text: /*
   * SPDX-License-Identifier: Apache-2.0
   *
   * The OpenSearch Contributors require contributions made to
   * this file be licensed under the Apache-2.0 license or a
   * compatible open source license.
   *
   * Any modifications Copyright OpenSearch Contributors. See
   * GitHub history for details.
   */
  
  /*
   * Licensed to Elasticsearch B.V. under one or more contributor
   * license agreements. See the NOTICE file distributed with
   * this work for additional information regarding copyright
   * ownership. Elasticsearch B.V. licenses this file to you 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 { MODEL_TYPES } from '../../../../common/model_options';
  
  export const MODEL_SCRIPTS = {
    [MODEL_TYPES.UNWEIGHTED]: () => 'MovingFunctions.unweightedAvg(values)',
    [MODEL_TYPES.WEIGHTED_EXPONENTIAL]: ({ alpha }) => `MovingFunctions.ewma(values, ${alpha})`,
    [MODEL_TYPES.WEIGHTED_EXPONENTIAL_DOUBLE]: ({ alpha, beta }) =>
      `MovingFunctions.holt(values, ${alpha}, ${beta})`,
    [MODEL_TYPES.WEIGHTED_EXPONENTIAL_TRIPLE]: ({ alpha, beta, gamma, period, multiplicative }) =>
      `if (values.length > ${period}*2) {MovingFunctions.holtWinters(values, ${alpha}, ${beta}, ${gamma}, ${period}, ${multiplicative})}`,
    [MODEL_TYPES.WEIGHTED_LINEAR]: () => 'MovingFunctions.linearWeightedAvg(values)',
  };
  