/*
* Copyright 2018-2023 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.glue.model;
import java.io.Serializable;
import javax.annotation.Generated;
/**
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class GetMLTransformResult extends com.amazonaws.AmazonWebServiceResult
* The unique identifier of the transform, generated at the time that the transform was created.
*
* The unique name given to the transform when it was created.
*
* A description of the transform.
*
* The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY",
* or "DELETING".
*
* The date and time when the transform was created.
*
* The date and time when the transform was last modified.
*
* A list of Glue table definitions used by the transform.
*
* The configuration parameters that are specific to the algorithm used.
*
* The latest evaluation metrics.
*
* The number of labels available for this transform.
*
* The
* The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
*
* This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is
* recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more
* information, see Glue Versions in
* the developer guide.
*
* The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can
* allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of
* 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
*
* When the
* The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.
*
* For the
* For the
* For the
* The number of workers of a defined
* The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this
* transform can consume resources before it is terminated and enters
* The maximum number of times to retry a task for this transform after a task run fails.
*
* The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms
* can access user data encrypted in Amazon S3 using KMS.
*
* The unique identifier of the transform, generated at the time that the transform was created.
*
* The unique identifier of the transform, generated at the time that the transform was created.
*
* The unique identifier of the transform, generated at the time that the transform was created.
*
* The unique name given to the transform when it was created.
*
* The unique name given to the transform when it was created.
*
* The unique name given to the transform when it was created.
*
* A description of the transform.
*
* A description of the transform.
*
* A description of the transform.
*
* The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY",
* or "DELETING".
*
* The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY",
* or "DELETING".
*
* The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY",
* or "DELETING".
*
* The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY",
* or "DELETING".
*
* The date and time when the transform was created.
*
* The date and time when the transform was created.
*
* The date and time when the transform was created.
*
* The date and time when the transform was last modified.
*
* The date and time when the transform was last modified.
*
* The date and time when the transform was last modified.
*
* A list of Glue table definitions used by the transform.
*
* A list of Glue table definitions used by the transform.
*
* A list of Glue table definitions used by the transform.
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setInputRecordTables(java.util.Collection)} or {@link #withInputRecordTables(java.util.Collection)} if
* you want to override the existing values.
*
* A list of Glue table definitions used by the transform.
*
* The configuration parameters that are specific to the algorithm used.
*
* The configuration parameters that are specific to the algorithm used.
*
* The configuration parameters that are specific to the algorithm used.
*
* The latest evaluation metrics.
*
* The latest evaluation metrics.
*
* The latest evaluation metrics.
*
* The number of labels available for this transform.
*
* The number of labels available for this transform.
*
* The number of labels available for this transform.
*
* The
* The
* The
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setSchema(java.util.Collection)} or {@link #withSchema(java.util.Collection)} if you want to override the
* existing values.
*
* The
* The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
*
* The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
*
* The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
*
* This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is
* recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more
* information, see Glue Versions in
* the developer guide.
*
* This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is
* recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more
* information, see Glue Versions in
* the developer guide.
*
* This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is
* recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more
* information, see Glue Versions in
* the developer guide.
*
* The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can
* allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of
* 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
*
* When the Map<Column, Type>
object that represents the schema that this transform accepts. Has an
* upper bound of 100 columns.
* WorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
*
*
*/
private String workerType;
/**
* Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2
* executors per worker.
* G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
* G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1
* executor per worker.
* workerType
that are allocated when this task runs.
* TIMEOUT
status. The default is
* 2,880 minutes (48 hours).
* Map<Column, Type>
object that represents the schema that this transform accepts. Has an
* upper bound of 100 columns.
* Map<Column, Type>
object that represents the schema that this transform accepts.
* Has an upper bound of 100 columns.
*/
public java.util.ListMap<Column, Type>
object that represents the schema that this transform accepts. Has an
* upper bound of 100 columns.
* Map<Column, Type>
object that represents the schema that this transform accepts.
* Has an upper bound of 100 columns.
*/
public void setSchema(java.util.CollectionMap<Column, Type>
object that represents the schema that this transform accepts. Has an
* upper bound of 100 columns.
* Map<Column, Type>
object that represents the schema that this transform accepts.
