):
self.prop = self.graph.getStringProperty(self.prop_name)
self.generic_property_test(
tlp.StringProperty, random_string(), random_string(),
random_string(), random_string())
def test_boolean_vector_property(self):
self.prop = self.graph.getBooleanVectorProperty(self.prop_name)
self.generic_property_test(
tlp.BooleanVectorProperty, random_boolean_list(),
random_boolean_list(), random_boolean_list(True),
random_boolean_list(True))
def test_color_vector_property(self):
self.prop = self.graph.getColorVectorProperty(self.prop_name)
self.generic_property_test(
tlp.ColorVectorProperty, random_color_list(), random_color_list(),
random_color_list(), random_color_list())
def test_color_tuple_vector_property(self):
self.prop = self.graph.getColorVectorProperty(self.prop_name)
self.generic_property_test(
tlp.ColorVectorProperty, random_color_tuple_list(),
random_color_tuple_list(), random_color_tuple_list(),
random_color_tuple_list())
def test_coord_vector_property(self):
self.prop = self.graph.getCoordVectorProperty(self.prop_name)
self.generic_property_test(
tlp.CoordVectorProperty, random_coord_list(), random_coord_list(),
random_coord_list(), random_coord_list())
def test_coord_tuple_vector_property(self):
self.prop = self.graph.getCoordVectorProperty(self.prop_name)
self.generic_property_test(
tlp.CoordVectorProperty, random_coord_tuple_list(),
random_coord_tuple_list(), random_coord_tuple_list(),
random_coord_tuple_list())
def test_coord_tuple_int_vector_property(self):
self.prop = self.graph.getCoordVectorProperty(self.prop_name)
self.generic_property_test(
tlp.CoordVectorProperty, random_coord_tuple_int_list(),
random_coord_tuple_int_list(), random_coord_tuple_int_list(),
random_coord_tuple_int_list(), check_type_inference=False)
def test_double_vector_property(self):
self.prop = self.graph.getDoubleVectorProperty(self.prop_name)
self.generic_property_test(
tlp.DoubleVectorProperty, random_double_list(),
random_double_list(), random_double_list(), random_double_list())
def test_int_vector_property(self):
self.prop = self.graph.getIntegerVectorProperty(self.prop_name)
self.generic_property_test(
tlp.IntegerVectorProperty, random_int_list(), random_int_list(),
random_int_list(), random_int_list())
def test_size_vector_property(self):
self.prop = self.graph.getSizeVectorProperty(self.prop_name)
self.generic_property_test(
tlp.SizeVectorProperty, random_size_list(), random_size_list(),
random_size_list(), random_size_list())
def test_size_tuple_int_vector_property(self):
self.prop = self.graph.getSizeVectorProperty(self.prop_name)
self.generic_property_test(
tlp.SizeVectorProperty, random_coord_tuple_int_list(),
random_coord_tuple_int_list(), random_coord_tuple_int_list(),
random_coord_tuple_int_list(), check_type_inference=False)
def test_string_vector_property(self):
self.prop = self.graph.getStringVectorProperty(self.prop_name)
self.generic_property_test(
tlp.StringVectorProperty, random_string_list(),
random_string_list(), random_string_list(), random_string_list())
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