com.amazonaws.services.kendra.model.UpdateQuerySuggestionsConfigRequest 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.kendra.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 UpdateQuerySuggestionsConfigRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
*
* The identifier of the index with query suggestions you want to update.
*
*/
private String indexId;
/**
*
* Set the mode to ENABLED or LEARN_ONLY.
*
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
* suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
* for when you are ready to switch to ENABLED mode again.
*
*/
private String mode;
/**
*
* How recent your queries are in your query log time window.
*
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
*
*/
private Integer queryLogLookBackWindowInDays;
/**
*
* TRUE to include queries without user information (i.e. all queries, irrespective of the user),
* otherwise FALSE to only include queries with user information.
*
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE
* and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*
*/
private Boolean includeQueriesWithoutUserInformation;
/**
*
* The minimum number of unique users who must search a query in order for the query to be eligible to suggest to
* your users.
*
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by
* many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*/
private Integer minimumNumberOfQueryingUsers;
/**
*
* The the minimum number of times a query must be searched in order to be eligible to suggest to your users.
*
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as
* it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*/
private Integer minimumQueryCount;
/**
*
* Configuration information for the document fields/attributes that you want to base query suggestions on.
*
*/
private AttributeSuggestionsUpdateConfig attributeSuggestionsConfig;
/**
*
* The identifier of the index with query suggestions you want to update.
*
*
* @param indexId
* The identifier of the index with query suggestions you want to update.
*/
public void setIndexId(String indexId) {
this.indexId = indexId;
}
/**
*
* The identifier of the index with query suggestions you want to update.
*
*
* @return The identifier of the index with query suggestions you want to update.
*/
public String getIndexId() {
return this.indexId;
}
/**
*
* The identifier of the index with query suggestions you want to update.
*
*
* @param indexId
* The identifier of the index with query suggestions you want to update.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public UpdateQuerySuggestionsConfigRequest withIndexId(String indexId) {
setIndexId(indexId);
return this;
}
/**
*
* Set the mode to ENABLED or LEARN_ONLY.
*
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
* suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
* for when you are ready to switch to ENABLED mode again.
*
*
* @param mode
* Set the mode to ENABLED or LEARN_ONLY.
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off
* query suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up
* to date for when you are ready to switch to ENABLED mode again.
* @see Mode
*/
public void setMode(String mode) {
this.mode = mode;
}
/**
*
* Set the mode to ENABLED or LEARN_ONLY.
*
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
* suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
* for when you are ready to switch to ENABLED mode again.
*
*
* @return Set the mode to ENABLED or LEARN_ONLY.
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off
* query suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up
* to date for when you are ready to switch to ENABLED mode again.
* @see Mode
*/
public String getMode() {
return this.mode;
}
/**
*
* Set the mode to ENABLED or LEARN_ONLY.
*
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
* suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
* for when you are ready to switch to ENABLED mode again.
*
*
* @param mode
* Set the mode to ENABLED or LEARN_ONLY.
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off
* query suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up
* to date for when you are ready to switch to ENABLED mode again.
* @return Returns a reference to this object so that method calls can be chained together.
* @see Mode
*/
public UpdateQuerySuggestionsConfigRequest withMode(String mode) {
setMode(mode);
return this;
}
/**
*
* Set the mode to ENABLED or LEARN_ONLY.
*
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
* suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
* for when you are ready to switch to ENABLED mode again.
*
*
* @param mode
* Set the mode to ENABLED or LEARN_ONLY.
*
* By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off
* query suggestions. You can to update this at any time.
*
*
* In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up
* to date for when you are ready to switch to ENABLED mode again.
* @return Returns a reference to this object so that method calls can be chained together.
* @see Mode
*/
public UpdateQuerySuggestionsConfigRequest withMode(Mode mode) {
this.mode = mode.toString();
return this;
}
/**
*
* How recent your queries are in your query log time window.
*
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
*
*
* @param queryLogLookBackWindowInDays
* How recent your queries are in your query log time window.
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
*/
public void setQueryLogLookBackWindowInDays(Integer queryLogLookBackWindowInDays) {
this.queryLogLookBackWindowInDays = queryLogLookBackWindowInDays;
}
/**
*
* How recent your queries are in your query log time window.
*
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
*
*
* @return How recent your queries are in your query log time window.
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
*/
public Integer getQueryLogLookBackWindowInDays() {
return this.queryLogLookBackWindowInDays;
}
/**
*
* How recent your queries are in your query log time window.
*
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
*
*
* @param queryLogLookBackWindowInDays
* How recent your queries are in your query log time window.
*
* The time window is the number of days from current day to past days.
*
*
* By default, Amazon Kendra sets this to 180.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public UpdateQuerySuggestionsConfigRequest withQueryLogLookBackWindowInDays(Integer queryLogLookBackWindowInDays) {
setQueryLogLookBackWindowInDays(queryLogLookBackWindowInDays);
return this;
}
/**
*
* TRUE to include queries without user information (i.e. all queries, irrespective of the user),
* otherwise FALSE to only include queries with user information.