* Has an upper bound of 100 columns.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetMLTransformResult withSchema(SchemaColumn... schema) {
if (this.schema == null) {
setSchema(new java.util.ArrayListMap<Column, Type>
object that represents the schema that this transform accepts. Has an
* upper bound of 100 columns.
* Map<Column, Type>
object that represents the schema that this transform accepts.
* Has an upper bound of 100 columns.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetMLTransformResult withSchema(java.util.CollectionWorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
*
* When the WorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
*/
public void setMaxCapacity(Double maxCapacity) {
this.maxCapacity = maxCapacity;
}
/**
*
* The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can * allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of * 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page. *
*
* When the WorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
*
* When the WorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
*/
public Double getMaxCapacity() {
return this.maxCapacity;
}
/**
*
* The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can * allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of * 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page. *
*
* When the WorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
*
* When the WorkerType
field is set to a value other than Standard
, the
* MaxCapacity
field is set automatically and becomes read-only.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetMLTransformResult withMaxCapacity(Double maxCapacity) {
setMaxCapacity(maxCapacity);
return this;
}
/**
*
* The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X. *
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2
* executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1
* executor per worker.
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk,
* and 2 executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and
* 1 executor per worker.
*
* The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X. *
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2
* executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1
* executor per worker.
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk,
* and 2 executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and
* 1 executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and
* 1 executor per worker.
*
* The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X. *
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2
* executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1
* executor per worker.
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk,
* and 2 executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and
* 1 executor per worker.
*
* The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X. *
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2
* executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1
* executor per worker.
*
* For the Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk,
* and 2 executors per worker.
*
* For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1
* executor per worker.
*
* For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and
* 1 executor per worker.
*
* The number of workers of a defined workerType
that are allocated when this task runs.
*
workerType
that are allocated when this task runs.
*/
public void setNumberOfWorkers(Integer numberOfWorkers) {
this.numberOfWorkers = numberOfWorkers;
}
/**
*
* The number of workers of a defined workerType
that are allocated when this task runs.
*
workerType
that are allocated when this task runs.
*/
public Integer getNumberOfWorkers() {
return this.numberOfWorkers;
}
/**
*
* The number of workers of a defined workerType
that are allocated when this task runs.
*
workerType
that are allocated when this task runs.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetMLTransformResult withNumberOfWorkers(Integer numberOfWorkers) {
setNumberOfWorkers(numberOfWorkers);
return this;
}
/**
*
* The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this
* transform can consume resources before it is terminated and enters TIMEOUT
status. The default is
* 2,880 minutes (48 hours).
*
TIMEOUT
status. The
* default is 2,880 minutes (48 hours).
*/
public void setTimeout(Integer timeout) {
this.timeout = timeout;
}
/**
*
* The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this
* transform can consume resources before it is terminated and enters TIMEOUT
status. The default is
* 2,880 minutes (48 hours).
*
TIMEOUT
status. The
* default is 2,880 minutes (48 hours).
*/
public Integer getTimeout() {
return this.timeout;
}
/**
*
* The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this
* transform can consume resources before it is terminated and enters TIMEOUT
status. The default is
* 2,880 minutes (48 hours).
