text: # Copyright 2020 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 mindspore.common.dtype as mstype
  import mindspore.dataset as ds
  import mindspore.dataset.transforms.transforms as ops
  
  
  def test_random_apply():
      ds.config.set_seed(0)
  
      def test_config(arr, op_list, prob=0.5):
          try:
              data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
              data = data.map(operations=ops.RandomApply(op_list, prob), input_columns=["col"])
              res = []
              for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
                  res.append(i["col"].tolist())
              return res
          except (TypeError, ValueError) as e:
              return str(e)
  
      res1 = test_config([[0, 1]], [ops.Duplicate(), ops.Concatenate()])
      assert res1 in [[[0, 1]], [[0, 1, 0, 1]]]
      # test single nested compose
      assert test_config([[0, 1, 2]], [ops.Compose([ops.Duplicate(), ops.Concatenate(), ops.Slice([0, 1, 2])])]) == [
          [0, 1, 2]]
      # test exception
      assert "is not of type [<class 'list'>]" in test_config([1, 0], ops.TypeCast(mstype.int32))
      assert "Input prob is not within the required interval" in test_config([0, 1], [ops.Slice([0, 1])], 1.1)
      assert "is not of type [<class 'float'>, <class 'int'>]" in test_config([1, 0], [ops.TypeCast(mstype.int32)], None)
      assert "op_list with value None is not of type [<class 'list'>]" in test_config([1, 0], None)
  
  
  if __name__ == "__main__":
      test_random_apply()
  