code: def assert_almost_equals(
      self, a: np.ndarray, b: np.ndarray, tol: float
  ):
      diff = np.abs((a - b)).max()
      self.assertLessEqual(
          diff,
          tol,
          f"Difference between torch and flax is {diff} (>= {tol}).",
      )
  
imports: import tempfile
  import unittest
  import numpy
  from transformers import is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow, torch_device
  from ...test_modeling_flax_common import ids_tensor
  from ..bart.test_modeling_flax_bart import FlaxBartStandaloneDecoderModelTester
  from ..bert.test_modeling_flax_bert import FlaxBertModelTester
  from ..gpt2.test_modeling_flax_gpt2 import FlaxGPT2ModelTester
label_desc: Use image node_id 20 for calling the FlaxEncoderDecoderMixin obj's underlying member method code with example usage: obj.assert_almost_equals(a, b, tol) without return types