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/*
 * Copyright 2015-2020 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.AmazonWebServiceRequest;

/**
 * 
 * @see AWS API
 *      Documentation
 */
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class CreateModelPackageRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {

    /**
     * 

* The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - * (hyphen). *

*

* This parameter is required for unversioned models. It is not applicable to versioned models. *

*/ private String modelPackageName; /** *

* The name of the model group that this model version belongs to. *

*

* This parameter is required for versioned models, and does not apply to unversioned models. *

*/ private String modelPackageGroupName; /** *

* A description of the model package. *

*/ private String modelPackageDescription; /** *

* Specifies details about inference jobs that can be run with models based on this model package, including the * following: *

*
    *
  • *

    * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

    *
  • *
  • *

    * The instance types that the model package supports for transform jobs and real-time endpoints used for inference. *

    *
  • *
  • *

    * The input and output content formats that the model package supports for inference. *

    *
  • *
*/ private InferenceSpecification inferenceSpecification; /** *

* Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package. *

*/ private ModelPackageValidationSpecification validationSpecification; /** *

* Details about the algorithm that was used to create the model package. *

*/ private SourceAlgorithmSpecification sourceAlgorithmSpecification; /** *

* Whether to certify the model package for listing on AWS Marketplace. *

*

* This parameter is optional for unversioned models, and does not apply to versioned models. *

*/ private Boolean certifyForMarketplace; /** *

* A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the AWS * General Reference Guide. *

*/ private java.util.List tags; /** *

* Whether the model is approved for deployment. *

*

* This parameter is optional for versioned models, and does not apply to unversioned models. *

*

* For versioned models, the value of this parameter must be set to Approved to deploy the model. *

*/ private String modelApprovalStatus; private MetadataProperties metadataProperties; /** *

* A structure that contains model metrics reports. *

*/ private ModelMetrics modelMetrics; /** *

* A unique token that guarantees that the call to this API is idempotent. *

*/ private String clientToken; /** *

* The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - * (hyphen). *

*

* This parameter is required for unversioned models. It is not applicable to versioned models. *

* * @param modelPackageName * The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, * and - (hyphen).

*

* This parameter is required for unversioned models. It is not applicable to versioned models. */ public void setModelPackageName(String modelPackageName) { this.modelPackageName = modelPackageName; } /** *

* The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - * (hyphen). *

*

* This parameter is required for unversioned models. It is not applicable to versioned models. *

* * @return The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, * and - (hyphen).

*

* This parameter is required for unversioned models. It is not applicable to versioned models. */ public String getModelPackageName() { return this.modelPackageName; } /** *

* The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - * (hyphen). *

*

* This parameter is required for unversioned models. It is not applicable to versioned models. *

* * @param modelPackageName * The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, * and - (hyphen).

*

* This parameter is required for unversioned models. It is not applicable to versioned models. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withModelPackageName(String modelPackageName) { setModelPackageName(modelPackageName); return this; } /** *

* The name of the model group that this model version belongs to. *

*

* This parameter is required for versioned models, and does not apply to unversioned models. *

* * @param modelPackageGroupName * The name of the model group that this model version belongs to.

*

* This parameter is required for versioned models, and does not apply to unversioned models. */ public void setModelPackageGroupName(String modelPackageGroupName) { this.modelPackageGroupName = modelPackageGroupName; } /** *

* The name of the model group that this model version belongs to. *

*

* This parameter is required for versioned models, and does not apply to unversioned models. *

* * @return The name of the model group that this model version belongs to.

*

* This parameter is required for versioned models, and does not apply to unversioned models. */ public String getModelPackageGroupName() { return this.modelPackageGroupName; } /** *

* The name of the model group that this model version belongs to. *

*

* This parameter is required for versioned models, and does not apply to unversioned models. *

* * @param modelPackageGroupName * The name of the model group that this model version belongs to.

