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)
Example #2
0
 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, [])
Example #4
0
 def test__update_units_to_None(self):
     an = AdaptiveNetwork(self.sample)
     an._update_units(lambda u, w: None)
     self.assertEqual(an.units, [])