*
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE
* and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*
*
* @param includeQueriesWithoutUserInformation
* TRUE to include queries without user information (i.e. all queries, irrespective of the
* user), otherwise FALSE to only include queries with user information.
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to
* FALSE and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*/
public void setIncludeQueriesWithoutUserInformation(Boolean includeQueriesWithoutUserInformation) {
this.includeQueriesWithoutUserInformation = includeQueriesWithoutUserInformation;
}
/**
*
* TRUE to include queries without user information (i.e. all queries, irrespective of the user),
* otherwise FALSE to only include queries with user information.
*
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE
* and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*
*
* @return TRUE to include queries without user information (i.e. all queries, irrespective of the
* user), otherwise FALSE to only include queries with user information.
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to
* FALSE and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*/
public Boolean getIncludeQueriesWithoutUserInformation() {
return this.includeQueriesWithoutUserInformation;
}
/**
*
* TRUE to include queries without user information (i.e. all queries, irrespective of the user),
* otherwise FALSE to only include queries with user information.
*
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE
* and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*
*
* @param includeQueriesWithoutUserInformation
* TRUE to include queries without user information (i.e. all queries, irrespective of the
* user), otherwise FALSE to only include queries with user information.
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to
* FALSE and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public UpdateQuerySuggestionsConfigRequest withIncludeQueriesWithoutUserInformation(Boolean includeQueriesWithoutUserInformation) {
setIncludeQueriesWithoutUserInformation(includeQueriesWithoutUserInformation);
return this;
}
/**
*
* TRUE to include queries without user information (i.e. all queries, irrespective of the user),
* otherwise FALSE to only include queries with user information.
*
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE
* and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*
*
* @return TRUE to include queries without user information (i.e. all queries, irrespective of the
* user), otherwise FALSE to only include queries with user information.
*
* If you pass user information to Amazon Kendra along with the queries, you can set this flag to
* FALSE and instruct Amazon Kendra to only consider queries with user information.
*
*
* If you set to FALSE, Amazon Kendra only considers queries searched at least
* MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
* suggestions.
*
*
* If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
*/
public Boolean isIncludeQueriesWithoutUserInformation() {
return this.includeQueriesWithoutUserInformation;
}
/**
*
* The minimum number of unique users who must search a query in order for the query to be eligible to suggest to
* your users.
*
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by
* many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*
* @param minimumNumberOfQueryingUsers
* The minimum number of unique users who must search a query in order for the query to be eligible to
* suggest to your users.
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is searched
* by many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*/
public void setMinimumNumberOfQueryingUsers(Integer minimumNumberOfQueryingUsers) {
this.minimumNumberOfQueryingUsers = minimumNumberOfQueryingUsers;
}
/**
*
* The minimum number of unique users who must search a query in order for the query to be eligible to suggest to
* your users.
*
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by
* many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*
* @return The minimum number of unique users who must search a query in order for the query to be eligible to
* suggest to your users.
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is
* searched by many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*/
public Integer getMinimumNumberOfQueryingUsers() {
return this.minimumNumberOfQueryingUsers;
}
/**
*
* The minimum number of unique users who must search a query in order for the query to be eligible to suggest to
* your users.
*
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by
* many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*
* @param minimumNumberOfQueryingUsers
* The minimum number of unique users who must search a query in order for the query to be eligible to
* suggest to your users.
*
* Increasing this number might decrease the number of suggestions. However, this ensures a query is searched
* by many users and is truly popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public UpdateQuerySuggestionsConfigRequest withMinimumNumberOfQueryingUsers(Integer minimumNumberOfQueryingUsers) {
setMinimumNumberOfQueryingUsers(minimumNumberOfQueryingUsers);
return this;
}
/**
*
* The the minimum number of times a query must be searched in order to be eligible to suggest to your users.
*
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as
* it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*
* @param minimumQueryCount
* The the minimum number of times a query must be searched in order to be eligible to suggest to your
* users.
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of
* suggestions as it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*/
public void setMinimumQueryCount(Integer minimumQueryCount) {
this.minimumQueryCount = minimumQueryCount;
}
/**
*
* The the minimum number of times a query must be searched in order to be eligible to suggest to your users.
*
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as
* it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*
* @return The the minimum number of times a query must be searched in order to be eligible to suggest to your
* users.
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of
* suggestions as it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*/
public Integer getMinimumQueryCount() {
return this.minimumQueryCount;
}
/**
*
* The the minimum number of times a query must be searched in order to be eligible to suggest to your users.
*
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as
* it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
*
*
* @param minimumQueryCount
* The the minimum number of times a query must be searched in order to be eligible to suggest to your
* users.
*
* Decreasing this number increases the number of suggestions. However, this affects the quality of
* suggestions as it sets a low bar for a query to be considered popular to suggest to users.
*
*
* How you tune this setting depends on your specific needs.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public UpdateQuerySuggestionsConfigRequest withMinimumQueryCount(Integer minimumQueryCount) {
setMinimumQueryCount(minimumQueryCount);
return this;
}
/**
*
* Configuration information for the document fields/attributes that you want to base query suggestions on.
*
*
* @param attributeSuggestionsConfig
* Configuration information for the document fields/attributes that you want to base query suggestions on.
