content: /*
   * Copyright 2022 The FeatHub 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
   *
   *     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.
   */
  
  package com.alibaba.feathub.flink.udf.aggregation;
  
  import org.apache.flink.api.java.tuple.Tuple2;
  import org.apache.flink.table.api.DataTypes;
  
  import org.assertj.core.util.Arrays;
  import org.junit.jupiter.api.Test;
  
  import static org.assertj.core.api.Assertions.assertThat;
  
  /** Test for {@link AvgAggFunc}. */
  class AvgAggFuncTest {
      @Test
      void testAvgAggregationFunctions() {
          innerTest(
                  Arrays.array(1, 2, 3, 4),
                  2.5,
                  3.0,
                  new AvgAggFunc<>(AggFuncUtils.getSumAggFunc(DataTypes.INT())));
          innerTest(
                  Arrays.array(1L, 2L, 3L),
                  2.0,
                  2.5,
                  new AvgAggFunc<>(AggFuncUtils.getSumAggFunc(DataTypes.BIGINT())));
          innerTest(
                  Arrays.array(1.0f, 2.0f, 3.0f),
                  2.0,
                  2.5,
                  new AvgAggFunc<>(AggFuncUtils.getSumAggFunc(DataTypes.FLOAT())));
          innerTest(
                  Arrays.array(1.0, 2.0, 3.0),
                  2.0,
                  2.5,
                  new AvgAggFunc<>(AggFuncUtils.getSumAggFunc(DataTypes.DOUBLE())));
      }
  
      @SuppressWarnings({"unchecked", "rawtypes"})
      private void innerTest(
              Number[] inputs,
              Double expectedResult,
              Double expectedResultAfterRetract,
              AvgAggFunc aggFunc) {
          Tuple2<Long, ?> accumulator = aggFunc.createAccumulator();
          assertThat(aggFunc.getResult(accumulator)).isEqualTo(null);
          for (Number input : inputs) {
              aggFunc.add(accumulator, input, 0);
          }
          assertThat(aggFunc.getResult(accumulator)).isEqualTo(expectedResult);
          aggFunc.retract(accumulator, inputs[0]);
          assertThat(aggFunc.getResult(accumulator)).isEqualTo(expectedResultAfterRetract);
      }
  }
  