com.amazonaws.services.sagemaker.model.SecondaryStatusTransition Maven / Gradle / Ivy
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/*
* Copyright 2019-2024 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.
*/
package com.amazonaws.services.sagemaker.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* An array element of SecondaryStatusTransitions for DescribeTrainingJob. It provides additional details about a status that the training job has transitioned
* through. A training job can be in one of several states, for example, starting, downloading, training, or uploading.
* Within each state, there are a number of intermediate states. For example, within the starting state, SageMaker could
* be starting the training job or launching the ML instances. These transitional states are referred to as the job's
* secondary status.
*
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class SecondaryStatusTransition implements Serializable, Cloneable, StructuredPojo {
/**
*
* Contains a secondary status information from a training job.
*
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input mode.
* It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
*
*/
private String status;
/**
*
* A timestamp that shows when the training job transitioned to the current secondary status state.
*
*/
private java.util.Date startTime;
/**
*
* A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
*
*/
private java.util.Date endTime;
/**
*
* A detailed description of the progress within a secondary status.
*
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that programmatically
* initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job,
* you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
*
*/
private String statusMessage;
/**
*
* Contains a secondary status information from a training job.
*
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input mode.
* It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
*
*
* @param status
* Contains a secondary status information from a training job.
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input
* mode. It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3
* location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
* @see SecondaryStatus
*/
public void setStatus(String status) {
this.status = status;
}
/**
*
* Contains a secondary status information from a training job.
*
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input mode.
* It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
*
*
* @return Contains a secondary status information from a training job.
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input
* mode. It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3
* location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
* @see SecondaryStatus
*/
public String getStatus() {
return this.status;
}
/**
*
* Contains a secondary status information from a training job.
*
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input mode.
* It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
*
*
* @param status
* Contains a secondary status information from a training job.
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input
* mode. It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3
* location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see SecondaryStatus
*/
public SecondaryStatusTransition withStatus(String status) {
setStatus(status);
return this;
}
/**
*
* Contains a secondary status information from a training job.
*
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input mode.
* It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
*
*
* @param status
* Contains a secondary status information from a training job.
*
* Status might be one of the following secondary statuses:
*
*
* - InProgress
* -
*
* -
*
* Starting - Starting the training job.
*
*
* -
*
* Downloading - An optional stage for algorithms that support File training input
* mode. It indicates that data is being downloaded to the ML storage volumes.
*
*
* -
*
* Training - Training is in progress.
*
*
* -
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3
* location.
*
*
*
*
* - Completed
* -
*
* -
*
* Completed - The training job has completed.
*
*
*
*
* - Failed
* -
*
* -
*
* Failed - The training job has failed. The reason for the failure is returned in the
* FailureReason field of DescribeTrainingJobResponse.
*
*
*
*
* - Stopped
* -
*
* -
*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
*
*
* -
*
* Stopped - The training job has stopped.
*
*
*
*
* - Stopping
* -
*
* -
*
* Stopping - Stopping the training job.
*
*
*
*
*
*
* We no longer support the following secondary statuses:
*
*
* -
*
* LaunchingMLInstances
*
*
* -
*
* PreparingTrainingStack
*
*
* -
*
* DownloadingTrainingImage
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see SecondaryStatus
*/
public SecondaryStatusTransition withStatus(SecondaryStatus status) {
this.status = status.toString();
return this;
}
/**
*
* A timestamp that shows when the training job transitioned to the current secondary status state.
*
*
* @param startTime
* A timestamp that shows when the training job transitioned to the current secondary status state.
*/
public void setStartTime(java.util.Date startTime) {
this.startTime = startTime;
}
/**
*
* A timestamp that shows when the training job transitioned to the current secondary status state.
*
*
* @return A timestamp that shows when the training job transitioned to the current secondary status state.
*/
public java.util.Date getStartTime() {
return this.startTime;
}
/**
*
* A timestamp that shows when the training job transitioned to the current secondary status state.
