code: def test_errors(
      self,
      layer_class,
      init_kwargs={},
      input_shape=(2, 4, 5),
      skip_mask_test=False,
      **kwargs,
  ):
      if skip_mask_test:
          pytest.skip("Masking not supported")
  
      batch_size = input_shape[0]
      shape = input_shape[1:]
      x1 = np.random.rand(*input_shape)
      x1 = np.random.rand(batch_size, *shape)
  
      input_1 = layers.Input(shape=shape, batch_size=batch_size)
      input_2 = layers.Input(shape=shape, batch_size=batch_size)
      layer = layer_class(**init_kwargs)
  
      with self.assertRaisesRegex(
          ValueError, "`mask` should be a list."
      ):
          layer.compute_mask([input_1, input_2], x1)
  
      with self.assertRaisesRegex(
          ValueError, "`inputs` should be a list."
      ):
          layer.compute_mask(input_1, [None, None])
  
      with self.assertRaisesRegex(
          ValueError, " should have the same length."
      ):
          layer.compute_mask([input_1, input_2], [None])
  
file_path: keras/keras/layers/merging/merging_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from keras import backend
  from keras import layers
  from keras import models
  from keras import testing
label_desc: Use image node_id 4 for calling the MergingLayersTest obj's underlying member method code with example usage: obj.test_errors(layer_class, init_kwargs, input_shape, skip_mask_test) without return types