/* * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file 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. */ /* * Do not modify this file. This file is generated from the sagemaker-2017-07-24.normal.json service model. */ using System; using System.Collections.Generic; using System.Globalization; using System.IO; using System.Net; using System.Text; using System.Xml.Serialization; using Amazon.SageMaker.Model; using Amazon.Runtime; using Amazon.Runtime.Internal; using Amazon.Runtime.Internal.Transform; using Amazon.Runtime.Internal.Util; using ThirdParty.Json.LitJson; namespace Amazon.SageMaker.Model.Internal.MarshallTransformations { /// /// Response Unmarshaller for RecommendationMetrics Object /// public class RecommendationMetricsUnmarshaller : IUnmarshaller, IUnmarshaller { /// /// Unmarshaller the response from the service to the response class. /// /// /// RecommendationMetrics IUnmarshaller.Unmarshall(XmlUnmarshallerContext context) { throw new NotImplementedException(); } /// /// Unmarshaller the response from the service to the response class. /// /// /// public RecommendationMetrics Unmarshall(JsonUnmarshallerContext context) { context.Read(); if (context.CurrentTokenType == JsonToken.Null) return null; RecommendationMetrics unmarshalledObject = new RecommendationMetrics(); int targetDepth = context.CurrentDepth; while (context.ReadAtDepth(targetDepth)) { if (context.TestExpression("CostPerHour", targetDepth)) { var unmarshaller = FloatUnmarshaller.Instance; unmarshalledObject.CostPerHour = unmarshaller.Unmarshall(context); continue; } if (context.TestExpression("CostPerInference", targetDepth)) { var unmarshaller = FloatUnmarshaller.Instance; unmarshalledObject.CostPerInference = unmarshaller.Unmarshall(context); continue; } if (context.TestExpression("CpuUtilization", targetDepth)) { var unmarshaller = FloatUnmarshaller.Instance; unmarshalledObject.CpuUtilization = unmarshaller.Unmarshall(context); continue; } if (context.TestExpression("MaxInvocations", targetDepth)) { var unmarshaller = IntUnmarshaller.Instance; unmarshalledObject.MaxInvocations = unmarshaller.Unmarshall(context); continue; } if (context.TestExpression("MemoryUtilization", targetDepth)) { var unmarshaller = FloatUnmarshaller.Instance; unmarshalledObject.MemoryUtilization = unmarshaller.Unmarshall(context); continue; } if (context.TestExpression("ModelLatency", targetDepth)) { var unmarshaller = IntUnmarshaller.Instance; unmarshalledObject.ModelLatency = unmarshaller.Unmarshall(context); continue; } if (context.TestExpression("ModelSetupTime", targetDepth)) { var unmarshaller = IntUnmarshaller.Instance; unmarshalledObject.ModelSetupTime = unmarshaller.Unmarshall(context); continue; } } return unmarshalledObject; } private static RecommendationMetricsUnmarshaller _instance = new RecommendationMetricsUnmarshaller(); /// /// Gets the singleton. /// public static RecommendationMetricsUnmarshaller Instance { get { return _instance; } } } }