*

* This parameter is required for versioned models, and does not apply to unversioned models. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withModelPackageGroupName(String modelPackageGroupName) { setModelPackageGroupName(modelPackageGroupName); return this; } /** *

* A description of the model package. *

* * @param modelPackageDescription * A description of the model package. */ public void setModelPackageDescription(String modelPackageDescription) { this.modelPackageDescription = modelPackageDescription; } /** *

* A description of the model package. *

* * @return A description of the model package. */ public String getModelPackageDescription() { return this.modelPackageDescription; } /** *

* A description of the model package. *

* * @param modelPackageDescription * A description of the model package. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withModelPackageDescription(String modelPackageDescription) { setModelPackageDescription(modelPackageDescription); return this; } /** *

* Specifies details about inference jobs that can be run with models based on this model package, including the * following: *

*
    *
  • *

    * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

    *
  • *
  • *

    * The instance types that the model package supports for transform jobs and real-time endpoints used for inference. *

    *
  • *
  • *

    * The input and output content formats that the model package supports for inference. *

    *
  • *
* * @param inferenceSpecification * Specifies details about inference jobs that can be run with models based on this model package, including * the following:

*
    *
  • *

    * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

    *
  • *
  • *

    * The instance types that the model package supports for transform jobs and real-time endpoints used for * inference. *

    *
  • *
  • *

    * The input and output content formats that the model package supports for inference. *

    *
  • */ public void setInferenceSpecification(InferenceSpecification inferenceSpecification) { this.inferenceSpecification = inferenceSpecification; } /** *

    * Specifies details about inference jobs that can be run with models based on this model package, including the * following: *

    *
      *
    • *

      * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

      *
    • *
    • *

      * The instance types that the model package supports for transform jobs and real-time endpoints used for inference. *

      *
    • *
    • *

      * The input and output content formats that the model package supports for inference. *

      *
    • *
    * * @return Specifies details about inference jobs that can be run with models based on this model package, including * the following:

    *
      *
    • *

      * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

      *
    • *
    • *

      * The instance types that the model package supports for transform jobs and real-time endpoints used for * inference. *

      *
    • *
    • *

      * The input and output content formats that the model package supports for inference. *

      *
    • */ public InferenceSpecification getInferenceSpecification() { return this.inferenceSpecification; } /** *

      * Specifies details about inference jobs that can be run with models based on this model package, including the * following: *

      *
        *
      • *

        * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

        *
      • *
      • *

        * The instance types that the model package supports for transform jobs and real-time endpoints used for inference. *

        *
      • *
      • *

        * The input and output content formats that the model package supports for inference. *

        *
      • *
      * * @param inferenceSpecification * Specifies details about inference jobs that can be run with models based on this model package, including * the following:

      *
        *
      • *

        * The Amazon ECR paths of containers that contain the inference code and model artifacts. *

        *
      • *
      • *

        * The instance types that the model package supports for transform jobs and real-time endpoints used for * inference. *

        *
      • *
      • *

        * The input and output content formats that the model package supports for inference. *

        *
      • * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withInferenceSpecification(InferenceSpecification inferenceSpecification) { setInferenceSpecification(inferenceSpecification); return this; } /** *

        * Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package. *

        * * @param validationSpecification * Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model * package. */ public void setValidationSpecification(ModelPackageValidationSpecification validationSpecification) { this.validationSpecification = validationSpecification; } /** *

        * Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package. *

        * * @return Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model * package. */ public ModelPackageValidationSpecification getValidationSpecification() { return this.validationSpecification; } /** *

        * Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package. *

        * * @param validationSpecification * Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model * package. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withValidationSpecification(ModelPackageValidationSpecification validationSpecification) { setValidationSpecification(validationSpecification); return this; } /** *

        * Details about the algorithm that was used to create the model package. *

        * * @param sourceAlgorithmSpecification * Details about the algorithm that was used to create the model package. */ public void setSourceAlgorithmSpecification(SourceAlgorithmSpecification sourceAlgorithmSpecification) { this.sourceAlgorithmSpecification = sourceAlgorithmSpecification; } /** *

