public void UpdateMLModelMarshallTest() { var request = InstantiateClassGenerator.Execute <UpdateMLModelRequest>(); var marshaller = new UpdateMLModelRequestMarshaller(); var internalRequest = marshaller.Marshall(request); var jsonRequest = UTF8Encoding.UTF8.GetString(internalRequest.Content); Comparer.CompareObjectToJson <UpdateMLModelRequest>(request, jsonRequest); var webResponse = new WebResponseData { Headers = { { "x-amzn-RequestId", Guid.NewGuid().ToString() }, { "x-amz-crc32", "0" } } }; var jsonResponse = new JsonSampleGenerator(service_model, service_model.FindOperation("UpdateMLModel").ResponseStructure).Execute(); webResponse.Headers.Add("Content-Length", UTF8Encoding.UTF8.GetBytes(jsonResponse).Length.ToString()); UnmarshallerContext context = new JsonUnmarshallerContext(Utils.CreateStreamFromString(jsonResponse), false, webResponse); var response = UpdateMLModelResponseUnmarshaller.Instance.Unmarshall(context) as UpdateMLModelResponse; InstantiateClassGenerator.ValidateObjectFullyInstantiated(response); }
/// <summary> /// Initiates the asynchronous execution of the UpdateMLModel operation. /// </summary> /// /// <param name="request">Container for the necessary parameters to execute the UpdateMLModel operation.</param> /// <param name="cancellationToken"> /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. /// </param> /// <returns>The task object representing the asynchronous operation.</returns> public Task<UpdateMLModelResponse> UpdateMLModelAsync(UpdateMLModelRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken)) { var marshaller = new UpdateMLModelRequestMarshaller(); var unmarshaller = UpdateMLModelResponseUnmarshaller.Instance; return InvokeAsync<UpdateMLModelRequest,UpdateMLModelResponse>(request, marshaller, unmarshaller, cancellationToken); }
public void UpdateMLModelMarshallTest() { var request = InstantiateClassGenerator.Execute<UpdateMLModelRequest>(); var marshaller = new UpdateMLModelRequestMarshaller(); var internalRequest = marshaller.Marshall(request); var jsonRequest = UTF8Encoding.UTF8.GetString(internalRequest.Content); Comparer.CompareObjectToJson<UpdateMLModelRequest>(request,jsonRequest); var webResponse = new WebResponseData { Headers = { {"x-amzn-RequestId", Guid.NewGuid().ToString()}, {"x-amz-crc32","0"} } }; var jsonResponse = new JsonSampleGenerator(service_model, service_model.FindOperation("UpdateMLModel").ResponseStructure).Execute(); webResponse.Headers.Add("Content-Length", UTF8Encoding.UTF8.GetBytes(jsonResponse).Length.ToString()); UnmarshallerContext context = new JsonUnmarshallerContext(Utils.CreateStreamFromString(jsonResponse), false, webResponse); var response = UpdateMLModelResponseUnmarshaller.Instance.Unmarshall(context) as UpdateMLModelResponse; InstantiateClassGenerator.ValidateObjectFullyInstantiated(response); }
internal UpdateMLModelResponse UpdateMLModel(UpdateMLModelRequest request) { var marshaller = new UpdateMLModelRequestMarshaller(); var unmarshaller = UpdateMLModelResponseUnmarshaller.Instance; return Invoke<UpdateMLModelRequest,UpdateMLModelResponse>(request, marshaller, unmarshaller); }
/// <summary> /// Initiates the asynchronous execution of the UpdateMLModel operation. /// </summary> /// /// <param name="request">Container for the necessary parameters to execute the UpdateMLModel operation on AmazonMachineLearningClient.</param> /// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param> /// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.</param> /// /// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndUpdateMLModel /// operation.</returns> public IAsyncResult BeginUpdateMLModel(UpdateMLModelRequest request, AsyncCallback callback, object state) { var marshaller = new UpdateMLModelRequestMarshaller(); var unmarshaller = UpdateMLModelResponseUnmarshaller.Instance; return BeginInvoke<UpdateMLModelRequest>(request, marshaller, unmarshaller, callback, state); }