text: #
  # Copyright 2018 Analytics Zoo Authors.
  #
  # 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 ray
  import pytest
  from pyspark.sql.types import ArrayType, DoubleType
  from pyspark.sql import SparkSession
  
  
  @pytest.fixture(autouse=True, scope='package')
  def orca_context_fixture():
      from zoo.orca import init_orca_context, stop_orca_context
      sc = init_orca_context(cores=8)
  
      def to_array_(v):
          return v.toArray().tolist()
  
      def flatten_(v):
          result = []
          for elem in v:
              result.extend(elem.toArray().tolist())
          return result
  
      spark = SparkSession(sc)
      spark.udf.register("to_array", to_array_, ArrayType(DoubleType()))
      spark.udf.register("flatten", flatten_, ArrayType(DoubleType()))
      yield
      stop_orca_context()
  