code: def test_sparse(
      self,
      layer_class,
      np_op,
      init_kwargs={},
      input_shape=(2, 4, 5),
      expected_output_shape=(2, 4, 5),
      **kwargs,
  ):
      import tensorflow as tf
  
      self.run_layer_test(
          layer_class,
          init_kwargs=init_kwargs,
          input_shape=[input_shape, input_shape],
          input_sparse=True,
          expected_output_shape=expected_output_shape,
          expected_output_sparse=True,
          expected_num_trainable_weights=0,
          expected_num_non_trainable_weights=0,
          expected_num_seed_generators=0,
          expected_num_losses=0,
          supports_masking=True,
          run_training_check=False,
          run_mixed_precision_check=False,
      )
  
      layer = layer_class(**init_kwargs)
  
      # Merging a sparse tensor with a dense tensor, or a dense tensor with a
      # sparse tensor produces a dense tensor
      x1 = tf.SparseTensor(
          indices=[[0, 0], [1, 2]],
          values=[1.0, 2.0],
          dense_shape=(2, 3),
      )
      x1_np = tf.sparse.to_dense(x1).numpy()
      x2 = np.random.rand(2, 3)
      self.assertAllClose(
          layer([x1, x2]), np_op(x1_np, x2, **init_kwargs)
      )
      self.assertAllClose(
          layer([x2, x1]), np_op(x2, x1_np, **init_kwargs)
      )
  
      # Merging a sparse tensor with a sparse tensor produces a sparse tensor
      x3 = tf.SparseTensor(
          indices=[[0, 0], [1, 1]],
          values=[4.0, 5.0],
          dense_shape=(2, 3),
      )
      x3_np = tf.sparse.to_dense(x3).numpy()
  
      self.assertIsInstance(layer([x1, x3]), tf.SparseTensor)
      self.assertAllClose(
          layer([x1, x3]), np_op(x1_np, x3_np, **init_kwargs)
      )
  
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 7 for calling the MergingLayersTest obj's underlying member method code with example usage: obj.test_sparse(layer_class, np_op, init_kwargs, input_shape, expected_output_shape) without return types