code: def test_accountant_load_state_dict(self) -> None:
      noise_multiplier = 1.5
      sample_rate = 0.04
      steps = int(90 / 0.04)
  
      accountant = RDPAccountant()
      for _ in range(steps - 1000):
          accountant.step(
              noise_multiplier=noise_multiplier, sample_rate=sample_rate
          )
  
      new_rdp_accountant = RDPAccountant()
      new_gdp_accountant = GaussianAccountant()
      # check corner cases
      with self.assertRaises(ValueError):
          new_rdp_accountant.load_state_dict({})
      with self.assertRaises(ValueError):
          new_rdp_accountant.load_state_dict({"1": 2})
      with self.assertRaises(ValueError):
          new_rdp_accountant.load_state_dict({"history": []})
      with self.assertRaises(ValueError):
          new_gdp_accountant.load_state_dict(accountant.state_dict())
      # check loading logic
      self.assertNotEqual(
          new_rdp_accountant.state_dict(), accountant.state_dict()
      )
      new_rdp_accountant.load_state_dict(accountant.state_dict())
      self.assertEqual(
          new_rdp_accountant.state_dict(), accountant.state_dict()
      )
  
      # ensure correct output after completion
      for _ in range(steps - 1000, steps):
          new_rdp_accountant.step(
              noise_multiplier=noise_multiplier, sample_rate=sample_rate
          )
  
      epsilon = new_rdp_accountant.get_epsilon(delta=1e-5)
      self.assertAlmostEqual(epsilon, 7.32911117143)
  
file_path: opacus/opacus/tests/accountants_test.py
imports: import unittest
  import hypothesis.strategies
  from hypothesis import given, settings
  from opacus.accountants import GaussianAccountant, PRVAccountant, RDPAccountant, create_accountant
  from opacus.accountants.utils import get_noise_multiplier
label_desc: Use image node_id 11 for calling the AccountingTest obj's underlying member method code with example usage: obj.test_accountant_load_state_dict() without return types