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# This file is part of DEAP.
#
# DEAP 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.
#
# DEAP 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with DEAP. If not, see <http://www.gnu.org/licenses/>.
import unittest
import array
try:
import numpy
except ImportError:
numpy = False
from deap import creator
CNAME = "CLASS_NAME"
class TestCreator(unittest.TestCase):
def tearDown(self):
creator.__dict__.pop(CNAME)
def test_create(self):
creator.create(CNAME, list)
l = creator.__dict__[CNAME]([1, 2, 3, 4])
self.assertSequenceEqual(l, [1, 2, 3, 4])
def test_attribute(self):
creator.create(CNAME, list, a=1)
l = creator.__dict__[CNAME]([1, 2, 3, 4])
self.assertEqual(l.a, 1)
def test_array(self):
creator.create(CNAME, array.array, typecode="i")
a = creator.__dict__[CNAME]([1, 2, 3, 4])
b = creator.__dict__[CNAME]([5, 6, 7, 8])
a[1:3], b[1:3] = b[1:3], a[1:3]
ta = array.array("i", [1, 6, 7, 4])
tb = array.array("i", [5, 2, 3, 8])
self.assertSequenceEqual(a, ta)
self.assertSequenceEqual(b, tb)
@unittest.skipIf(not numpy, "Cannot import Numpy numerical library")
def test_numpy_nocopy(self):
creator.create(CNAME, numpy.ndarray)
a = creator.__dict__[CNAME]([1, 2, 3, 4])
b = creator.__dict__[CNAME]([5, 6, 7, 8])
a[1:3], b[1:3] = b[1:3], a[1:3]
ta = numpy.array([1, 6, 7, 4])
tb = numpy.array([5, 6, 7, 8])
numpy.testing.assert_array_equal(a, ta)
numpy.testing.assert_array_equal(b, tb)
@unittest.skipIf(not numpy, "Cannot import Numpy numerical library")
def test_numpy_copy(self):
creator.create(CNAME, numpy.ndarray)
a = creator.__dict__[CNAME]([1, 2, 3, 4])
b = creator.__dict__[CNAME]([5, 6, 7, 8])
a[1:3], b[1:3] = b[1:3].copy(), a[1:3].copy()
ta = numpy.array([1, 6, 7, 4])
tb = numpy.array([5, 2, 3, 8])
numpy.testing.assert_array_equal(a, ta)
numpy.testing.assert_array_equal(b, tb)
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