def test__update_units_doubles(self): an = AdaptiveNetwork(self.sample) an._update_units(lambda u, w: (u, w * 2)) self.assertTrue(len(an.units) == len(self.sample) and len(an.units) > 0) self.assertEqual([(u, w * 2) for u, w in self.sample], an.units)
def test__update_units_doubles(self): an = AdaptiveNetwork(self.sample) an._update_units(lambda u, w: (u, w * 2)) self.assertTrue( len(an.units) == len(self.sample) and len(an.units) > 0) self.assertEqual([(u, w * 2) for u, w in self.sample], an.units)
def test__update_units_to_None(self): an = AdaptiveNetwork(self.sample) an._update_units(lambda u, w: None) self.assertEqual(an.units, [])
def test__update_units_to_None(self): an = AdaptiveNetwork(self.sample) an._update_units(lambda u, w: None) self.assertEqual(an.units, [])