public class SchemaTypeChoiceProperties extends SchemaTypeProperties
| Constructor and Description |
|---|
SchemaTypeChoiceProperties()
Default constructor
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SchemaTypeChoiceProperties(SchemaTypeChoiceProperties template)
Copy/clone Constructor - the parentAsset is passed separately to the template because it is also
likely to be being cloned in the same operation and we want the definitions clone to point to the
asset clone and not the original asset.
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| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object objectToCompare)
Compare the values of the supplied object with those stored in the current object.
|
List<SchemaTypeProperties> |
getSchemaOptions()
Return the list of alternative schema types that this attribute or asset may use.
|
int |
hashCode()
Return hash code for this object
|
void |
setSchemaOptions(List<SchemaTypeProperties> schemaOptions)
Set up the list of alternative schema types that this attribute or asset may use.
|
String |
toString()
Standard toString method.
|
getAuthor, getEncodingStandard, getFormula, getNamespace, getQueries, getUsage, getVersionNumber, setAuthor, setEncodingStandard, setFormula, setNamespace, setQueries, setUsage, setVersionNumbergetDescription, getDisplayName, getIsDeprecated, setDescription, setDisplayName, setIsDeprecatedgetAdditionalProperties, getExtendedProperties, getQualifiedName, getTypeName, getVendorProperties, setAdditionalProperties, setExtendedProperties, setQualifiedName, setTypeName, setVendorPropertiespublic SchemaTypeChoiceProperties()
public SchemaTypeChoiceProperties(SchemaTypeChoiceProperties template)
template - template object to copy.public List<SchemaTypeProperties> getSchemaOptions()
public void setSchemaOptions(List<SchemaTypeProperties> schemaOptions)
schemaOptions - list of schema typespublic boolean equals(Object objectToCompare)
equals in class SchemaTypePropertiesobjectToCompare - supplied objectpublic String toString()
toString in class SchemaTypePropertiespublic int hashCode()
hashCode in class SchemaTypePropertiesCopyright © 2018–2021 LF AI & Data Foundation. All rights reserved.