*/
public void setAttributeSuggestionsConfig(AttributeSuggestionsUpdateConfig attributeSuggestionsConfig) {
this.attributeSuggestionsConfig = attributeSuggestionsConfig;
}
/**
*
* Configuration information for the document fields/attributes that you want to base query suggestions on.
*
*
* @return Configuration information for the document fields/attributes that you want to base query suggestions on.
*/
public AttributeSuggestionsUpdateConfig getAttributeSuggestionsConfig() {
return this.attributeSuggestionsConfig;
}
/**
*
* Configuration information for the document fields/attributes that you want to base query suggestions on.
*
*
* @param attributeSuggestionsConfig
* Configuration information for the document fields/attributes that you want to base query suggestions on.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public UpdateQuerySuggestionsConfigRequest withAttributeSuggestionsConfig(AttributeSuggestionsUpdateConfig attributeSuggestionsConfig) {
setAttributeSuggestionsConfig(attributeSuggestionsConfig);
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 (getIndexId() != null)
sb.append("IndexId: ").append(getIndexId()).append(",");
if (getMode() != null)
sb.append("Mode: ").append(getMode()).append(",");
if (getQueryLogLookBackWindowInDays() != null)
sb.append("QueryLogLookBackWindowInDays: ").append(getQueryLogLookBackWindowInDays()).append(",");
if (getIncludeQueriesWithoutUserInformation() != null)
sb.append("IncludeQueriesWithoutUserInformation: ").append(getIncludeQueriesWithoutUserInformation()).append(",");
if (getMinimumNumberOfQueryingUsers() != null)
sb.append("MinimumNumberOfQueryingUsers: ").append(getMinimumNumberOfQueryingUsers()).append(",");
if (getMinimumQueryCount() != null)
sb.append("MinimumQueryCount: ").append(getMinimumQueryCount()).append(",");
if (getAttributeSuggestionsConfig() != null)
sb.append("AttributeSuggestionsConfig: ").append(getAttributeSuggestionsConfig());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof UpdateQuerySuggestionsConfigRequest == false)
return false;
UpdateQuerySuggestionsConfigRequest other = (UpdateQuerySuggestionsConfigRequest) obj;
if (other.getIndexId() == null ^ this.getIndexId() == null)
return false;
if (other.getIndexId() != null && other.getIndexId().equals(this.getIndexId()) == false)
return false;
if (other.getMode() == null ^ this.getMode() == null)
return false;
if (other.getMode() != null && other.getMode().equals(this.getMode()) == false)
return false;
if (other.getQueryLogLookBackWindowInDays() == null ^ this.getQueryLogLookBackWindowInDays() == null)
return false;
if (other.getQueryLogLookBackWindowInDays() != null && other.getQueryLogLookBackWindowInDays().equals(this.getQueryLogLookBackWindowInDays()) == false)
return false;
if (other.getIncludeQueriesWithoutUserInformation() == null ^ this.getIncludeQueriesWithoutUserInformation() == null)
return false;
if (other.getIncludeQueriesWithoutUserInformation() != null
&& other.getIncludeQueriesWithoutUserInformation().equals(this.getIncludeQueriesWithoutUserInformation()) == false)
return false;
if (other.getMinimumNumberOfQueryingUsers() == null ^ this.getMinimumNumberOfQueryingUsers() == null)
return false;
if (other.getMinimumNumberOfQueryingUsers() != null && other.getMinimumNumberOfQueryingUsers().equals(this.getMinimumNumberOfQueryingUsers()) == false)
return false;
if (other.getMinimumQueryCount() == null ^ this.getMinimumQueryCount() == null)
return false;
if (other.getMinimumQueryCount() != null && other.getMinimumQueryCount().equals(this.getMinimumQueryCount()) == false)
return false;
if (other.getAttributeSuggestionsConfig() == null ^ this.getAttributeSuggestionsConfig() == null)
return false;
if (other.getAttributeSuggestionsConfig() != null && other.getAttributeSuggestionsConfig().equals(this.getAttributeSuggestionsConfig()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getIndexId() == null) ? 0 : getIndexId().hashCode());
hashCode = prime * hashCode + ((getMode() == null) ? 0 : getMode().hashCode());
hashCode = prime * hashCode + ((getQueryLogLookBackWindowInDays() == null) ? 0 : getQueryLogLookBackWindowInDays().hashCode());
hashCode = prime * hashCode + ((getIncludeQueriesWithoutUserInformation() == null) ? 0 : getIncludeQueriesWithoutUserInformation().hashCode());
hashCode = prime * hashCode + ((getMinimumNumberOfQueryingUsers() == null) ? 0 : getMinimumNumberOfQueryingUsers().hashCode());
hashCode = prime * hashCode + ((getMinimumQueryCount() == null) ? 0 : getMinimumQueryCount().hashCode());
hashCode = prime * hashCode + ((getAttributeSuggestionsConfig() == null) ? 0 : getAttributeSuggestionsConfig().hashCode());
return hashCode;
}
@Override
public UpdateQuerySuggestionsConfigRequest clone() {
return (UpdateQuerySuggestionsConfigRequest) super.clone();
}
}