*
TIMEOUT
status. The
* default is 2,880 minutes (48 hours).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetMLTransformResult withTimeout(Integer timeout) {
setTimeout(timeout);
return this;
}
/**
* * The maximum number of times to retry a task for this transform after a task run fails. *
* * @param maxRetries * The maximum number of times to retry a task for this transform after a task run fails. */ public void setMaxRetries(Integer maxRetries) { this.maxRetries = maxRetries; } /** ** The maximum number of times to retry a task for this transform after a task run fails. *
* * @return The maximum number of times to retry a task for this transform after a task run fails. */ public Integer getMaxRetries() { return this.maxRetries; } /** ** The maximum number of times to retry a task for this transform after a task run fails. *
* * @param maxRetries * The maximum number of times to retry a task for this transform after a task run fails. * @return Returns a reference to this object so that method calls can be chained together. */ public GetMLTransformResult withMaxRetries(Integer maxRetries) { setMaxRetries(maxRetries); return this; } /** ** The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms * can access user data encrypted in Amazon S3 using KMS. *
* * @param transformEncryption * The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning * transforms can access user data encrypted in Amazon S3 using KMS. */ public void setTransformEncryption(TransformEncryption transformEncryption) { this.transformEncryption = transformEncryption; } /** ** The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms * can access user data encrypted in Amazon S3 using KMS. *
* * @return The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning * transforms can access user data encrypted in Amazon S3 using KMS. */ public TransformEncryption getTransformEncryption() { return this.transformEncryption; } /** ** The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms * can access user data encrypted in Amazon S3 using KMS. *
* * @param transformEncryption * The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning * transforms can access user data encrypted in Amazon S3 using KMS. * @return Returns a reference to this object so that method calls can be chained together. */ public GetMLTransformResult withTransformEncryption(TransformEncryption transformEncryption) { setTransformEncryption(transformEncryption); 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 (getTransformId() != null) sb.append("TransformId: ").append(getTransformId()).append(","); if (getName() != null) sb.append("Name: ").append(getName()).append(","); if (getDescription() != null) sb.append("Description: ").append(getDescription()).append(","); if (getStatus() != null) sb.append("Status: ").append(getStatus()).append(","); if (getCreatedOn() != null) sb.append("CreatedOn: ").append(getCreatedOn()).append(","); if (getLastModifiedOn() != null) sb.append("LastModifiedOn: ").append(getLastModifiedOn()).append(","); if (getInputRecordTables() != null) sb.append("InputRecordTables: ").append(getInputRecordTables()).append(","); if (getParameters() != null) sb.append("Parameters: ").append(getParameters()).append(","); if (getEvaluationMetrics() != null) sb.append("EvaluationMetrics: ").append(getEvaluationMetrics()).append(","); if (getLabelCount() != null) sb.append("LabelCount: ").append(getLabelCount()).append(","); if (getSchema() != null) sb.append("Schema: ").append(getSchema()).append(","); if (getRole() != null) sb.append("Role: ").append(getRole()).append(","); if (getGlueVersion() != null) sb.append("GlueVersion: ").append(getGlueVersion()).append(","); if (getMaxCapacity() != null) sb.append("MaxCapacity: ").append(getMaxCapacity()).append(","); if (getWorkerType() != null) sb.append("WorkerType: ").append(getWorkerType()).append(","); if (getNumberOfWorkers() != null) sb.append("NumberOfWorkers: ").append(getNumberOfWorkers()).append(","); if (getTimeout() != null) sb.append("Timeout: ").append(getTimeout()).append(","); if (getMaxRetries() != null) sb.append("MaxRetries: ").append(getMaxRetries()).append(","); if (getTransformEncryption() != null) sb.append("TransformEncryption: ").append(getTransformEncryption()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof GetMLTransformResult == false) return false; GetMLTransformResult other = (GetMLTransformResult) obj; if (other.getTransformId() == null ^ this.getTransformId() == null) return false; if (other.getTransformId() != null && other.getTransformId().equals(this.getTransformId()) == false) return false; if (other.getName() == null ^ this.getName() == null) return false; if (other.getName() != null && other.getName().equals(this.getName()) == false) return false; if (other.getDescription() == null ^ this.getDescription() == null) return false; if (other.getDescription() != null && other.getDescription().equals(this.getDescription()) == false) return false; if (other.getStatus() == null ^ this.getStatus() == null) return false; if (other.getStatus() != null && other.getStatus().equals(this.getStatus()) == false) return false; if (other.getCreatedOn() == null ^ this.getCreatedOn() == null) return false; if (other.getCreatedOn() != null && other.getCreatedOn().equals(this.getCreatedOn()) == false) return false; if (other.getLastModifiedOn() == null ^ this.getLastModifiedOn() == null) return false; if (other.getLastModifiedOn() != null && other.getLastModifiedOn().equals(this.getLastModifiedOn()) == false) return false; if (other.getInputRecordTables() == null ^ this.getInputRecordTables() == null) return false; if (other.getInputRecordTables() != null && other.getInputRecordTables().equals(this.getInputRecordTables()) == false) return false; if (other.getParameters() == null ^ this.getParameters() == null) return false; if (other.getParameters() != null && other.getParameters().equals(this.getParameters()) == false) return false; if (other.getEvaluationMetrics() == null ^ this.getEvaluationMetrics() == null) return false; if (other.getEvaluationMetrics() != null && other.getEvaluationMetrics().equals(this.getEvaluationMetrics()) == false) return false; if (other.getLabelCount() == null ^ this.getLabelCount() == null) return false; if (other.getLabelCount() != null && other.getLabelCount().equals(this.getLabelCount()) == false) return false; if (other.getSchema() == null ^ this.getSchema() == null) return false; if (other.getSchema() != null && other.getSchema().equals(this.getSchema()) == false) return false; if (other.getRole() == null ^ this.getRole() == null) return false; if (other.getRole() != null && other.getRole().equals(this.getRole()) == false) return false; if (other.getGlueVersion() == null ^ this.getGlueVersion() == null) return false; if (other.getGlueVersion() != null && other.getGlueVersion().equals(this.getGlueVersion()) == false) return false; if (other.getMaxCapacity() == null ^ this.getMaxCapacity() == null) return false; if (other.getMaxCapacity() != null && other.getMaxCapacity().equals(this.getMaxCapacity()) == false) return false; if (other.getWorkerType() == null ^ this.getWorkerType() == null) return false; if (other.getWorkerType() != null && other.getWorkerType().equals(this.getWorkerType()) == false) return false; if (other.getNumberOfWorkers() == null ^ this.getNumberOfWorkers() == null) return false; if (other.getNumberOfWorkers() != null && other.getNumberOfWorkers().equals(this.getNumberOfWorkers()) == false) return false; if (other.getTimeout() == null ^ this.getTimeout() == null) return false; if (other.getTimeout() != null && other.getTimeout().equals(this.getTimeout()) == false) return false; if (other.getMaxRetries() == null ^ this.getMaxRetries() == null) return false; if (other.getMaxRetries() != null && other.getMaxRetries().equals(this.getMaxRetries()) == false) return false; if (other.getTransformEncryption() == null ^ this.getTransformEncryption() == null) return false; if (other.getTransformEncryption() != null && other.getTransformEncryption().equals(this.getTransformEncryption()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getTransformId() == null) ? 0 : getTransformId().hashCode()); hashCode = prime * hashCode + ((getName() == null) ? 0 : getName().hashCode()); hashCode = prime * hashCode + ((getDescription() == null) ? 0 : getDescription().hashCode()); hashCode = prime * hashCode + ((getStatus() == null) ? 0 : getStatus().hashCode()); hashCode = prime * hashCode + ((getCreatedOn() == null) ? 0 : getCreatedOn().hashCode()); hashCode = prime * hashCode + ((getLastModifiedOn() == null) ? 0 : getLastModifiedOn().hashCode()); hashCode = prime * hashCode + ((getInputRecordTables() == null) ? 0 : getInputRecordTables().hashCode()); hashCode = prime * hashCode + ((getParameters() == null) ? 0 : getParameters().hashCode()); hashCode = prime * hashCode + ((getEvaluationMetrics() == null) ? 0 : getEvaluationMetrics().hashCode()); hashCode = prime * hashCode + ((getLabelCount() == null) ? 0 : getLabelCount().hashCode()); hashCode = prime * hashCode + ((getSchema() == null) ? 0 : getSchema().hashCode()); hashCode = prime * hashCode + ((getRole() == null) ? 0 : getRole().hashCode()); hashCode = prime * hashCode + ((getGlueVersion() == null) ? 0 : getGlueVersion().hashCode()); hashCode = prime * hashCode + ((getMaxCapacity() == null) ? 0 : getMaxCapacity().hashCode()); hashCode = prime * hashCode + ((getWorkerType() == null) ? 0 : getWorkerType().hashCode()); hashCode = prime * hashCode + ((getNumberOfWorkers() == null) ? 0 : getNumberOfWorkers().hashCode()); hashCode = prime * hashCode + ((getTimeout() == null) ? 0 : getTimeout().hashCode()); hashCode = prime * hashCode + ((getMaxRetries() == null) ? 0 : getMaxRetries().hashCode()); hashCode = prime * hashCode + ((getTransformEncryption() == null) ? 0 : getTransformEncryption().hashCode()); return hashCode; } @Override public GetMLTransformResult clone() { try { return (GetMLTransformResult) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } }