code: def test_sparse_with_l1_regularization():
      run_sample(
          iterations=10,
          expected=[[-6.663634, 2.0], [4.0, 1.0292315]],
          optimizer=ProximalAdagrad(
              lr=3.0,
              initial_accumulator_value=0.1,
              l1_regularization_strength=0.001,
          ),
          sparse=True,
          rtol=5e-7,
      )
  
file_path: addons/tensorflow_addons/optimizers/tests/proximal_adagrad_test.py
imports: import numpy
  import tensorflow
  from tensorflow_addons.optimizers import ProximalAdagrad
label_desc: Use image node_id 6 for calling a global function with example usage: test_sparse_with_l1_regularization() without return types