*
*
* @param startTime
* A timestamp that shows when the training job transitioned to the current secondary status state.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public SecondaryStatusTransition withStartTime(java.util.Date startTime) {
setStartTime(startTime);
return this;
}
/**
*
* A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
*
*
* @param endTime
* A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
*/
public void setEndTime(java.util.Date endTime) {
this.endTime = endTime;
}
/**
*
* A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
*
*
* @return A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
*/
public java.util.Date getEndTime() {
return this.endTime;
}
/**
*
* A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
*
*
* @param endTime
* A timestamp that shows when the training job transitioned out of this secondary status state into another
* secondary status state or when the training job has ended.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public SecondaryStatusTransition withEndTime(java.util.Date endTime) {
setEndTime(endTime);
return this;
}
/**
*
* A detailed description of the progress within a secondary status.
*
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that programmatically
* initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job,
* you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
*
*
* @param statusMessage
* A detailed description of the progress within a secondary status.
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that
* programmatically initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training
* job, you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
*/
public void setStatusMessage(String statusMessage) {
this.statusMessage = statusMessage;
}
/**
*
* A detailed description of the progress within a secondary status.
*
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that programmatically
* initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job,
* you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
*
*
* @return A detailed description of the progress within a secondary status.
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that
* programmatically initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a
* training job, you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
*/
public String getStatusMessage() {
return this.statusMessage;
}
/**
*
* A detailed description of the progress within a secondary status.
*
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that programmatically
* initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job,
* you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
*
*
* @param statusMessage
* A detailed description of the progress within a secondary status.
*
* SageMaker provides secondary statuses and status messages that apply to each of them:
*
*
* - Starting
* -
*
* -
*
* Starting the training job.
*
*
* -
*
* Launching requested ML instances.
*
*
* -
*
* Insufficient capacity error from EC2 while launching instances, retrying!
*
*
* -
*
* Launched instance was unhealthy, replacing it!
*
*
* -
*
* Preparing the instances for training.
*
*
*
*
* - Training
* -
*
* -
*
* Training image download completed. Training in progress.
*
*
*
*
*
*
*
* Status messages are subject to change. Therefore, we recommend not including them in code that
* programmatically initiates actions. For examples, don't use status messages in if statements.
*
*
*
* To have an overview of your training job's progress, view TrainingJobStatus and
* SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training
* job, you might see the following:
*
*
* -
*
* TrainingJobStatus - InProgress
*
*
* -
*
* SecondaryStatus - Training
*
*
* -
*
* StatusMessage - Downloading the training image
*
*
* @return Returns a reference to this object so that method calls can be chained together.
*/
public SecondaryStatusTransition withStatusMessage(String statusMessage) {
setStatusMessage(statusMessage);
return this;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getStatus() != null)
sb.append("Status: ").append(getStatus()).append(",");
if (getStartTime() != null)
sb.append("StartTime: ").append(getStartTime()).append(",");
if (getEndTime() != null)
sb.append("EndTime: ").append(getEndTime()).append(",");
if (getStatusMessage() != null)
sb.append("StatusMessage: ").append(getStatusMessage());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof SecondaryStatusTransition == false)
return false;
SecondaryStatusTransition other = (SecondaryStatusTransition) obj;
if (other.getStatus() == null ^ this.getStatus() == null)
return false;
if (other.getStatus() != null && other.getStatus().equals(this.getStatus()) == false)
return false;
if (other.getStartTime() == null ^ this.getStartTime() == null)
return false;
if (other.getStartTime() != null && other.getStartTime().equals(this.getStartTime()) == false)
return false;
if (other.getEndTime() == null ^ this.getEndTime() == null)
return false;
if (other.getEndTime() != null && other.getEndTime().equals(this.getEndTime()) == false)
return false;
if (other.getStatusMessage() == null ^ this.getStatusMessage() == null)
return false;
if (other.getStatusMessage() != null && other.getStatusMessage().equals(this.getStatusMessage()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getStatus() == null) ? 0 : getStatus().hashCode());
hashCode = prime * hashCode + ((getStartTime() == null) ? 0 : getStartTime().hashCode());
hashCode = prime * hashCode + ((getEndTime() == null) ? 0 : getEndTime().hashCode());
hashCode = prime * hashCode + ((getStatusMessage() == null) ? 0 : getStatusMessage().hashCode());
return hashCode;
}
@Override
public SecondaryStatusTransition clone() {
try {
return (SecondaryStatusTransition) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.sagemaker.model.transform.SecondaryStatusTransitionMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}