text: # coding=utf-8
  # Copyright 2021 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """Tests for learned_optimizers.optimizers.opt_list."""
  from absl.testing import absltest
  import jax
  import jax.numpy as jnp
  from learned_optimization.optimizers import opt_list
  from learned_optimization.optimizers import test_utils
  import numpy as onp
  
  
  class OptListTest(absltest.TestCase):
  
    def test_opt_list_nesterov(self):
      test_utils.smoketest_optimizer(opt_list.OptList(0))
  
    def test_opt_list_vmap_idx(self):
  
      def init_update(idx):
        opt = opt_list.OptList(idx)
        p = jnp.ones(10)
        opt_state = opt.init(p, num_steps=10)
        return opt.get_params(opt.update(opt_state, p))
  
      result = jax.vmap(init_update)(jnp.arange(10, dtype=jnp.int32))
      # ensure we computed different updates.
      self.assertGreater(onp.sum(onp.abs(result[0, :] - result[1, :])), 0.0001)
  
  
  if __name__ == '__main__':
    absltest.main()
  