def test_necessario(self):
        self.assertTrue(self.seg_p)

        seg_p2 = itau.registros.SegmentoP()
        self.assertFalse(seg_p2.necessario())

        seg_p2.controle_banco = 33
        self.assertFalse(seg_p2.necessario())

        seg_p2.vencimento_titulo = 10102012
        self.assertTrue(seg_p2.necessario())
def _compute_reg_grads(gen_grads, disc_vars):
  """Compute gradients norm (this is an upper-bpund of the full-batch norm)."""
  gen_norm = tf.accumulate_n([tf.reduce_sum(u * u) for u in gen_grads])
  disc_reg_grads = tf.gradients(gen_norm, disc_vars)
  return disc_reg_grads