text: # Copyright 2019 Huawei Technologies Co., Ltd
  #
  # 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
  #
  # http://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.
  # ==============================================================================
  import numpy as np
  
  import mindspore.dataset as ds
  from util import config_get_set_seed, config_get_set_num_parallel_workers
  
  
  # Generate 1d int numpy array from 0 - 63
  def generator_1d():
      for i in range(4):
          yield (np.array([i]),)
  
  
  def test_case_0():
      """
      Test 1D Generator.
      Test without explicit kwargs for input args.
      """
      original_seed = config_get_set_seed(55)
      original_num_parallel_workers = config_get_set_num_parallel_workers(1)
  
      # apply dataset qoperations
      data1 = ds.GeneratorDataset(generator_1d, ["data"])
      data1 = data1.shuffle(2)
      data1 = data1.map((lambda x: x), ["data"])
      data1 = data1.batch(2)
  
      expected_data = np.array([[[1], [2]], [[3], [0]]])
      for i, data_row in enumerate(data1.create_tuple_iterator(output_numpy=True)):
          np.testing.assert_array_equal(data_row[0], expected_data[i])
  
      # Restore configuration
      ds.config.set_seed(original_seed)
      ds.config.set_num_parallel_workers((original_num_parallel_workers))
  
  
  if __name__ == "__main__":
      test_case_0()
  