        * Details about the algorithm that was used to create the model package. *

        * * @return Details about the algorithm that was used to create the model package. */ public SourceAlgorithmSpecification getSourceAlgorithmSpecification() { return this.sourceAlgorithmSpecification; } /** *

        * Details about the algorithm that was used to create the model package. *

        * * @param sourceAlgorithmSpecification * Details about the algorithm that was used to create the model package. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withSourceAlgorithmSpecification(SourceAlgorithmSpecification sourceAlgorithmSpecification) { setSourceAlgorithmSpecification(sourceAlgorithmSpecification); return this; } /** *

        * Whether to certify the model package for listing on AWS Marketplace. *

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. *

        * * @param certifyForMarketplace * Whether to certify the model package for listing on AWS Marketplace.

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. */ public void setCertifyForMarketplace(Boolean certifyForMarketplace) { this.certifyForMarketplace = certifyForMarketplace; } /** *

        * Whether to certify the model package for listing on AWS Marketplace. *

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. *

        * * @return Whether to certify the model package for listing on AWS Marketplace.

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. */ public Boolean getCertifyForMarketplace() { return this.certifyForMarketplace; } /** *

        * Whether to certify the model package for listing on AWS Marketplace. *

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. *

        * * @param certifyForMarketplace * Whether to certify the model package for listing on AWS Marketplace.

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withCertifyForMarketplace(Boolean certifyForMarketplace) { setCertifyForMarketplace(certifyForMarketplace); return this; } /** *

        * Whether to certify the model package for listing on AWS Marketplace. *

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. *

        * * @return Whether to certify the model package for listing on AWS Marketplace.

        *

        * This parameter is optional for unversioned models, and does not apply to versioned models. */ public Boolean isCertifyForMarketplace() { return this.certifyForMarketplace; } /** *

        * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the AWS * General Reference Guide. *

        * * @return A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the * AWS General Reference Guide. */ public java.util.List getTags() { return tags; } /** *

        * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the AWS * General Reference Guide. *

        * * @param tags * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the * AWS General Reference Guide. */ public void setTags(java.util.Collection tags) { if (tags == null) { this.tags = null; return; } this.tags = new java.util.ArrayList(tags); } /** *

        * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the AWS * General Reference Guide. *

        *

        * NOTE: This method appends the values to the existing list (if any). Use * {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the * existing values. *

        * * @param tags * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the * AWS General Reference Guide. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withTags(Tag... tags) { if (this.tags == null) { setTags(new java.util.ArrayList(tags.length)); } for (Tag ele : tags) { this.tags.add(ele); } return this; } /** *

        * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the AWS * General Reference Guide. *

        * * @param tags * A list of key value pairs associated with the model. For more information, see Tagging AWS resources in the * AWS General Reference Guide. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withTags(java.util.Collection tags) { setTags(tags); return this; } /** *

        * Whether the model is approved for deployment. *

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the model. *

        * * @param modelApprovalStatus * Whether the model is approved for deployment.

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the * model. * @see ModelApprovalStatus */ public void setModelApprovalStatus(String modelApprovalStatus) { this.modelApprovalStatus = modelApprovalStatus; } /** *

        * Whether the model is approved for deployment. *

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the model. *

        * * @return Whether the model is approved for deployment.

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the * model. * @see ModelApprovalStatus */ public String getModelApprovalStatus() { return this.modelApprovalStatus; } /** *

        * Whether the model is approved for deployment. *

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the model. *

        * * @param modelApprovalStatus * Whether the model is approved for deployment.

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the * model. * @return Returns a reference to this object so that method calls can be chained together. * @see ModelApprovalStatus */ public CreateModelPackageRequest withModelApprovalStatus(String modelApprovalStatus) { setModelApprovalStatus(modelApprovalStatus); return this; } /** *

        * Whether the model is approved for deployment. *

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the model. *

        * * @param modelApprovalStatus * Whether the model is approved for deployment.

