com.amazonaws.services.augmentedairuntime.model.HumanLoopDataAttributes 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.augmentedairuntime.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Attributes of the data specified by the customer. Use these to describe the data to be labeled.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class HumanLoopDataAttributes implements Serializable, Cloneable, StructuredPojo {
/**
*
* Declares that your content is free of personally identifiable information or adult content.
*
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
*
*/
private java.util.List contentClassifiers;
/**
*
* Declares that your content is free of personally identifiable information or adult content.
*
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
*
*
* @return Declares that your content is free of personally identifiable information or adult content.
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
* @see ContentClassifier
*/
public java.util.List getContentClassifiers() {
return contentClassifiers;
}
/**
*
* Declares that your content is free of personally identifiable information or adult content.
*
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
*
*
* @param contentClassifiers
* Declares that your content is free of personally identifiable information or adult content.
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
* @see ContentClassifier
*/
public void setContentClassifiers(java.util.Collection contentClassifiers) {
if (contentClassifiers == null) {
this.contentClassifiers = null;
return;
}
this.contentClassifiers = new java.util.ArrayList(contentClassifiers);
}
/**
*
* Declares that your content is free of personally identifiable information or adult content.
*
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setContentClassifiers(java.util.Collection)} or {@link #withContentClassifiers(java.util.Collection)} if
* you want to override the existing values.
*
*
* @param contentClassifiers
* Declares that your content is free of personally identifiable information or adult content.
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ContentClassifier
*/
public HumanLoopDataAttributes withContentClassifiers(String... contentClassifiers) {
if (this.contentClassifiers == null) {
setContentClassifiers(new java.util.ArrayList(contentClassifiers.length));
}
for (String ele : contentClassifiers) {
this.contentClassifiers.add(ele);
}
return this;
}
/**
*
* Declares that your content is free of personally identifiable information or adult content.
*
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
*
*
* @param contentClassifiers
* Declares that your content is free of personally identifiable information or adult content.
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ContentClassifier
*/
public HumanLoopDataAttributes withContentClassifiers(java.util.Collection contentClassifiers) {
setContentClassifiers(contentClassifiers);
return this;
}
/**
*
* Declares that your content is free of personally identifiable information or adult content.
*
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
*
*
* @param contentClassifiers
* Declares that your content is free of personally identifiable information or adult content.
*
* Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this
* information.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ContentClassifier
*/
public HumanLoopDataAttributes withContentClassifiers(ContentClassifier... contentClassifiers) {
java.util.ArrayList contentClassifiersCopy = new java.util.ArrayList(contentClassifiers.length);
for (ContentClassifier value : contentClassifiers) {
contentClassifiersCopy.add(value.toString());
}
if (getContentClassifiers() == null) {
setContentClassifiers(contentClassifiersCopy);
} else {
getContentClassifiers().addAll(contentClassifiersCopy);
}
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 (getContentClassifiers() != null)
sb.append("ContentClassifiers: ").append(getContentClassifiers());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof HumanLoopDataAttributes == false)
return false;
HumanLoopDataAttributes other = (HumanLoopDataAttributes) obj;
if (other.getContentClassifiers() == null ^ this.getContentClassifiers() == null)
return false;
if (other.getContentClassifiers() != null && other.getContentClassifiers().equals(this.getContentClassifiers()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getContentClassifiers() == null) ? 0 : getContentClassifiers().hashCode());
return hashCode;
}
@Override
public HumanLoopDataAttributes clone() {
try {
return (HumanLoopDataAttributes) 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.augmentedairuntime.model.transform.HumanLoopDataAttributesMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}