public class WatchdogClassificationEvent extends WatchdogMetadataElementEvent
| Constructor and Description |
|---|
WatchdogClassificationEvent()
Default constructor
|
WatchdogClassificationEvent(WatchdogClassificationEvent template)
Copy/clone constructor
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object objectToCompare)
Compare the values of the supplied object with those stored in the current object.
|
ElementClassification |
getChangedClassification()
Return the classification that is the subject of the event.
|
ElementClassification |
getPreviousClassification()
For UPDATED_CLASSIFICATION_PROPERTIES, return the previous version of the
classification (if available.
|
int |
hashCode()
Create a hash code for this element type.
|
void |
setChangedClassification(ElementClassification changedClassification)
Set up the classification that is the subject of the event.
|
void |
setPreviousClassification(ElementClassification previousClassification)
For UPDATED_CLASSIFICATION_PROPERTIES, set up the previous version of the
classification (if available.
|
String |
toString()
Standard toString method.
|
getMetadataElement, getPreviousMetadataElement, setMetadataElement, setPreviousMetadataElementgetEventType, setEventTypepublic WatchdogClassificationEvent()
public WatchdogClassificationEvent(WatchdogClassificationEvent template)
template - object to copypublic ElementClassification getChangedClassification()
public void setChangedClassification(ElementClassification changedClassification)
changedClassification - classificationpublic ElementClassification getPreviousClassification()
public void setPreviousClassification(ElementClassification previousClassification)
previousClassification - classificationpublic String toString()
toString in class WatchdogMetadataElementEventpublic boolean equals(Object objectToCompare)
equals in class WatchdogMetadataElementEventobjectToCompare - supplied objectpublic int hashCode()
hashCode in class WatchdogMetadataElementEventCopyright © 2018–2021 LF AI & Data Foundation. All rights reserved.