        *

        * This parameter is optional for versioned models, and does not apply to unversioned models. *

        *

        * For versioned models, the value of this parameter must be set to Approved to deploy the * model. * @return Returns a reference to this object so that method calls can be chained together. * @see ModelApprovalStatus */ public CreateModelPackageRequest withModelApprovalStatus(ModelApprovalStatus modelApprovalStatus) { this.modelApprovalStatus = modelApprovalStatus.toString(); return this; } /** * @param metadataProperties */ public void setMetadataProperties(MetadataProperties metadataProperties) { this.metadataProperties = metadataProperties; } /** * @return */ public MetadataProperties getMetadataProperties() { return this.metadataProperties; } /** * @param metadataProperties * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withMetadataProperties(MetadataProperties metadataProperties) { setMetadataProperties(metadataProperties); return this; } /** *

        * A structure that contains model metrics reports. *

        * * @param modelMetrics * A structure that contains model metrics reports. */ public void setModelMetrics(ModelMetrics modelMetrics) { this.modelMetrics = modelMetrics; } /** *

        * A structure that contains model metrics reports. *

        * * @return A structure that contains model metrics reports. */ public ModelMetrics getModelMetrics() { return this.modelMetrics; } /** *

        * A structure that contains model metrics reports. *

        * * @param modelMetrics * A structure that contains model metrics reports. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withModelMetrics(ModelMetrics modelMetrics) { setModelMetrics(modelMetrics); return this; } /** *

        * A unique token that guarantees that the call to this API is idempotent. *

        * * @param clientToken * A unique token that guarantees that the call to this API is idempotent. */ public void setClientToken(String clientToken) { this.clientToken = clientToken; } /** *

        * A unique token that guarantees that the call to this API is idempotent. *

        * * @return A unique token that guarantees that the call to this API is idempotent. */ public String getClientToken() { return this.clientToken; } /** *

