def test_set_location(self):
f = Feature(ctype='d')
expected = [random.random(), random.random()]
f.location = expected
# making sure that we went through the setter, and not just setting the
# exact value to the property
numpy.testing.assert_almost_equal(f.location, expected, 16)
f = Feature(ctype='f')
expected = [random.random(), random.random()]
f.location = expected
numpy.testing.assert_almost_equal(f.location, expected, 6)
def test_set_location(self):
f = Feature(ctype=ctypes.c_double)
expected = [[random.random()], [random.random()]]
f.location = expected
# making sure that we went through the setter, and not just setting the
# exact value to the property
nose.tools.assert_is_instance(f.location, EigenArray)
numpy.testing.assert_almost_equal(f.location, expected, 16)
f = Feature(ctype=ctypes.c_float)
expected = [[random.random()], [random.random()]]
f.location = expected
nose.tools.assert_is_instance(f.location, EigenArray)
numpy.testing.assert_almost_equal(f.location, expected, 6)
def test_set_location(self):
f = Feature(ctype='d')
expected = [random.random(),
random.random()]
f.location = expected
# making sure that we went through the setter, and not just setting the
# exact value to the property
numpy.testing.assert_almost_equal(f.location, expected, 16)
f = Feature(ctype='f')
expected = [random.random(),
random.random()]
f.location = expected
numpy.testing.assert_almost_equal(f.location, expected, 6)
def test_set_location(self):
f = Feature(ctype=ctypes.c_double)
expected = [[random.random()],
[random.random()]]
f.location = expected
# making sure that we went through the setter, and not just setting the
# exact value to the property
nose.tools.assert_is_instance(f.location, EigenArray)
numpy.testing.assert_almost_equal(f.location, expected, 16)
f = Feature(ctype=ctypes.c_float)
expected = [[random.random()],
[random.random()]]
f.location = expected
nose.tools.assert_is_instance(f.location, EigenArray)
numpy.testing.assert_almost_equal(f.location, expected, 6)