        * A unique token that guarantees that the call to this API is idempotent. *

        * * @param clientToken * A unique token that guarantees that the call to this API is idempotent. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateModelPackageRequest withClientToken(String clientToken) { setClientToken(clientToken); 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 (getModelPackageName() != null) sb.append("ModelPackageName: ").append(getModelPackageName()).append(","); if (getModelPackageGroupName() != null) sb.append("ModelPackageGroupName: ").append(getModelPackageGroupName()).append(","); if (getModelPackageDescription() != null) sb.append("ModelPackageDescription: ").append(getModelPackageDescription()).append(","); if (getInferenceSpecification() != null) sb.append("InferenceSpecification: ").append(getInferenceSpecification()).append(","); if (getValidationSpecification() != null) sb.append("ValidationSpecification: ").append(getValidationSpecification()).append(","); if (getSourceAlgorithmSpecification() != null) sb.append("SourceAlgorithmSpecification: ").append(getSourceAlgorithmSpecification()).append(","); if (getCertifyForMarketplace() != null) sb.append("CertifyForMarketplace: ").append(getCertifyForMarketplace()).append(","); if (getTags() != null) sb.append("Tags: ").append(getTags()).append(","); if (getModelApprovalStatus() != null) sb.append("ModelApprovalStatus: ").append(getModelApprovalStatus()).append(","); if (getMetadataProperties() != null) sb.append("MetadataProperties: ").append(getMetadataProperties()).append(","); if (getModelMetrics() != null) sb.append("ModelMetrics: ").append(getModelMetrics()).append(","); if (getClientToken() != null) sb.append("ClientToken: ").append(getClientToken()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof CreateModelPackageRequest == false) return false; CreateModelPackageRequest other = (CreateModelPackageRequest) obj; if (other.getModelPackageName() == null ^ this.getModelPackageName() == null) return false; if (other.getModelPackageName() != null && other.getModelPackageName().equals(this.getModelPackageName()) == false) return false; if (other.getModelPackageGroupName() == null ^ this.getModelPackageGroupName() == null) return false; if (other.getModelPackageGroupName() != null && other.getModelPackageGroupName().equals(this.getModelPackageGroupName()) == false) return false; if (other.getModelPackageDescription() == null ^ this.getModelPackageDescription() == null) return false; if (other.getModelPackageDescription() != null && other.getModelPackageDescription().equals(this.getModelPackageDescription()) == false) return false; if (other.getInferenceSpecification() == null ^ this.getInferenceSpecification() == null) return false; if (other.getInferenceSpecification() != null && other.getInferenceSpecification().equals(this.getInferenceSpecification()) == false) return false; if (other.getValidationSpecification() == null ^ this.getValidationSpecification() == null) return false; if (other.getValidationSpecification() != null && other.getValidationSpecification().equals(this.getValidationSpecification()) == false) return false; if (other.getSourceAlgorithmSpecification() == null ^ this.getSourceAlgorithmSpecification() == null) return false; if (other.getSourceAlgorithmSpecification() != null && other.getSourceAlgorithmSpecification().equals(this.getSourceAlgorithmSpecification()) == false) return false; if (other.getCertifyForMarketplace() == null ^ this.getCertifyForMarketplace() == null) return false; if (other.getCertifyForMarketplace() != null && other.getCertifyForMarketplace().equals(this.getCertifyForMarketplace()) == false) return false; if (other.getTags() == null ^ this.getTags() == null) return false; if (other.getTags() != null && other.getTags().equals(this.getTags()) == false) return false; if (other.getModelApprovalStatus() == null ^ this.getModelApprovalStatus() == null) return false; if (other.getModelApprovalStatus() != null && other.getModelApprovalStatus().equals(this.getModelApprovalStatus()) == false) return false; if (other.getMetadataProperties() == null ^ this.getMetadataProperties() == null) return false; if (other.getMetadataProperties() != null && other.getMetadataProperties().equals(this.getMetadataProperties()) == false) return false; if (other.getModelMetrics() == null ^ this.getModelMetrics() == null) return false; if (other.getModelMetrics() != null && other.getModelMetrics().equals(this.getModelMetrics()) == false) return false; if (other.getClientToken() == null ^ this.getClientToken() == null) return false; if (other.getClientToken() != null && other.getClientToken().equals(this.getClientToken()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getModelPackageName() == null) ? 0 : getModelPackageName().hashCode()); hashCode = prime * hashCode + ((getModelPackageGroupName() == null) ? 0 : getModelPackageGroupName().hashCode()); hashCode = prime * hashCode + ((getModelPackageDescription() == null) ? 0 : getModelPackageDescription().hashCode()); hashCode = prime * hashCode + ((getInferenceSpecification() == null) ? 0 : getInferenceSpecification().hashCode()); hashCode = prime * hashCode + ((getValidationSpecification() == null) ? 0 : getValidationSpecification().hashCode()); hashCode = prime * hashCode + ((getSourceAlgorithmSpecification() == null) ? 0 : getSourceAlgorithmSpecification().hashCode()); hashCode = prime * hashCode + ((getCertifyForMarketplace() == null) ? 0 : getCertifyForMarketplace().hashCode()); hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode()); hashCode = prime * hashCode + ((getModelApprovalStatus() == null) ? 0 : getModelApprovalStatus().hashCode()); hashCode = prime * hashCode + ((getMetadataProperties() == null) ? 0 : getMetadataProperties().hashCode()); hashCode = prime * hashCode + ((getModelMetrics() == null) ? 0 : getModelMetrics().hashCode()); hashCode = prime * hashCode + ((getClientToken() == null) ? 0 : getClientToken().hashCode()); return hashCode; } @Override public CreateModelPackageRequest clone() { return (CreateModelPackageRequest) super.clone(); } }




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